## Qualifications

- 5+ years of relevant experience with a Bachelor’s degree in Computer Science, Data Science, or a related technical field

- Strong Python skills and experience building data analysis tools, automated analysis workflows, or data pipelines

- Experience analyzing data from fielded physical products such as aerospace systems, automotive systems, robotics platforms, commercial electronics, IoT devices, industrial equipment, or similarly complex real-world systems

## Benefits

- $150,000 - $220,000 a year

- Full-time regular employee offer package:

- Pay within range listed + Bonus + Benefits + Equity

## Responsibilities

- The V-BAT system produces rich data from real-world flight tests, fielded aircraft, production activity, and simulation runs

- You will own the analysis pipelines, tooling, standards, and metrics that help the team understand fleet-wide system performance derived from information from software and hardware systems

- You will facilitate deep studies into flight-critical sensor performance, navigation, communications, and other key aircraft behaviors

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more informa

## Qualifications

- Education: BS/MS in Computer Science, Engineering, or a related technical field

- Experience: 5+ years of experience in software development, with a strong background in backend systems or platform engineering

- Technical Skills: Proficiency in at least one core programming language (e.g., Python, Go, Java, or C++)

## Benefits

- 【For Pay Transparency】Compensation Description (Annually)

- The base salary range for this position in the selected city is $177688 - $341734 annually

- Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location

## Responsibilities

- Design & Develop AI-Driven Tools: Architect and implement 0-1 internal products, including automated SQL generation, conversational RAG systems, and intelligent on-call diagnosis bots

- Operational Efficiency: Analyze Meego workflows to identify manual friction points and build targeted self-service tooling that empowers non-technical stakeholders to manage data tasks independently

- Release Governance: Integrate Meego into the feature releasing pipeline to ensure data-informed decision-making and minimize operational risks during global deployments

## Responsibilities

## About the Team

The TikTok U.S. Data Security (USDS) team is responsible for the security, integrity, and compliance of TikTok’s data within the United States. The Data Platform Team builds a scalable, reliable, cost-efficient infrastructure that ensures data integrity and empowers every business unit to win through self-service tools and scientific insights.

We are seeking a Seni

## Overview

Diligent's Commercial AI Transformation function builds AI agents that automate real workflows across our commercial organization, from sales and customer success to internal operations. We've already proven the model with a handful of production agents (including tools that generate executive briefs, estimate costs, and calculate customer value). This role exists to grow that portfolio, working alongside a teammate who also designs and builds agents.

You'll bring two things the team needs more of: a track record of automating real business processes at volume, and genuine software engineering discipline (version control, testing, release practices) that the team can build on as it scales. At the same time, you need the agility to move fast on a proof of concept without forcing full engineering process onto something that's still proving itself out. Knowing when to apply which is part of the job.

You'll also step into a real enterprise integration environment on day one, pulling from source systems, processing through a data warehouse, feeding an enterprise search/AI index, and operating inside access control and governance boundaries that are already in place. Comfort with that kind of environment matters as much as agent-building skill itself.

## Key Responsibilities

## Process Automation & Agent Building

- Map business processes independently when needed, and design, build, and deploy AI agents and agent chains that automate them

- Refine agents through iteration: tightening prompts, handling edge cases, improving reliability based on real usage

- Move quickly through early-stage PoCs, then apply appropriate engineering rigor once an agent is heading toward production

## Pipeline & Integration Work

- Build and maintain data pipelines that pull from source systems (e.g., Microsoft Graph API, Teams, Snowflake) into a data warehouse, applying appropriate filtering, summarization, and sensitivity handling before anything is indexed or surfaced

- Work within an iPaaS/integration platform (e.g., Workato) to build and maintain recipes and API endpoints that connect systems together, including logging and monitoring for those integrations

- Understand how enterprise search/AI indexing tools (e.g., Glean) consume processed data, including index scoping, access restrictions by group, and how retrieval respects underlying permissions

## Security & Governance Awareness

- Apply access control patterns correctly: privileged access boundaries, IP whitelisting, OAuth-based endpoint protection, and group-based restrictions on what data or tools a user can reach

- Understand how identity and access (e.g., Okta/SSO) and logging/SIEM tooling (e.g., Panther) fit around the systems you're building, enough to build in a way that doesn't create gaps

- Work with sensitivity tagging and data minimization principles when pulling raw data (e.g., removing what isn't needed, redacting or filtering employee-specific content) before it moves further into the pipeline

## Engineering Excellence

- Introduce and drive adoption of solid software engineering practices across the team's agent-building work: version control, code review discipline, testing, and release/deployment practices

- Set a practical bar for what "production-grade" means for an agent, distinct from what's acceptable in a fast-moving PoC, and help the team recognize which stage something is in

- Own agents from prototype through production-grade deployment, including error handling, monitoring, and failure-mode recovery

- Extend and reuse existing shared infrastructure rather than duplicating capability; apply an "extend, don't rebuild" discipline

## Commercial Fluency & Collaboration

- Understand enough about how sales, customer success, and commercial operations actually work to design agents that reflect reality, not a theoretical process

- Partner closely with the teammate who also designs and builds agents, sharing the design and build workload flexibly

- Bring engineering best practices to the team without slowing down the team's pace on early-stage work

## Success in This Role Looks Like

- A growing, reliable portfolio of agents in production, each automating a real, meaningful volume of work

- The team's agent-building work has real version control, testing, and release discipline behind it, not just working prototypes

- PoCs still move at PoC speed. Rigor shows up where it matters (production) not everywhere

- Commercial stakeholders trust that agents reflect how their work actually happens

- Pipelines and agents respect existing access control and governance boundaries without needing to be told twice

## Required Qualifications

- Bachelor's degree in Computer Science, AI/ML, or a related field

- 4+ years building software, including demonstrated experience automating business processes at meaningful scale (not one-off scripts)

- Strong software development lifecycle (SDLC) fundamentals: version control (Git), code review practices, testing, and release/deployment discipline

- Hands-on experience building integrations or data pipelines using an iPaaS/automation platform (e.g., Workato, Boomi, Mulesoft, or similar)

- Experience working with a cloud data warehouse (e.g., Snowflake) for data ingestion, transformation, or processing

- Recent hands-on experience designing, building, and deploying LLM-based agents or agentic workflows into production

- Working understanding of enterprise identity and access concepts (SSO, OAuth, group-based permissions) and how they constrain what a pipeline or agent can access

- Demonstrated judgment about when to move fast and informal (PoC stage) versus when to apply full engineering rigor (production stage)

- Genuine interest in and some exposure to how a commercial org (sales, CS, or ops) functions

## Preferred Qualifications

- Experience with enterprise search or knowledge platforms (e.g., Glean) and how they scope and surface indexed content

- Familiarity with Microsoft 365 ecosystem tooling relevant to data governance (e.g., Purview, Defender, Graph API)

- Experience working with SIEM or logging platforms (e.g., Panther, Splunk) from an integration or engineering standpoint

- Experience in a presales, customer success, or commercial operations environment

- Familiarity with Salesforce or similar commercial data systems

- Experience mentoring or upskilling less traditionally-trained engineers on SDLC best practices

- Test-Driven Development experience

## About Us

Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.

At Diligent, we're building the future with people who think boldly and move fast. Whether you're designing systems that leverage large language models or part of a team reimaging workflows with AI, you'll help us unlock entirely new ways of working and thinking. Curiosity is in our DNA, we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity. The future belongs to those who keep learning, and we are building it together. At Diligent, you're not just building the future - you're an agent of positive change, joining a global community on a mission to make an impact.

Learn more at diligent.com or follow us on LinkedIn and Facebook

What Diligent Offers You

- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients

- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few

- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.

- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.

Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.

Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.

We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.

At Diligent, we recognize the value of a diverse global workforce. Visa sponsorship may be available for select positions based on business needs and specific role requirements. Sponsorship decisions are evaluated on a case-by-case basis, and eligibility should not be assumed for all opportunities.

To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.

## About Us

Paytm is India's payment Super App offering consumers and merchants the most comprehensive payment services. As the pioneer of the mobile QR payments revolution in India, today Paytm stands as India’s largest payment company by Users, Merchants, Payment Transactions, and Revenue. Paytm’s mission is to drive financial inclusion across the nation and bring half a billion Indians into the mainstream economy through technology-led financial services.

Paytm enables commerce for small merchants and distributes various financial services offerings to its consumers and merchants in partnership with financial institutions. Paytm has been a trailblazer in the merchant space by introducing innovative solutions like QR codes to accept payments and the Sound-box to reconcile payments via voice alerts. Furthermore, we are actively distributing loans to these partners via our 'Paytm for Business' application.

## Role Overview

We are looking for a high-performing Hunter Account Director to drive net-new enterprise business for Pi Commerce. This is a pure hunting role focused entirely on acquiring large enterprise logos, owning complex end-to-end sales cycles, and driving meaningful revenue growth.

Operating at the intersection of AI, SaaS, and customer engagement, you will be responsible for positioning a highly differentiated platform directly to CXOs and executive leadership teams across a diverse range of industries.

## Key Responsibilities

- Own the end-to-end enterprise sales cycle — from initial prospecting and discovery to commercial negotiation and closure.

- Drive new logo acquisition aggressively across large enterprises (BFSI, Retail, Telecom, Healthcare, etc.).

- Build and manage a robust, qualified sales pipeline through outbound hunting, professional networking, and strategic account mapping.

- Lead CXO-level conversations, masterfully articulating business value propositions around AI-led customer engagement.

- Conduct deep, consultative discovery to thoroughly understand client challenges across engagement, retention, and communication systems.

- Collaborate closely with internal Pre-Sales, Product, and Solutions teams to architect tailored technical solutions and custom demos.

- Lead RFP/RFQ responses, comprehensive proposal development, and high-value contract/commercial negotiations.

- Position Pi Commerce strategically as a large-scale business transformation platform, distinct from transactional messaging or simple campaign tools.

- Maintain absolute CRM discipline, ensuring highly accurate revenue forecasting and clear pipeline hygiene.

- Represent Paytm at major industry events, critical client summits, and high-profile strategic forums.

## What We're Looking For

- 5–8 years of elite track record in Enterprise SaaS / CPaaS / MarTech / AI platform enterprise sales.

- Proven success in closing large, complex enterprise deals characterized by multi- stakeholder structures and extended sales cycles.

- A fierce, dedicated hunter mindset with clear evidence of high performance in new business and net-new logo acquisition.

- Extensive experience engaging, pitching to, and building long-term trust with CXOs, business heads, and digital/marketing leaders.

- An ability to sell consultatively, naturally translating deep operational business problems into elegant, technology-led solutions.

- Strong commercial acumen equipped with expert-level proficiency in deal structuring, risk management, and commercial negotiations.

- Thrived and demonstrated high comfort levels working in fast-paced, fluid, and high-growth organizational environments.

## Why Join This Role

- Strategic Impact: Be a key pillar of a high-growth, strategic priority business unit embedded within Paytm.

- Cutting-Edge Product: Sell a highly differentiated, category-defining AI-led enterprise engagement platform.

- Scale & Transformation: Gain the opportunity to lead and impact large-scale transformations across India's largest corporate enterprises.

- High Visibility: Enjoy a high-impact, visible executive track role with a direct line of sight to overall revenue and national market expansion.

## Qualifications

- 10+ years of experience in enterprise data architecture, data strategy, analytics, AI/ML, and digital transformation

- 8+ years of experience with large-scale cloud-enabled Financial Services-Insurance industry AI and data projects

- 4+ years of experience leading, managing, and delivering complex technology engagements

## Benefits

- The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs

- A reasonable estimate of the current range is $171,600 to $338,300

- You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance

## Responsibilities

- You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses

- As an Associate Vice President, AI and Data Solutions on the AI & Data team, you will be responsible for:

- Lead AI & Data engagements for our Financial Services - Insurance industry clients

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growt

Principal AI Scientist

Location: Remote (UK-based)

Salary: £80,000 - £100,000 + Benefits

Location Requirement: UK applicants only

Sponsorship: Unfortunately, visa sponsorship is not available for this position.

Principal AI Scientist -

Are you an experienced AI Scientist looking to lead cutting-edge research and develop next-generation AI solutions -

We're partnering with an innovative organisation that is transforming how AI is applied within psychometrics and human assessment. This is a rare opportunity to take ownership of the AI research roadmap, influence technical strategy, and build intelligent systems that have real-world impact.

Working remotely within the UK, you'll collaborate with cross-functional teams to design, develop and deploy advanced AI models, with a particular focus on Large Language Models (LLMs), AI agents and machine learning technologies.

## The Role

As Principal AI Scientist, you will be the technical authority for AI research and innovation. You'll define the research direction, lead experimentation, and translate cutting-edge research into production-ready solutions.

This is a hands-on leadership role where you'll balance strategic thinking with practical implementation.

## Responsibilities

- Define and own the AI research and development roadmap.

- Lead the design, development and evaluation of advanced AI and machine learning solutions.

- Build and optimise Large Language Model (LLM) applications and autonomous AI agent frameworks.

- Develop robust evaluation methodologies to ensure AI systems are accurate, reliable and measurable.

- Work closely with product, engineering and research teams to translate complex ideas into scalable products.

- Stay at the forefront of emerging AI research and identify opportunities to incorporate new techniques.

- Mentor senior technical colleagues and help establish AI best practices across the organisation.

## What We're Looking For

We're looking for someone with significant commercial experience in AI research and technical leadership.

Essential Skills

- Extensive experience developing Machine Learning and AI solutions.

- Strong hands-on experience with Large Language Models (LLMs) and AI Agent frameworks.

- Proven experience leading technical research initiatives and defining AI strategy.

- Experience taking AI solutions from research through to production.

- Excellent Python programming skills.

- Strong understanding of modern ML frameworks such as PyTorch or TensorFlow.

- Experience evaluating AI model performance and designing robust experimentation methodologies.

Psychometric Experience

You'll either have direct experience in psychometrics or possess the analytical foundation to become an expert quickly.

## Experience in one or more of the following would be highly desirable

- Psychometrics

- Mathematical or inferential statistics

- Research methodology

- Measurement theory

- Survey research

- Questionnaire design

- Survey data analysis (for example, market research)

- Validity and reliability evaluation

We'd Love to See

- PhD or Master's in Artificial Intelligence, Machine Learning, Computer Science, Statistics, Psychology or a related discipline.

- Experience publishing research or contributing to innovative AI projects.

- Experience working within research-led environments.

- Excellent communication and stakeholder management skills.

What's On Offer

- Salary of £80,000 - £100,000

- Fully remote working within the UK

- Opportunity to shape the AI strategy of a growing organisation

- Work on genuinely innovative AI products

- High level of autonomy and technical ownership

- Collaborative, research-focused culture

- Excellent opportunities for professional growth and career progression

If you're passionate about advancing AI research, enjoy solving complex scientific problems, and want to lead the development of innovative AI solutions with real-world impact, we'd love to hear from you.

Please note: Applicants must already have the right to work in the UK. Unfortunately, visa sponsorship is not available for this position.

JBRP1_UKTJ

About Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

## The Role

We're looking for Computer Science Specialists to join our Expert Network to help train and evaluate cutting-edge AI models. If you have a background in CS research or technical analysis, we'll send you a quick 10- to 15-minute test to assess your skills. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to help AI understand and summarize complex scientific data.

Researchers looking for your skills tend to pay up to $60/hr, depending on skills and experience level. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring

- Educational Background: at minimum, a BSc (Bachelor of Science) in Computer Science or a closely related technical field.

- Technical Literacy: ability to interpret research papers, understand complex algorithms, and review code logic.

- Analytical Mindset: high level of cognitive competency with a sharp eye for technical hallucinations or logical flaws.

- Professional Verification: a valid LinkedIn profile to verify your degree and background during the screening process.

- A PayPal account to receive payment from our clients

What you'll be doing in the role

- AI Evaluation & Ranking: comparing multiple AI-generated responses to technical prompts and ranking them based on accuracy, logic, and safety.

- Scientific Review: reviewing CS research papers alongside AI-generated summaries and graphical abstracts to ensure scientific integrity.

- Fact-Checking: identifying inaccuracies where the AI has misinterpreted technical data, formulas, or research findings.

- RLHF (Reinforcement Learning from Human Feedback): providing the human "ground truth" to help models align with professional standards in software engineering and data science.

- Code & Logic Verification: auditing AI-generated code snippets or architectural diagrams for structural and functional correctness.

## Key Technologies

- Generative AI & LLMs: training the next generation of technical and reasoning models.

- Technical Documentation: working with research papers, code repositories, and data visualizations.

- Verification Frameworks: using structured evaluation rubrics to audit AI performance.

Why Prolific is a great platform to join as a Participant

Joining our Expert Network will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

What is the opportunity -

We're looking for an experienced Senior Principal AI Engineer who will bring strategic leadership and deep subject-matter expertise in designing and implementing enterprise-scale AI/ML infrastructure, automation tools (MLOps and DevOps), and cloud-native AI solutions. This is a unique opportunity to lead and shape the future of machine learning infrastructure and work with a team of passionate individuals committed to bringing ML to the enterprise.

What will you do -

- Leading the design, architecture, and optimization of machine learning deployment tools and automation systems that operate the business's data and ML applications

- Defining and implementing best practices and standards for data and machine learning pipelines across the organization

- Collaborating with engineers and machine learning researchers to automate code analysis, build, integration, and deployment of ML applications

- Providing technical guidance on infrastructure design decisions and monitoring solutions

- Building highly scalable, resilient cloud and on-premise systems for hosting machine learning systems using state-of-the-art technologies, including Google Cloud Platform (GCP) and Vertex AI

- Mentoring junior engineers and contributing to team growth and technical excellence

What do you need to succeed -

## Must have

- Extensive experience designing and implementing distributed ML systems at scale

- Hands-on experience with GCP services, particularly Vertex AI for model training, deployment, and monitoring

- Experience building and integrating Generative AI solutions, including LLMs, RAG architectures, and AI harnesses/orchestration frameworks (e.g., LangChain, LlamaIndex)

- Proficiency with MLOps orchestration tools such as AirFlow, KubeFlow, Dagster, or Flyte

- Experience with DevOps pipelines (Jenkins, GitHub Actions)

- Strong programming skills in Python; familiarity with Bash or JavaScript a plus

- Hands-on experience deploying hybrid environments across GCP, AWS, and/or Azure

- Familiarity with ML frameworks such as PyTorch or TensorFlow

- Knowledge of software engineering best practices including testing, code reviews, and source control

## About the AI Group

RBC's AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC's people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations. The Business Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery — ensuring RBC remains at the frontier of AI-enabled value creation.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

#LI-POST

#TECHPJ

Job Skills Big Data Management, Data Modeling, Data Science, Decision Making, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages, Relationship Building

Additional Job Details

## Address

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

## City

Toronto

## Country

Canada

## Work hours/week

37.5

## Employment Type

Full time

## Platform

## TECHNOLOGY AND OPERATIONS

## Job Type

Regular

## Pay Type

Salaried

## Posted Date

2026-07-08

## Application Deadline

2026-07-31

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

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

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.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Heads up: this posting is for future opportunities rather than one specific open role. If you apply, we'll add you to our candidate network and may reach out when relevant roles come up.

Axial Search is a specialist executive search firm built for one kind of hire: leaders who help organizations navigate AI transformation. Apply today to express your interest in roles like this one.

Visit our website to learn more about our process and explore free tools for your job search, including our live job market dashboard with salary, skills and hiring trend data from thousands of AI transformation roles.

## What the Market Looks Like

We've tracked 53 senior-level AI/ML engineering postings across Canada in the last six months, with the strongest concentration in Ontario, British Columbia, and Quebec. Technology, financial services, and IT services firms are the primary hirers. Median compensation for this cohort lands around $220,000, with top-of-range offers reaching $430,000 for candidates who bring track records of shipping ML systems at scale, leading technical teams through complex transformations, and translating business strategy into engineering roadmaps. The best candidates in this market combine deep hands-on ML expertise with the leadership maturity to operate at the executive table and navigate organizational change.

## Job Responsibilities

Own the AI/ML engineering strategy and roadmap, translating business objectives into technical priorities and ensuring delivery of production systems that drive measurable business impact Lead and scale a team of ML engineers, data scientists, and infrastructure specialists—hiring, developing talent, unblocking technical challenges, and fostering a culture of rigor and delivery Partner with executive leadership to define AI capabilities that align with company strategy, including feasibility assessments, resourcing plans, and business case development Drive architecture decisions and technical standards for ML systems, including model governance, data pipelines, MLOps infrastructure, and deployment frameworks Build and maintain cross-functional relationships with product, data, and platform teams to ensure AI initiatives integrate cleanly with broader engineering and business operations Establish metrics for ML system performance, reliability, and business value; own reporting and iteration cycles to continuously improve outcomes Advocate for engineering excellence and best practices—code quality, testing, documentation, and knowledge sharing—across all AI/ML work

## Candidate Requirements

10+ years of experience in ML engineering, data science, or AI-focused roles, with at least 5 years in a leadership position managing technical teams or owning ML systems end-to-end Demonstrated success shipping ML models and systems to production at scale—not research or prototypes, but real-world systems that delivered business value Deep technical fluency in machine learning fundamentals, model development, training infrastructure, and deployment pipelines; comfortable speaking the language of ML engineers and challenging their work Experience leading and building teams; track record of hiring, mentoring, and retaining strong technical talent in competitive markets Comfort translating between engineering and business contexts—able to articulate technical constraints and trade-offs to non-technical stakeholders and vice versa Track record operating in hybrid or fully remote settings, or openness to hybrid work in the Vancouver area

This is a hybrid role that combines remote work with regular client engagement. The successful candidate must be fluent in both French and English and be comfortable traveling to client locations as business needs require.

At Avanade, we help organizations transform how work gets done through Microsoft technologies, AI, and modern workplace solutions.

As a AI Adoption & Transformation Consultant, you will guide enterprise clients through the people side of AI transformation. Working at the intersection of business strategy, organizational change management, employee experience, and Microsoft Copilot adoption, you will help clients identify high-value use cases, accelerate workforce readiness, drive behavioral change, and realize measurable business outcomes from AI investments.

You will work directly with executives, business leaders, and technology stakeholders to shape transformation strategies, facilitate AI adoption programs, and build scalable approaches that help organizations embrace new ways of working.

## What You'll Do

Drive AI Transformation Strategy

- Partner with executive and business stakeholders to identify, prioritize, and evaluate AI and Copilot opportunities.

- Develop adoption roadmaps aligned to business objectives and workforce transformation goals.

- Help clients establish AI governance, readiness, and value realization strategies.

- Translate emerging AI capabilities into practical business outcomes.

Lead Adoption & Change Programs

- Assess organizational readiness, stakeholder needs, change impacts, and adoption barriers.

- Design and execute enterprise-wide adoption strategies for Microsoft Copilot and AI-enabled solutions.

- Develop communications, engagement, training, and reinforcement plans to drive sustained behavioral change.

- Facilitate executive workshops, stakeholder alignment sessions, and transformation planning activities.

Enable Business Value Realization

- Define adoption metrics, success criteria, and value measurement frameworks.

- Monitor adoption progress and recommend improvements based on user feedback and usage insights.

- Help clients connect AI adoption efforts to productivity, employee experience, and business performance outcomes.

- Create executive-ready narratives that communicate progress, impact, and opportunities for continued growth.

Build Scalable Adoption Programs

- Design champion networks, enablement programs, and change acceleration initiatives.

- Develop repeatable playbooks, toolkits, training assets, and governance approaches.

- Support organizations as they scale AI adoption across business units, geographies, and workforce populations.

## Qualification

## Required Qualifications

- 5+ years of experience in enterprise consulting, digital transformation, or business change enablement.

- Bilingual (French/English)

- Prosci Certified Change Practitioner or equivalent.

- Proven Microsoft Copilot knowledge credentials or equivalent.

- Experience leading use case identification and business case development for emerging technologies.

- Demonstrated experience guiding Microsoft 365 or Copilot programs with large enterprise customers.

- Strong understanding of AI and productivity transformation, organizational readiness, and skilling strategies.

- Experience with adoption and change management frameworks (Prosci, or equivalent).

- Proven ability to work cross-functionally with business, IT, and executive stakeholders.

- Excellent communication, facilitation, and stakeholder engagement skills.

- Experience with internal communications, skilling, or change enablement programs in large organizations.

- Experience working with adoption and success teams to accelerate impact and remove blockers.

Preferred experience

- Experience enabling champions communities at 1k+ scale.

- Prior short-format consulting (Big-4/boutique).

- Deep enablement for finance/legal/customer service personas.

- Multi-geo/multilingual rollouts.

- creation of learning assets and Power BI adoption views.

Compensation at Avanade 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, Avanade provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as set forth below.

The recruiting efforts for this position are intended to fill a brand new position.

The base pay range shown below is intended as a guideline to reflect the majority of offers for this role.

It does not represent a maximum limit — in some cases, actual compensation may exceed the range where appropriate.

See more information on our benefits here: Canada Employee Benefits | Avanade

Role Location Annual Salary Range

British Columbia/Ontario $96,800 to $114,950

## About the Role

What if your years of software engineering experience could directly shape how AI writes code for millions of developers

- We're looking for Software Engineers in Toronto to evaluate, rank, and refine AI-generated code — helping the next generation of coding assistants produce solutions that are correct, efficient, idiomatic, and production-ready.

Toronto is home to one of the world's most vibrant tech communities, and your engineering expertise is exactly what's needed to make AI coding assistants truly world-class. This isn't about writing boilerplate — it's about applying expert judgment to push the boundaries of what AI can do with code.

This is a fully remote, flexible contract role built for experienced developers who want meaningful, high-impact work on their own schedule.

- Organization: Alignerr

- Type: Hourly Contract

- Location: Remote

- Commitment: 10–40 hours/week

## What You'll Do

- Review and rank AI-generated code solutions across multiple programming languages and problem domains

- Evaluate code for correctness, efficiency, readability, maintainability, and adherence to best practices

- Identify bugs, anti-patterns, security issues, and performance bottlenecks in AI-generated outputs

- Write detailed, structured feedback explaining why one solution is better than another

- Refine and improve AI-generated code to meet production-level engineering standards

- Provide preference rankings that help AI models learn what "good code" actually looks like

- Work independently and asynchronously — fully on your own schedule

## Who You Are

- Software engineer with 3+ years of professional development experience

- Proficient in one or more major programming languages (e.g., Python, JavaScript/TypeScript, Java, C++, Go, Rust)

- Strong grasp of data structures, algorithms, and computational complexity

- Deep understanding of software design principles, clean code practices, and engineering trade-offs

- Experienced with code review — you know how to assess quality and articulate why something works or doesn't

- Clear, concise written communicator who can explain technical decisions effectively

- Self-motivated and reliable when working independently without supervision

## Nice to Have

- Experience across multiple languages, frameworks, or tech stacks

- Background in systems design, distributed systems, or backend architecture

- Familiarity with AI/ML concepts or experience using AI coding tools (Copilot, ChatGPT, etc.)

- Prior experience with code evaluation, technical mentoring, or open-source contribution

- Knowledge of security best practices and performance optimization

- Experience in competitive programming or technical interviewing

## Why Join Us

- Work on cutting-edge AI projects alongside leading research labs

- Directly influence how AI coding assistants learn to write better software

- Fully remote and flexible — work when and where it suits you

- Freelance autonomy with the structure of meaningful, task-based work

- Leverage your hard-earned engineering expertise in a new, high-impact way

- Potential for ongoing work and contract extension as new projects launch

- Join a global community of top-tier engineers shaping the future of AI-assisted development

Staff Engineer, Data Analysis (R5290)

Qualifications

Benefits

Responsibilities

Zero to AI Engineer