## Qualifications
* The ideal candidate will possess strong leadership skills, a deep understanding of user-centric design, and the ability to translate insights into actionable strategies
* Join a company that values creativity and collaboration, and make a significant impact on the future of digital insurance solutions for small businesses
## Responsibilities
* This role involves developing a compelling product vision, focusing on integrating cutting-edge technologies like Generative AI to create exceptional user experiences

## Full Description
An innovative firm is seeking a Head of Product to lead strategic initiatives and drive product innovation in a fast-paced environment. This role involves developing a compelling product vision, focusing on integrating cutting-edge technologies like Generative AI to create exceptional user experiences. The ideal candidate will possess strong leadership skills, a deep understanding of user-centricdesign, and the ability to translate insights into actionable strategies. Join a company that values creativity and collaboration, and make a significant impact on the future of digital insurance solutions for small businesses. If you are passionate about delivering outstanding customer experiences, this opportunity is for you. #J-18808-Ljbffr



## Qualifications
* What you bring To thrive in this role you will likely bring 10+ years of experience in product and engineering, with at least 5 years leading multi team organisations at Senior Director or similar level
* Proven success scaling two sided platforms, marketplaces or high volume SaaS or data ecosystems
* Strong technical depth in distributed systems, workflow automation and cloud native infrastructure (AWS, GCP or Azure)
* Strong communication skills with technical and non technical stakeholders, including executive leadership
* Experience owning payments, KYC, compliance or trust and safety in a multi country context
* Background in AI data, GenAI or data infrastructure platforms
* Work pattern: Hybrid or remote first, with some travel to key offices and leadership meetings as needed
* Requirements Key requirements 10+ years in product and engineering, including 5+ years leading multi-team organisations at Senior Director or similar level
* Proven success scaling two-sided platforms, marketplaces, or high-volume SaaS or data ecosystems
* Strong technical depth in distributed systems, workflow automation, and cloud native infrastructure (AWS, GCP, or Azure)
* Experience integrating ML or AI into production platforms for matching, personalisation, or fraud and quality signals
* Strong communication skills with technical and non-technical stakeholders, including executive leadership
* Opportunity to own product and engineering for a core AI platform that is scaling globally
## Benefits
* Package Competitive base salary in the region of USD 250,000
* Performance based bonus or OTE, with additional long term upside for strong and sustained performance
* Benefits Competitive base salary around USD 250,000 with performance based bonus
* Flexible work set up with hybrid or remote options, depending on location
## Responsibilities
* You will own the product and engineering direction, from architecture to execution, as it scales to millions of transactions with enterprise grade reliability
* The opportunity In this role you will own the product and engineering strategy for a two sided AI talent and data platform
* You will lead multiple teams, work closely with senior commercial and delivery stakeholders, and be accountable for reliability, speed of delivery and the long term technical roadmap
* What you will do Own the product and engineering vision for the platform, in partnership with executive leadership
* Lead multiple engineering and product teams responsible for matching, workflows, payments, security and compliance
* Design and evolve architectures that support high transaction volumes, global onboarding, workflow automation and payouts
* Integrate ML and AI into the platform for matching, personalisation, fraud detection and quality prediction
* Establish and track metrics and dashboards for reliability, performance and product health
* Build and reinforce engineering and product practices that support fast, safe delivery at scale
* Partner with commercial and delivery leaders to align the roadmap with customer needs and growth priorities
* Attract, develop and retain senior engineering and product talent across multiple locations
* Experience integrating ML or AI into production platforms for matching, personalisation or fraud and quality signals
* Track record managing globally distributed teams through periods of growth and change
* Location and set up Location flexible for senior candidates, with a preference for major tech hubs in North America or similar time zones
* Track record leading globally distributed engineering and product teams through growth and change
* Senior level role with direct influence on technical roadmap, architecture and ways of working

## Full Description
If you have already taken a high volume platform from "working" to "critical infrastructure" and you want your next build to sit at the heart of how global AI workforces are orchestrated, this role is designed for you. Our client is scaling a global platform that connects expert talent and AI projects across hundreds of markets. You will own the product and engineering direction, from architectureto execution, as it scales to millions of transactions with enterprise grade reliability.

About our client Our client is a global AI and data company that helps leading technology and enterprise organisations build and scale production grade AI. Their platform processes large volumes of expert and project interactions, powers AI driven matching and workflow orchestration, and supports secure payments and compliance across many countries. The work is global, high scale and closely tied to strategic AI initiatives for technology and enterprise customers.

The opportunity In this role you will own the product and engineering strategy for a two sided AI talent and data platform. You will lead multiple teams, work closely with senior commercial and delivery stakeholders, and be accountable for reliability, speed of delivery and the long term technical roadmap. What you will do Own the product and engineering vision for the platform, in partnership with executive leadership.

Lead multiple engineering and product teams responsible for matching, workflows, payments, security and compliance. Design and evolve architectures that support high transaction volumes, global onboarding, workflow automation and payouts. Integrate ML and AI into the platform for matching, personalisation, fraud detection and quality prediction.

Establish and track metrics and dashboards for reliability, performance and product health. Build and reinforce engineering and product practices that support fast, safe delivery at scale. Partner with commercial and delivery leaders to align the roadmap with customer needs and growth priorities.

Attract, develop and retain senior engineering and product talent across multiple locations. What you bring To thrive in this role you will likely bring 10+ years of experience in product and engineering, with at least 5 years leading multi team organisations at Senior Director or similar level. Proven success scaling two sided platforms, marketplaces or high volume SaaS or data ecosystems.

Strong technical depth in distributed systems, workflow automation and cloud native infrastructure (AWS, GCP or Azure). Experience integrating ML or AI into production platforms for matching, personalisation or fraud and quality signals. Track record managing globally distributed teams through periods of growth and change.

Strong communication skills with technical and non technical stakeholders, including executive leadership. It is a plus if you also have Experience from talent marketplaces, on demand platforms or other high transaction environments. Experience owning payments, KYC, compliance or trust and safety in a multi country context.

Background in AI data, GenAI or data infrastructure platforms. Location and set up Location flexible for senior candidates, with a preference for major tech hubs in North America or similar time zones. Work pattern: Hybrid or remote first, with some travel to key offices and leadership meetings as needed.

Package Competitive base salary in the region of USD 250,000. Performance based bonus or OTE, with additional long term upside for strong and sustained performance. About the process This is a confidential search led by ResourceWell, a boutique executive search and talent advisory firm specialising in AI & Data, Software and Global Communication.

If your experience is close to what we describe here and you are open to a confidential conversation, you are welcome to apply or reach out directly. We will share more about the company, context and expectations with shortlisted candidates and explore what would need to be true for a move to make sense for you. Requirements Key requirements 10+ years in product and engineering, including 5+ years leading multi-team organisations at Senior Director or similar level.

Proven success scaling two-sided platforms, marketplaces, or high-volume SaaS or data ecosystems. Strong technical depth in distributed systems, workflow automation, and cloud native infrastructure (AWS, GCP, or Azure). Experience integrating ML or AI into production platforms for matching, personalisation, or fraud and quality signals.

Track record leading globally distributed engineering and product teams through growth and change. Strong communication skills with technical and non-technical stakeholders, including executive leadership. For full context, please see the job description above.

Benefits Competitive base salary around USD 250,000 with performance based bonus. Opportunity to own product and engineering for a core AI platform that is scaling globally. Senior level role with direct influence on technical roadmap, architecture and ways of working.

Flexible work set up with hybrid or remote options, depending on location. Full details will be shared with shortlisted candidates.




## Full Description
Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify theidentities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure. Together we offer fantastic opportunities for committed employees to learn and develop their career with us. At Thales UK, we research, develop, and supply technology and services that impact the lives of millions of people each day to make life better, and keep us safer. We innovate across the major industries of Aerospace, Defence, Security and Space. Your health and well-being matters to us and thats why we offer you the flexibility to do whats important to you; whether thats part time hours, job sharing, home working, or the ability to flex your start and finish times. Where possible, we support a working pattern that suits your lifestyle and helps you reach your ambitions.

Cybersecurity Penetration Tester

Location: Remote (with UK-wide regular on-site client visits; approximately 50% monthly travel for on-site pen testing)

Join a team where red teaming meets real impact - safeguarding defence platforms that shape national security!

What The Role Has To Offer

• Safeguard UK Defence systems through advanced penetration testing and red teaming on critical military platforms

• Tackle complex threat simulations and exploit development across IT, OT, cloud, and embedded environments

• Use cutting-edge tools with funded training and certifications (CHECK, CREST, OSCP, GIAC)

• A developmental role where youll put your own stamp on future capability

Our Opportunity

We are seeking a security-cleared Penetration Tester to join our dynamic Cyber Security team, working at the forefront of UK Defence and national security. In this role, youll take on advanced security testing, vulnerability assessments, and red team exercises across both classified and unclassified environments - directly strengthening the resilience of mission-critical networks and applications.

This position offers the opportunity to apply your expertise in offensive security methodologies, secure system design, and the unique challenges of defence environments. While prior defence experience is highly valued, we also welcome applications from seasoned red team specialists and offensive security professionals from sectors such as utilities, nuclear, and automotive, who bring transferable skills and fresh perspectives to our mission.

Building a Future, we can all trust.

The Thales product portfolio wouldnt exist without the core engineering specialities that are AI, Cyber and Human Factors. These future-focused skills play an essential role within the wider engineering organisation and provide great opportunities to work on cutting-edge technologies.

Cybersecurity and Digital Identity (CDI) - from secure software to biometrics and encryption, CDI GBU technologies and services enable businesses and governments to authenticate identities and protect data, so they stay safe and enable services in personal devices, connected objects, the cloud and in between. Cybersecurity Premium Services (CPS) supports its enterprise and government customers in the cybersecurity of their digital transformation. We contribute to the identification and control of cyber risks, ensure the implementation of best reduction practices, operate threat driven cyber incident detection and response services, and intervene with our clients when attacks materialise.

What We Offer You

We offer a competitive salary and benefits package designed to support our employees wellbeing and professional growth, which includes:

• Annual bonus (VCP)

• Pension match like-for-like up to 7% of annual base salary

• Life Assurance 2 x base salary minimum (8 x salary if part of the pension scheme)

• Income Protection 50% of salary less state benefits for 5 years

• Annual Leave 201 hours, bank holidays, plus 1 company day

• Private Medical Insurance - Couples cover

• Half day every Friday, usually finishing around 1:00pm

• 24/7 Employee Assistance Programme

• 24 hours paid leave for volunteering activities

• Access to flexible benefits and discounts dental insurance, buying & selling annual leave, cycle to work, and many more

Key Responsibilities And Tasks

• Lead end-to-end penetration testing across networks, applications, cloud infrastructures, and embedded systems - delivering actionable insights that strengthen mission-critical environments

• Drive advanced vulnerability assessments and exploit development, executing post-exploitation activities within authorised scopes to uncover hidden risks and resilience gaps

• Orchestrate red and purple team engagements, simulating sophisticated threat scenarios against defence systems to rigorously test and enhance security posture

• Produce high-impact technical reports and executive briefings, translating complex findings into clear risk narratives, business impact assessments, and prioritised remediation strategies

• Partner with defensive operations and risk management teams to sharpen detection, accelerate response, and embed proactive resilience across the enterprise

• Stay ahead of adversaries by maintaining expert knowledge of tactics, techniques, and procedures (TTPs) employed by state and non-state actors in the defence sector

• Advance security testing methodologies and tooling, contributing to innovative threat modelling approaches tailored for complex, high-assurance environments

• Champion compliance and assurance by aligning practices with MOD, NCSC, and international standards (JSP 440, ISO 27001, NIST, CHECK, CREST), ensuring robust governance and trust

About You

At Thales, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the worlds most critical challenges.

Essential

• Degree in Computing, Cybersecurity, or a related field - or equivalent professional experience in lieu of formal tertiary studies

• CHECK Team Leader accreditation currently held

• Demonstrated track record as a Penetration Tester, Red Team Operator, or equivalent offensive security specialist

• Proven ability to manage small technical teams, demonstrating strong people skills, mentorship, and collaborative leadership

• Deep expertise in network protocols, application security, operating systems, and cloud platforms across both IT and OT environments

• Hands-on proficiency with industry-standard tools including Burp Suite, Metasploit, Cobalt Strike, Nmap, Nessus, plus custom scripting in Python, PowerShell, and Bash

• Proven experience conducting penetration tests across diverse systems: Windows, Linux, Android, iOS, Web Applications, and Cloud infrastructures

• Familiarity with defence and government environments, including secure handling of classified information

• Exceptional written and verbal communication skills, able to translate complex technical findings into clear, actionable insights

• SC or DV clearance (mandatory for project delivery), with eligibility or current holding

Desirable

• Recognised certifications such as CREST (CPSA, CRT, CCT INF, CCT APP, CCRTS, CCRTM), CHECK Team Member/Leader, OSCP, OSCE3, CEH, or GIAC (GPEN, GWAPT, GRTP, GXPN)

• Exposure to ICS/SCADA, RF systems, or military-grade communication networks

• Strong grasp of Threat Intelligence, MITRE ATT&CK framework, and adversary emulation techniques

• Previous involvement in projects supporting the MOD, defence primes, or critical national infrastructure (CNI)

• Domain expertise across Defence, Nuclear, Government, Aerospace, CNI, and Transport sectors

Step into a role where your expertise makes a national impact - join us today!

UKEO (UK Eyes Only)

Due to the nature of the work that we do at Thales, many of our roles are subject to security restrictions. This role requires you to be a UK National and achieve Security Clearance (SC) without any caveats. It would be advantageous if currently held, however, if not currently held, it is a requirement that the successful applicant undergo, achieve, and maintain SC Clearance prior to commencing employment. If approved by the MOD, a dual national from a non-ITAR country may be considered.

Please Visit The UKSV Website For Further Guidance

https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearance-levels/national-security-vetting-clearance-levels.

To be eligible for full SC, you generally need to have resided in the UK for the last 5 years. In some circumstances, a minimum of 3 years residence in the UK over the last 5 years may be accepted, with additional overseas checks.

In line with Thales' Baseline Security requirements, candidates will be asked to provide evidence of identity, eligibility to work in the UK and employment and/or education history for up to three years. Some vacancies may require full Security Clearance which can require further evidence to be provided. For further details of the evidence required to apply for Baseline and Security Clearance please refer to the Defence Business Services National Security Vetting (DBS NSV) Agency.

At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working.

Thales UK is committed to providing an inclusive and barrier-free recruitment process. We will provide reasonable adjustments and support to ensure neuro-diverse applicants or those with a disability or long-term condition can be their best during the recruitment process. To request an adjustment,if you need this job advert in an alternative format or if you have any questions about the recruitment process, please contact Resourcing Ops for mid to senior roles, or the Early Careers Team for graduate and apprentice roles.

Great journeys start here, apply now!

LNKD1_UKTJ



## Qualifications
* 5+ years of direct engineering management experience, with a proven track record of hiring, mentoring, and retaining high-performing engineers
* You have successfully managed teams that ship production-grade software
* 7+ years of hands-on software engineering experience with deep proficiency in the Python ecosystem (e.g., FastAPI, Pydantic, Pandas)
* You are capable of contributing to code reviews and architectural discussions on day one
* You can translate vague requirements from other teams into concrete engineering specifications and are comfortable prioritizing the roadmap in the absence of a dedicated Product Manager
* Demonstrated experience partnering with Applied Scientists or Researchers: You have the ability to navigate the ambiguity of research workflows and operationalize scientific code
* Functional literacy in AI/ML concepts: You understand the fundamental lifecycle of machine learning (datasets, training vs. inference, evaluation metrics) and can discuss the engineering challenges involved in serving models
* Strong expertise in API Design & Internal Tools: You have architected APIs that other developers rely on, with a focus on versioning, backward compatibility, and developer experience
* Operational excellence background: You have practical experience establishing CI/CD pipelines, containerization (Docker/Kubernetes), and monitoring (Datadog/Prometheus)
* Experience building MLOps & Platform Infrastructure: You have architected or managed teams that built the foundational infrastructure for AI, such as model registries, inference services, or feature stores (using tools like Kubernetes, Ray, or Kubeflow)
* Deep familiarity with AI Evaluation Frameworks: You have used or contributed to modern evaluation tools like DeepEval, Ragas, TruLens, or LangSmith
* You understand how to implement and scale model-based evaluation workflows
* Deep understanding of Generative AI & Agents: You understand the engineering challenges of relying on LLMs and Agents as software components-specifically managing token economics, handling rate limits, and evaluating non-deterministic, multi-step reasoning capabilities
* Builder Experience: You have thrived in startup-like environments or incubated new teams within larger orgs, navigating high ambiguity to define roadmaps where none existed
## Responsibilities
* Join Apple Services Engineering to build the next generation of AI evaluation systems
* You will partner with researchers to operationalize their innovations, transforming complex workflows into intuitive, developer-first platforms
* You will build and lead the engineering team responsible for democratizing AI evaluation across the organization
* Your focus will be on architecting the developer experience-designing the APIs, SDKs, and platform services that turn complex evaluation metrics into simple, self-service calls
* You will work hand-in-hand with researchers to operationalize sophisticated measurement techniques, ensuring they scale reliably within our high-availability infrastructure
* In this role, you will define the engineering standards for a new organization, establishing the code quality, automation, and testing rigor required to support the rapid evolution of Generative AI and Agentic systems
* Team Building & Leadership: Hire, mentor, and grow a diverse, high-performing team of backend and platform engineers
* Foster a culture of technical excellence and rapid delivery as you build this new team from the ground up
* Technical Strategy & Roadmap: Own the engineering roadmap for the core evaluation engine
* Architect the APIs, SDKs, and distributed services that power our internal platform, enabling product teams to measure Generative AI performance autonomously
* Operationalizing Science: Partner closely with Applied Scientists to translate novel metrics, judge prompts, and scoring algorithms into scalable, production-grade services
* Create frameworks to evaluate not just simple responses, but also multi-turn agent trajectories and tool usage
* System Integration: Serve as a technical bridge between the research organization and the broader engineering ecosystem, ensuring our tools integrate seamlessly with existing ML infrastructure and developer workflows
* Engineering Rigor: Establish the software development lifecycle (SDLC) for the team, defining standards for code quality, automated testing (CI/CD), and monitoring to ensure high availability and reliability
* Customer Obsession & Product Thinking: Experience acting as a technical partner to internal customers

## Full Description
Summary

Join Apple Services Engineering to build the next generation of AI evaluation systems. We are seeking a hands-on Engineering Manager to architect high-availability services and internal tools that enable self-service evaluation at scale. You will partner with researchers to operationalize their innovations, transforming complex workflows into intuitive, developer-first platforms. We are looking for a leader who thrives in the ambiguity of new initiatives and is passionate about building scalable infrastructure.

Description

You will build and lead the engineering team responsible for democratizing AI evaluation across the organization. Your focus will be on architecting the developer experience-designing the APIs, SDKs, and platform services that turn complex evaluation metrics into simple, self-service calls. You will work hand-in-hand with researchers to operationalize sophisticated measurement techniques, ensuring they scale reliably within our high-availability infrastructure. In this role, you will define the engineering standards for a new organization, establishing the code quality, automation, and testing rigor required to support the rapid evolution of Generative AI and Agentic systems.

Responsibilities

Team Building & Leadership: Hire, mentor, and grow a diverse, high-performing team of backend and platform engineers. Foster a culture of technical excellence and rapid delivery as you build this new team from the ground up.

• Technical Strategy & Roadmap: Own the engineering roadmap for the core evaluation engine. Architect the APIs, SDKs, and distributed services that power our internal platform, enabling product teams to measure Generative AI performance autonomously.

• Operationalizing Science: Partner closely with Applied Scientists to translate novel metrics, judge prompts, and scoring algorithms into scalable, production-grade services. Create frameworks to evaluate not just simple responses, but also multi-turn agent trajectories and tool usage.

• System Integration: Serve as a technical bridge between the research organization and the broader engineering ecosystem, ensuring our tools integrate seamlessly with existing ML infrastructure and developer workflows.

• Engineering Rigor: Establish the software development lifecycle (SDLC) for the team, defining standards for code quality, automated testing (CI/CD), and monitoring to ensure high availability and reliability.

Minimum Qualifications

5+ years of direct engineering management experience, with a proven track record of hiring, mentoring, and retaining high-performing engineers. You have successfully managed teams that ship production-grade software.

• 7+ years of hands-on software engineering experience with deep proficiency in the Python ecosystem (e.g., FastAPI, Pydantic, Pandas). You are capable of contributing to code reviews and architectural discussions on day one.

• Customer Obsession & Product Thinking: Experience acting as a technical partner to internal customers. You can translate vague requirements from other teams into concrete engineering specifications and are comfortable prioritizing the roadmap in the absence of a dedicated Product Manager.

• Demonstrated experience partnering with Applied Scientists or Researchers: You have the ability to navigate the ambiguity of research workflows and operationalize scientific code.

• Functional literacy in AI/ML concepts: You understand the fundamental lifecycle of machine learning (datasets, training vs. inference, evaluation metrics) and can discuss the engineering challenges involved in serving models.

• Strong expertise in API Design & Internal Tools: You have architected APIs that other developers rely on, with a focus on versioning, backward compatibility, and developer experience.

• Operational excellence background: You have practical experience establishing CI/CD pipelines, containerization (Docker/Kubernetes), and monitoring (Datadog/Prometheus).

Preferred Qualifications

Experience building MLOps & Platform Infrastructure: You have architected or managed teams that built the foundational infrastructure for AI, such as model registries, inference services, or feature stores (using tools like Kubernetes, Ray, or Kubeflow).

• Deep familiarity with AI Evaluation Frameworks: You have used or contributed to modern evaluation tools like DeepEval, Ragas, TruLens, or LangSmith. You understand how to implement and scale model-based evaluation workflows.

• Deep understanding of Generative AI & Agents: You understand the engineering challenges of relying on LLMs and Agents as software components-specifically managing token economics, handling rate limits, and evaluating non-deterministic, multi-step reasoning capabilities.

• Builder Experience: You have thrived in startup-like environments or incubated new teams within larger orgs, navigating high ambiguity to define roadmaps where none existed.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.




## Full Description
Job Description

What is the opportunity?

At RBC’s 2025 Investor Day, we reaffirmed our strategic ambition to become a client-centric, future-ready leader by harnessing data, digital innovation, and AI to deliver unparalleled value. Our commitment to technological excellence—recognized globally as a top-three bank for AI maturity—positions us at the forefront of an AI-informed banking era. With abold goal to generate up to $1 billion in enterprise value from AI by 2027, we are accelerating investments in transformative technologies to redefine industry standards.

To fuel this vision, we are seeking a highly motivated Winter Summer Intern to join our team and contribute to cutting-edge projects in advanced analytics for risk management. This role offers a unique opportunity to apply data science and software engineering skills support the business development of in real-world AI applications, directly impacting risk management workflows through solutions like generative AI, machine learning, and deep learning. As part of our dynamic team, you will collaborate on projects that drive efficiency, automation, and strategic business value—playing a key role in shaping the future of RBC’s AI-driven innovation.

What will you do?

• Participate in the end-to-end development of high-impact AI solutions, from idea design and PoC to production deployment. Participate in the end-to-end development of high-impact AI solutions, from idea design and PoC to production deployment.

• Focus on building real-world applications that address business challenges, rather than conducting pure research.

• Work closely with business users to understand their needs, translate business use cases into practical technical problems, and iterate on solutions based on feedback.

• Design executive presentations, develop strategy and create communications for your project.

• Continuously learn and keep up with the latest advancements in AI and related technologies, sharing knowledge with the team.

• Play an integral role in engaging your critical thinking, time management and leadership skills within your team.

What do you need to succeed?

Must-have

• Demonstrated willingness and ability to quickly learn and adapt to new advancements in Machine Learning/Deep Learning/GenAI.

• Ability to understand and communicate business values.

• Excellent interpersonal and highly developed communication skills (verbal and written).

• Excellent critical thinking, time management and leadership skills.

• Creative and analytical thinker who is self-driven and capable of working in a fast-paced team environment.

• Ability to challenge the status quo and think outside the box to develop solutions.

• Excellent teamwork, collaboration and problem-solving skills.

• Experience with business presentations.

• A master’s degree or higher in business administration, commerce, computer science, engineering, statistics, or a related field is preferred

Nice-to-have

• Experience in stakeholder engagement and working with end users and clients to understand their needs.

• Experience with user research, prototyping, wireframing, and/or experience mapping (creating journey maps, personas, and service blueprints).

• Experience with project management tools (ex. Jira, Confluence)

• Solid understanding of financial business insights, FinTech industry, startup industry or other related insights.

• Interest and understanding of up-and-coming technology and methodologies.

• Knowledge of embedding model fine-tuning, Model Context Protocol (MCP), LLM performance evaluation.

• Experience deploying GenAI applications in production environments and supporting enterprise-scale use cases.

• Hands-on experience implementing solutions using modern ML/DL frameworks and tools, such as PyTorch, JAX, TensorFlow, scikit-learn, or Hugging Face Transformers.

• Experience working in regulated or governed environments.

• Familiarity with financial risk management concepts.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• Leaders who support your development through coaching and managing opportunities

• Ability to make a difference and lasting impact.

• Work in a dynamic, collaborative, progressive, and high-performing team.

• Opportunities to do challenging work and make a difference.

• Opportunities to building close relationships.

Please note: This posting is for a 4-months Summer 2026 Student placement with a start date of May 2026, and end date of August 2026. In order to be eligible for this 4-months Student position, you must either:

• Be returning back to school after the work term end-date of August 2026 ; or

• If you are not returning back to school (i.e. are graduating in August 2026), you must require the full 4-months work term as a mandatory component to in order to graduate successfully.

Please ensure that you meet these eligibility requirements before applying - candidates who apply but are found to be ineligible are not able to be considered.

We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is January 16, 2026. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

RBC is committed to supporting flexible work arrangements when and where available. The successful candidate for this role will be required to be located within Ontario for the duration of the work term. Details regarding the specific virtual, hybrid, and in-office arrangements for this Integrated Learning/ Co-op position are to be discussed with the Hiring Manager.

ET26

Job Skills

Communication, Computer Literacy, Detail-Oriented, Interpersonal Relationships, Listening Effectively, Personal Development, Personal Initiative

Additional Job Details

Address:

ROYAL BANK PLAZA, 200 BAY ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Student/Coop (Fixed Term)

Pay Type:

Salaried

Posted Date:

2025-12-12

Application Deadline:

2026-01-18

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

Join our Talent Community

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.



## Qualifications
* You value pace over perfection - and believe high-velocity iteration beats long-form, over-produced perfection
* You see customer learning as fast, iterative, story-driven content - closer to product marketing and creator craft than traditional corporate instructional design
* You are energized by experimentation and continuous topic + format testing
* You have a natural, engaging on-camera presence and can simplify complex concepts fast
* You collaborate effectively across teams, leveraging diverse perspectives to create impactful learning experiences
* Establish a net-new learning channel and voice for Qualtrics at scale
* 2-4 years producing educational, explainers, product walkthroughs, or tutorial-style video content
* Comfortable as on-camera talent - conversational, credible, and engaging
* Strong narrative + distillation ability
* Demonstrated experience operating AI tools daily to multiply your output - not just experimentation or awareness
* Bias toward fast shipping, iteration, and measurable learner impact
* Access to thoughtfully designed office environments optimized to inspire innovation and teamwork
## Benefits
* Opportunities to build new learning channels and expand your influence across the Experience Management ecosystem
* Competitive compensation combined with professional development and career growth support tailored to your journey
* An inclusive, supportive culture that values diverse perspectives and fosters belonging across all team members
* For full-time positions , this pay range is for base per year; however, base pay offered within this range may vary depending on location, job-related knowledge, education, skills, and experience
* A sign-on bonus and restricted stock units may be included in an employment offer
* Full-time employees are eligible for medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus
* $81,000-$121,000 USD
## Responsibilities
* Scaled learning has become a key growth driver, accelerating time-to-value, advancing maturity, and enabling sustainable customer outcomes
* This role focuses on creating modern, AI-powered learning that rapidly produces content to help customers activate, adopt, and succeed, while also building community and advocacy within the XM ecosystem
* You'll be part of the Community, Learning, and Advocacy team - a cross-functional group shaping how customers learn, grow, and influence XM as a category, all within the Customer Marketing organization
* Influence how Qualtrics operationalizes modern learning across surfaces, not just courses
* Learn how learning, advocacy, and community combine to drive expansion, not just education
* Become a force multiplier for customer maturity and platform success outcomes
* Produce video learning content end-to-end: script, film, narrate, edit, publish
* Use AI-first video editing tools (e.g
* Descript) for accelerated production, auto-captioning, clip generation, and translation
* Convert Labs sessions, SME explainers, office hours, and product demos into story-driven video assets
* Publish weekly (1-2 video assets per week) and continuously shorten production cycle time
* Manage the video library, improve discoverability, and support advocacy storytelling via video
* Experiment relentlessly - titles, formats, hooks, pacing, analytics - and scale what performs

## Full Description
At Qualtrics, we create software the world's best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform-we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention-but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.

When you join one of our teams, you'll be part of a nimble group that's empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won't have to look to find growth opportunities-ready or not, they'll find you. From retail to government to healthcare, we're on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that's work worth doing.

AI Video Learning Producer

Why We Have This Role

At Qualtrics, we're redefining how organizations design, deliver, and continuously improve experiences by combining software with practical skills, patterns, and guidance to put Experience Management into action. Scaled learning has become a key growth driver, accelerating time-to-value, advancing maturity, and enabling sustainable customer outcomes. This role focuses on creating modern, AI-powered learning that rapidly produces content to help customers activate, adopt, and succeed, while also building community and advocacy within the XM ecosystem. You'll be part of the Community, Learning, and Advocacy team - a cross-functional group shaping how customers learn, grow, and influence XM as a category, all within the Customer Marketing organization.

How You'll Find Success

You value pace over perfection - and believe high-velocity iteration beats long-form, over-produced perfection

You see customer learning as fast, iterative, story-driven content - closer to product marketing and creator craft than traditional corporate instructional design

You are energized by experimentation and continuous topic + format testing

You have a natural, engaging on-camera presence and can simplify complex concepts fast

You collaborate effectively across teams, leveraging diverse perspectives to create impactful learning experiences

How You'll Grow

Establish a net-new learning channel and voice for Qualtrics at scale

Influence how Qualtrics operationalizes modern learning across surfaces, not just courses

Learn how learning, advocacy, and community combine to drive expansion, not just education

Become a force multiplier for customer maturity and platform success outcomes

Things You'll Do

Produce video learning content end-to-end: script, film, narrate, edit, publish

Use AI-first video editing tools (e.g. Descript) for accelerated production, auto-captioning, clip generation, and translation

Convert Labs sessions, SME explainers, office hours, and product demos into story-driven video assets

Publish weekly (1-2 video assets per week) and continuously shorten production cycle time

Manage the video library, improve discoverability, and support advocacy storytelling via video

Experiment relentlessly - titles, formats, hooks, pacing, analytics - and scale what performs

What We're Looking For On Your Resume

2-4 years producing educational, explainers, product walkthroughs, or tutorial-style video content

Comfortable as on-camera talent - conversational, credible, and engaging

Strong narrative + distillation ability

Demonstrated experience operating AI tools daily to multiply your output - not just experimentation or awareness

Bias toward fast shipping, iteration, and measurable learner impact

What You Should Know About This Team

We're a nimble, cross-functional group empowered to set bold goals and move quickly to achieve them together.

Collaboration and iteration drive our success - complex challenges are tackled by sharing ideas openly and continuously refining solutions.

We embrace strategic risks and encourage experimentation, knowing that innovation thrives when we push boundaries.

Growth opportunities come naturally; this team values curiosity, learning, and helping each other succeed at every stage.

Our mission centers on bringing humanity, connection, and empathy back to business, creating meaningful impact for customers worldwide.

Our Team's Favorite Perks and Benefits

A hybrid work model that balances purposeful in-office collaboration with flexible remote work for better work-life integration.

Access to thoughtfully designed office environments optimized to inspire innovation and teamwork.

Opportunities to build new learning channels and expand your influence across the Experience Management ecosystem.

Competitive compensation combined with professional development and career growth support tailored to your journey.

An inclusive, supportive culture that values diverse perspectives and fosters belonging across all team members.

The Qualtrics Hybrid Work Model : Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.

Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

???????Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act (https://www.dol.gov/agencies/whd/posters/fmla) , Equal Opportunity Employment (https://www.eeoc.gov/poster) , Employee Polygraph Protection Act (https://www.dol.gov/agencies/whd/posters/employee-polygraph-protection-act)

Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.

Not finding a role that's the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.

For full-time positions , this pay range is for base per year; however, base pay offered within this range may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer. Full-time employees are eligible for medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus. For a detailed look at our benefits, visit Qualtrics US Benefits (https://www.qualtrics.com/careers/us/en/us-benefits) .

Washington State Annual Pay Transparency Range

$81,000-$121,000 USD




## Full Description
AI Engineer (PMC) – Project Management Workflow OptimisationJob PurposeThe AI Engineer will design, develop, and implement AI-driven solutions to optimise project management workflows, enhance operational efficiency, and support strategic decision-making. This role involves leveraging machine learning, automation, and predictive analytics to streamline processes across planning, execution, and monitoring phases of projects.Key ResponsibilitiesWorkflow Automation & OptimisationAnalyse existing project management processes to identify inefficiencies and automation opportunities.Develop AI-powered tools for scheduling, resource allocation, and risk prediction.AI Model DevelopmentDesign, train, and deploy machine learning models for predictive analytics (e.g., cost forecasting, delay risk assessment).Implement Generative AI solutions for document summarisation, reporting, and stakeholder communication.Implement Generative AI solutions for document review.Integration & ImplementationIntegrate AI systems with existing platforms ensuring seamless data flow.Develop APIs and automation scripts for interoperability across project management tools.Data Management & AnalysisCollect, clean, and analyse large datasets from project operations.Build dashboards for real-time insights into project health, KPIs, and resource utilisation.Collaboration & TrainingWork closely with project engineers, planners, and IT teams to align AI solutions with business needs.Conduct workshops and training sessions on AI tools for project teams.Required Skills & QualificationsTechnical ExpertiseStrong programming skills (Python, R, or similar).Experience with AI/ML frameworks (TensorFlow, PyTorch) and LLMs (GPT, LangChain).Knowledge of MLOps tools (MLflow, Docker) for model lifecycle management.Domain KnowledgeUnderstanding of project management principles and EPC workflows.Familiarity with Oil & Gas industry standards and compliance requirements.Soft SkillsExcellent problem-solving and analytical skills.Strong communication and stakeholder management abilities.Experience RequirementsMinimum 3–5 years in AI engineering or data science roles, preferably in industrial or project environments.Proven track record of deploying AI solutions that improved operational efficiency.Desirable CompetenciesStrong understanding of project management methodologies (e.g., Agile, PMI, EPC workflows).Experience in AI-driven project scheduling and resource optimisation.Ability to design risk prediction models for cost overruns and delays.Familiarity with workflow automation tools and integration with project management platforms (MS Project, Primavera, SAP PM).Knowledge of data-driven decision-making and KPI dashboards for project performance monitoringExperience with cloud platforms (AWS, Azure) for scalable AI deployment.

#J-18808-Ljbffr



## Qualifications
* What we're looking for* Education : Bachelor's degree or higher (or currently enrolled)
* Analytical and Problem-Solving Skills : Ability to develop complex, professional-level prompts and evaluate nuanced AI reasoning
* Strong Writing : Clear, concise, and engaging writing to explain decisions or critique responses
* Attention to Detail : Commitment to accuracy and ability to assess technical aspects of model outputs
* Experience in fields like literature, creative writing, history, philosophy, theology, etc
* Prior writing or editorial experience (content strategist, technical writer, editor, etc.)
* Interest or background in AI, machine learning, or creative tech tools
## Benefits
* Earn up to $15 USD/hr and additional rewards based on quality of submission
* Compensation and benefits
* Earn up to $15 USD/hr, paid out weekly
* Rates vary based on quality, accuracy, and time spent
* Paid via PayPal & AirTM
* Free access to
* Flexible schedule and
* time commitment
* (Most experts spend 5-10 hours/week, up to 40 hours working from home
* Certain projects offer incentive payments
## Responsibilities
* We are looking for someone who speaks fluent English to contribute their expertise toward training and refining cutting-edge AI systems.* Adopt a "user mindset" to produce natural data to meet the realistic needs you have or would use AI for
* Use the tool of rubrics to address user needs in a structured way
* Evaluate AI outputs by reviewing and ranking reasoning and problem-solving responses from large language models
* Contribute across projects depending on your specific skillset and experience
* Interact, experiment and engage with leading large language models free of cost
* Disclaimer: For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply

## Full Description
Join a global community of talented professionals to shape the future of AI. Earn up to $15 USD/hr and additional rewards based on quality of submission.All potential candidates should read through the following details of this job with care before making an application.Outlier is committed to improving the intelligence & safety of AI models. Owned and operated by Scale AI , we've recently been featured in Forbes for partnering experts with top AI labs to provide the high quality data for LLMs. We believe AI can only perform as well as the data it's trained on. That's why we work with contributors from all over the world , who help improve AI models by providing expert human feedback . This data has led to AI advancements for the world's leading AI labs and large language model builders. We've built a best-in-class remote work platform for our freelance contributors to provide valuable, specialized skills, and we in turn strive to provide them with a positive experience based on our core pillars of reliability, transparency, and flexibility.

What you will be doing

We are looking for someone who speaks fluent English to contribute their expertise toward training and refining cutting-edge AI systems.* Adopt a "user mindset" to produce natural data to meet the realistic needs you have or would use AI for.

• Use the tool of rubrics to address user needs in a structured way.

• Evaluate AI outputs by reviewing and ranking reasoning and problem-solving responses from large language models.

• Contribute across projects depending on your specific skillset and experience.What we're looking for* Education : Bachelor's degree or higher (or currently enrolled).

• Analytical and Problem-Solving Skills : Ability to develop complex, professional-level prompts and evaluate nuanced AI reasoning.

• Strong Writing : Clear, concise, and engaging writing to explain decisions or critique responses.

• Attention to Detail : Commitment to accuracy and ability to assess technical aspects of model outputs. Nice to Haves:

• Experience in fields like literature, creative writing, history, philosophy, theology, etc.

• Prior writing or editorial experience (content strategist, technical writer, editor, etc.).

• Interest or background in AI, machine learning, or creative tech tools.Compensation and benefits

Earn up to $15 USD/hr, paid out weekly

Rates vary based on quality, accuracy, and time spent. Paid via PayPal & AirTM

Free access to

Model Playground

Interact, experiment and engage with leading large language models free of cost

Flexible schedule and

time commitment

No contracts, no 9-to-5. You control your schedule. (Most experts spend 5-10 hours/week, up to 40 hours working from home

Join a global community of

Coding experts

Join a global network of experts contributing to advanced AI tools

Disclaimer: For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

Equal Opportunity Employer: Outlier is committed to fostering a diverse and inclusive work environment. We welcome applicants from all backgrounds and celebrate diversity in our workforce. xawqmyg

Remote working/work at home options are available for this role.



## Qualifications
* Bachelor's degree in Computer Science, Engineering or other related technical field or an equivalent combination of education and experience
* 0 to 3 years of experience supporting a variety of technologies and functions
* Understanding of distributed systems architecture and general knowledge of multiple technical disciplines
* Understanding of software development life cycle and various components that make up the software pipeline
* Scripting skills
* Understanding of a variety of network and security protocols
* Knowledge of a variety of technologies and protocols
* Ability to quickly shift between technology stacks
* Verbal and written communication skills for technical and non-technical audiences
## Responsibilities
* Supports activities related to ensuring the overall health and modernization of organization-wide Information Technology system
* Provides support to internal lines of business across the technology infrastructure including analysis, development, modification, installation, testing, and maintenance of hardware, software, networking, and security for a variety of systems
* Troubleshoots issues, makes recommendations, and responds to and solves incidents and customer requests based on standard operating procedures and runbooks
* Ensure system compliance with network and firewall security standards
* Support the integration of machine learning models and AI algorithms into existing IT systems and applications
* Monitor, troubleshoot, and resolve incidents relating to production AI applications
* Stay current with emerging AI technologies, frameworks, and best practices to continuously improve IT operations
* Each team member is expected to be aware of risk within their functional area
* This includes observing all policies, procedures, laws, regulations and risk limits specific to their role
* Additionally, they should raise and report known or suspected violations to the appropriate Company authority in a timely fashion
* Performs other related duties as required
* The information on this description has been designed to indicate the general nature and level of work performed by employees within this classification

## Full Description
Job Summary:

Supports activities related to ensuring the overall health and modernization of organization-wide Information Technology system. Provides support to internal lines of business across the technology infrastructure including analysis, development, modification, installation, testing, and maintenance of hardware, software, networking, and security for a variety of systems. Troubleshootsissues, makes recommendations, and responds to and solves incidents and customer requests based on standard operating procedures and runbooks.

Job Duties and Responsibilities:

• Ensure system compliance with network and firewall security standards.

• Support the integration of machine learning models and AI algorithms into existing IT systems and applications.

• Monitor, troubleshoot, and resolve incidents relating to production AI applications.

• Stay current with emerging AI technologies, frameworks, and best practices to continuously improve IT operations.

• Each team member is expected to be aware of risk within their functional area. This includes observing all policies, procedures, laws, regulations and risk limits specific to their role. Additionally, they should raise and report known or suspected violations to the appropriate Company authority in a timely fashion.

• Performs other related duties as required.

The information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

Synovus is an Equal Opportunity Employer committed to fostering an inclusive work environment.

Minimum Education:

• Bachelor's degree in Computer Science, Engineering or other related technical field or an equivalent combination of education and experience.

Minimum Experience

• 0 to 3 years of experience supporting a variety of technologies and functions.

Required Knowledge, Skills, & Abilities:

• Understanding of distributed systems architecture and general knowledge of multiple technical disciplines

• Understanding of software development life cycle and various components that make up the software pipeline

• Scripting skills

• Understanding of Windows server and Linux distros (RedHat preferred)

• Understanding of a variety of network and security protocols

• Knowledge of a variety of technologies and protocols

• Ability to quickly shift between technology stacks

• Verbal and written communication skills for technical and non-technical audiences

Preferred Knowledge, Skills, & Abilities:

• Familiarity with retrieval augmented generation (RAG) techniques.

• Understanding of cloud hosting architecture and proper server management.

• Knowledge of enterprise cloud security, firewall, and network concepts.

• Ability to adapt to evolving regulatory requirements and emerging financial crime trends.



## Qualifications
* As needed by the specific problem, you design, evaluate, and maintain ontologies
* Minimum of 2 years of experience in designing and developing knowledge graph solutions and graph-based machine learning models, functional and technical experience required
* Minimum of 1 end-to-end data pipeline implementation for AI applications, particularly those involving LLMs or similar models, including hands-on design and configuration
* Minimum of 2 year and strong knowledge of relational databases, object stores, graph databases (e.g. Stardog, Neo4J, Amazon Neptune), and vector databases
* Minimum of 2 years of experience in Knowledge Graph technologies (e.g. RDF, SPARQL, LPG, SHACL)
* Minimum of 5 years of hands-on experience with cloud platforms (AWS, Azure, GCP)
* Minimum of 5 years of experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)
* Minimum of 2 years of practical experience with NLP techniques, prompt engineering, and LLMs for enterprise-scale applications
* Minimum of 2 years of experience with schema design, ontology management, and Knowledge Graph curation
* You have team lead experience
* Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones
* You have external client-facing consulting experience
* Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field
* Broad experience in diverse ML techniques and agentic systems
* Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States
## Benefits
* Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience
* As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below
* Role Location Annual Salary Range
* California $73,800 to $220,400
* Cleveland $68,300 to $176,300
* Colorado $73,800 to $190,400
* Maryland $73,800 to $190,400
* Massachusetts $73,800 to $202,700
* Minnesota $73,800 to $190,400
* New York/New Jersey $68,300 to $220,400
## Responsibilities
* As a Knowledge Engineer, you formulate real-world problems into practical, efficient, and scalable AI and Knowledge Graph problems
* You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems
* You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios)
* As a significant part of this role, you will be justifying the value of innovative generative AI and knowledge graph approaches in the business problems, and you'll be expected to construct methodologies and data architectures that clearly demonstrate their value
* You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals
* Build Knowledge Graph solutions that transform clients’ data architecture
* Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly
* Work with the project team, team leaders, project delivery leads, and client stakeholders to create stand-out Data & AI offerings powered by graph-based technologies
* Develop strong relationships with clients and gain the trust of key advisors
* Make the business case for the semantic layer solution recommended to the client
* Pitch in on Accenture sales efforts when needed
* Continue to learn and develop cutting edge Data & AI solutions, especially agentic technologies, provide through leadership on technology trends, new opportunities and innovations, or foreseeable limitations, risks, and concerns
* Travel may be required for this role
* The amount of travel will vary from 0% to 100% depending on business need and client requirements

## Full Description
We Are:

Accenture is helping companies use generative AI and semantic layer to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Advanced Data & AI team brings together ourExperienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are:

As a Knowledge Engineer, you formulate real-world problems into practical, efficient, and scalable AI and Knowledge Graph problems.

• You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems.

• You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios).

• As needed by the specific problem, you design, evaluate, and maintain ontologies.

• As a significant part of this role, you will be justifying the value of innovative generative AI and knowledge graph approaches in the business problems, and you'll be expected to construct methodologies and data architectures that clearly demonstrate their value.

• You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.

The Work:

• Build Knowledge Graph solutions that transform clients’ data architecture.

• Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly

• Work with the project team, team leaders, project delivery leads, and client stakeholders to create stand-out Data & AI offerings powered by graph-based technologies

• Develop strong relationships with clients and gain the trust of key advisors

• Make the business case for the semantic layer solution recommended to the client

• Pitch in on Accenture sales efforts when needed

• Continue to learn and develop cutting edge Data & AI solutions, especially agentic technologies, provide through leadership on technology trends, new opportunities and innovations, or foreseeable limitations, risks, and concerns.

Travel may be required for this role. The amount of travel will vary from 0% to 100% depending on business need and client requirements.

Here's what you need

• Minimum of 2 years of experience in designing and developing knowledge graph solutions and graph-based machine learning models, functional and technical experience required.

• Minimum of 1 end-to-end data pipeline implementation for AI applications, particularly those involving LLMs or similar models, including hands-on design and configuration

• Minimum of 2 year and strong knowledge of relational databases, object stores, graph databases (e.g. Stardog, Neo4J, Amazon Neptune), and vector databases

• Minimum of 2 years of experience in Knowledge Graph technologies (e.g. RDF, SPARQL, LPG, SHACL)

• Minimum of 5 years of hands-on experience with cloud platforms (AWS, Azure, GCP)

• Minimum of 5 years of experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)

• Minimum of 2 years of practical experience with NLP techniques, prompt engineering, and LLMs for enterprise-scale applications.

• Minimum of 2 years of experience with schema design, ontology management, and Knowledge Graph curation.

Bonus Points If:

• You have team lead experience

• Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones.

• You have external client-facing consulting experience

• Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

• Broad experience in diverse ML techniques and agentic systems.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here.

Role Location Annual Salary Range

California $73,800 to $220,400

Cleveland $68,300 to $176,300

Colorado $73,800 to $190,400

District of Columbia $78,500 to $202,700

Illinois $68,300 to $190,400

Maryland $73,800 to $190,400

Massachusetts $73,800 to $202,700

Minnesota $73,800 to $190,400

New York/New Jersey $68,300 to $220,400

Washington $78,500 to $202,700

Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.



Head of Product AI-Driven Vision & UX Leadership (Boston) Job at Simply Business

Qualifications

Responsibilities

Full Description