## Responsibilities

- Design and deliver AI solutions leveraging LLMs, AI Agents, RAG, and Computer Vision technologies
- Develop innovative document intelligence solutions, including enterprise knowledge management and workflow automation
- Partner with customers to understand business requirements, conduct demonstrations, and provide technical guidance
- Create solution architectures, implementation plans, and technical proposals
- Collaborate with regional teams to localize and deploy AI solutions for diverse business environments
- Produce high-quality technical documentation, solution designs, and deployment guides
- Contribute to reusable AI frameworks, best practices, and delivery standards to enhance project efficiency

## The Successful Applicant

A successful Senior AI Solutions Engineer should have:

- Over 4 years of experience in AI, Machine Learning, Data Science, Software Engineering, or related technology domains
- Hands-on experience with Large Language Models (LLMs), Generative AI, AI Agents, RAG, or Computer Vision solutions
- Proficiency in programming languages such as Python and experience working with AI/ML frameworks and cloud-based AI services
- Strong problem-solving skills with the ability to translate business requirements into practical AI solutions
- Experience in solution design, proof-of-concepts (POCs), technical implementation, or customer-facing technology projects
- Excellent communication and presentation skills, with the confidence to engage both technical and non-technical stakeholders
- Proficiency in Mandarin (Mandatory)
- Ability to work independently while collaborating effectively with cross-functional and regional teams
- A passion for emerging technologies and a continuous learning mindset in the rapidly evolving AI landscape

## What's on Offer

- Regional exposure and cross-border collaboration
- Monthly salary of MYR 120,000 to MYR 180,000
- Hands-on experience with cutting-edge AI technologies, including Generative AI, LLMs, AI Agents, RAG, and Computer Vision solutions
- Opportunity to shape the future of AI adoption
- High visibility and business impact, working closely with customers, technical experts, and leadership teams on strategic initiatives
- Permanent career opportunity

Ready to shape the future with AI? Apply today and be part of the journey.

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

## Team Description

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

## What You’ll Do

- Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
- Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
- Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
- Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
- Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
- Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems
- Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency
- Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards
- Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity

## The Ideal Candidate

- You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good
- Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production
- You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven
- You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss
- You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown

This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location.

## Basic Qualifications

- Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
- At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java

## Preferred Qualifications

- Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy
- 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
- Experience designing, developing, delivering, and supporting complex AI systems
- Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang
- Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
- Experience in building agentic AI systems and agentic workflows
- Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
- Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
- Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines
- Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes
- Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression
- Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

## Compensation and Benefits

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

- Cambridge, MA: $229,900 - $262,400 for AI Engineer 5
- McLean, VA: $229,900 - $262,400 for AI Engineer 5
- New York, NY: $250,800 - $286,200 for AI Engineer 5
- San Francisco, CA: $250,800 - $286,200 for AI Engineer 5
- San Jose, CA: $250,800 - $286,200 for AI Engineer 5

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

## Application and Hiring Information

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

The application window is expected to close on: 12/20/2026.
NOTE: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

This role is an onsite position located in San Jose, CA. Though the team may offer hybrid days, the selected finalist will be expected to work onsite.

## Meet the Team

Cisco Silicon One™ is Cisco’s revolutionary silicon architecture powering the next generation of web-scale, cloud, service provider, enterprise, and AI networking infrastructure. The Silicon One Software team develops the comprehensive SDK software stack that enables our high-performance silicon products across global networks.

We are seeking a Software Engineer to help our team design, build, and operate practical AI tools that improve how people find information, automate tasks, and integrate AI into their daily workflows.

## Your Impact

- Design and build AI-powered document query and knowledge-retrieval systems.
- Develop user-facing Model Context Protocol (MCP) servers and agentic tools.
- Automate engineering workflows and integrate AI capabilities.
- Create specialized AI models and developer utilities for networking domains, including switch telemetry analysis, network simulation environments, and P4 language development tooling.

## Minimum Qualifications

- Bachelor's degree in Computer Science, Electrical Engineering, or related technical field with 4+ years of software development experience; OR Master's degree with 3+ years of software development experience.
- Experience working with one or more of the following: cloud platforms, containerization (Docker/Kubernetes), CI/CD pipelines, and source-control workflows.
- Experience building or integrating AI tool-calling architectures and protocols, such as Model Context Protocol (MCP) servers/clients or custom agent interfaces.

## Preferred Qualifications

- Experience with agent frameworks and LLM tool-calling architectures.
- Hands on experience with vector databases and semantic search / RAG pipelines.
- Familiarity with OpenAI/Anthropic model APIs, open-source model inference platforms (e.g., vLLM, Ollama), model request routing, or LLM fine-tuning techniques.
- Domain knowledge in networking technologies, switch telemetry analysis, network simulation environments, or P4 programming.

## Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

## Message to applicants applying to work in the U.S. and/or Canada

The starting salary range posted for this position is $167,700.00 to $245,200.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:

- 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
- 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
- Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
- Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
- 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
- Additional paid time away may be requested to deal with critical or emergency issues for family members
- Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:

- .75% of incentive target for each 1% of revenue attainment up to 50% of quota;
- 1.5% of incentive target for each 1% of attainment between 50% and 75%;
- 1% of incentive target for each 1% of attainment between 75% and 100%; and
- Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

New York City Metro Area: $167,700.00 - $282,000.00

Non-Metro New York state & Washington state: $149,100.00 - $250,900.00

- For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.
- * Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

This is a hands on leadership role focused on embedding secure software development practices across engineering teams while driving the adoption of modern Application Security and AI powered security capabilities.

## Client Details

Leading organisation in Abu Dhabi.

## Responsibilities

- Lead and mature the Application Security program across software engineering teams.
- Own and manage SAST platforms, policies, and processes.
- Drive secure code practices throughout the SDLC.
- Manage source repository security, ensuring strong security controls across code repositories and development pipelines.
- Oversee vulnerability management activities.
- Establish application security standards, frameworks, and governance across development teams.
- Partner closely with engineering leaders to build security capabilities and embed security-by-design principles.
- Introduce AI assisted application security capabilities to improve vulnerability detection, code review, and remediation efficiency.
- Drive adoption of security tooling, metrics, and reporting to improve software security posture.
- Provide subject matter expertise on secure architecture, secure development practices, and application security controls.

## Candidate Profile

- 7+ years' experience in Software Engineering, including 3+ years in a dedicated Application Security role.
- Hands on experience with SAST, dependency scanning, vulnerability management, and secure SDLC practices.
- Strong experience securing source code repositories and CI/CD pipelines.
- Proficiency in at least two of these languages: Python, Java, Go, or TypeScript.
- Experience with cloud native application security, container security, and DevSecOps practices.
- Experience evaluating and implementing AI driven security tooling and managing risks associated with AI generated code and coding assistants.

## Job Offer

- Opportunity to lead and shape a modern Application Security function within a growing organisation.
- Exposure to cutting edge AI security initiatives and secure software engineering practices.

## Skills

Application Security

Descartes Unites the People and Technology that Move the World

The need for efficient, secure, and agile supply chains and logistics operations has become ever more critical and complex. By combining innovative technology, powerful trade intelligence and the reach of our network, Descartes helps get goods, information, transportation assets, and people where they’re needed, when they’re needed.

We’re one of the most broadly deployed logistics and supply chain technology companies in the world. More than 26,000 customers around the globe use our cloud-based solutions to transform the way they move inventory and information to enhance productivity, better serve customers, thrive competitively, keep pace with evolving regulations, and respond to rapidly changing market conditions. Descartes is publicly traded (Nasdaq:DSGX, TSX:DSG) with headquarters in Waterloo, Ontario, Canada, and offices and partners around the world. With record financial performance for more than 16 years, we lead the industry in innovation investment. Every day, logistics service providers, manufacturers, retailers, distributors, and other logistics-intensive businesses of all sizes rely on our scale, stability, and comprehensive solution footprint to move what’s most important to them. Learn more at www.descartes.com.

We’re growing fast and invite you to join our amazing team.

Enterprise IT | AI Enablement
Location: Remote – Canada (Waterloo, Ontario preferred)

As part of Descartes’ Enterprise IT AI Enablement team, you will ensure our enterprise AI platforms are secure, reliable, scalable, and cost-effective. Working with global IT teams, vendors, and business stakeholders, you will administer, support, integrate, and automate AI technologies while driving operational excellence and enabling effective AI adoption across the organization.

## Outcomes — What Success Looks Like

- AI Platform Administration: Configure, maintain, monitor, and troubleshoot enterprise AI platforms, including Microsoft AI, OpenAI, Anthropic, and other approved solutions. Manage tenant settings, workspaces, policies, integrations, and platform controls.
- Security & Governance: Manage identity, access, and provisioning while ensuring compliance with security, privacy, AI governance, audit, and change management requirements.
- Cost & Capacity Management: Monitor and optimize AI licensing, consumption, capacity, costs, and overage risks.
- Operational Support: Resolve incidents and service requests involving access, configurations, integrations, agents, capacity, and platform functionality.
- Platform Lifecycle Management: Evaluate and manage new features, releases, security updates, service changes, and deprecations.
- Automation & Integration: Use scripting, APIs, and automation technologies to streamline administration, improve integrations, and reduce manual effort.
- Documentation & Global Support: Maintain accurate configurations, inventories, data flows, runbooks, and support procedures. Collaborate with regional administrators to ensure reliable coverage, standardized practices, and continuous improvement.
- AI Enablement: Identify and implement AI solutions that improve productivity, service quality, automation, and operational efficiency across Enterprise IT and the business.

## Experience & Technical Skills

- 2–3 years of relevant IT systems administration or enterprise technology experience.
- Practical experience with at least one enterprise AI ecosystem (Microsoft Copilot/Azure AI, OpenAI, or Anthropic).
- Experience administering Microsoft Azure, AWS, SaaS, or similar enterprise platforms.
- Working knowledge of identity and access management, security, governance, and compliance.
- Experience with scripting, APIs, automation, or systems integration.
- Knowledge of IT service management, technical support, and troubleshooting.
- Strong technical documentation, problem-solving, and organizational skills.
- University degree, college diploma, or relevant IT certifications preferred; additional certifications are an asset.

## Professional Competencies

- Strong communicator and collaborative team player.
- Customer-focused, detail-oriented, and committed to operational quality.
- Able to prioritize effectively in a fast-paced, changing environment.
- Quick to learn and support emerging AI platforms and technologies.
- Proactive in improving security, automation, governance, and service delivery.

## Culture Add: TEAM Values

We value team members who communicate with transparency, sharing information openly and building trust across functions. You bring excellence and expertise to your craft, holding a high bar for quality while continuously improving your skills. You demonstrate accountability by owning outcomes, following through on commitments, and taking responsibility for results. You are driven by metrics, using data and experimentation to inform decisions and deliver measurable impact.

## Aptitudes

- Smart: Able to quickly understand complex systems, connect ideas, and make sound judgments.
- Curious: Actively seeks to understand customer problems, emerging technologies, and better ways of working.
- Coachable: Open to feedback, willing to adapt, and continuously improving through learning.

## What’s in It for You

- Meaningful Impact: Help shape the secure and scalable adoption of AI across a global organization.
- Professional Growth: Build expertise in leading AI platforms, cloud technologies, automation, and AI governance.
- Global Collaboration: Work with cross-regional IT teams, vendors, and business stakeholders.
- Ownership & Autonomy: Take responsibility for critical AI services and drive operational improvements.
- Flexible Environment: Enjoy a remote opportunity in Canada within a collaborative, fast-evolving technology team.

Join Descartes and help enable the next generation of secure, intelligent enterprise technology.

## Compensation

The salary range for this position is $80,000–$90,000 CAD. Compensation information provided is a good-faith estimate for this position only. Factors that may be used to determine actual salary include the candidate’s specific skills and years of experience. Similar positions located in different geographic regions will not necessarily receive the same compensation or currency.

## Join Us

As we scale, we’re looking for new doers, collaborators and innovators to join Descartes in uniting the people and technology that move the world as the Global Leader in Logistics and Supply Chain Technology. We’re entrepreneurial, hardworking, geeky-in-a-good way problem solvers. Guided by our values, we nurture a TEAM focused culture that invests in people and creates opportunities for advancement across a broad spectrum of career paths. We prioritize work-life balance and foster an environment with the space to take ownership, to be heard, and to carve a path for your individual accomplishments to help drive our success. At Descartes, everyone has a voice and the best idea wins, regardless of who makes it. We offer competitive compensation, great benefits, remote and flexible work hours, and the opportunity to join a company on an awesome mission with a great existing team and trajectory.

Descartes also has a deep sense of environmental responsibility. Learn more about how we helped our customers save over 552,000 metric tons of CO2 in 2020 by reducing fuel and paper consumption: https://www.descartes.com/who-we-are/social-responsibility-sustainability/environmental-impact. Join a team that’s committed to working with customers to conserve resources and enhance sustainability.

If you feel you have 70% of the qualifications we are looking for, and Descartes sounds like the team and the mission you want to be part of, apply now. We can’t promise it will be a fit, but we do promise to consider your experience.

We conduct a mix of in-person and virtual interviews. Virtual interviews are held via Microsoft Teams and are recorded and transcribed. We may utilize AI tools to support our hiring team in notetaking, summarization, and internal training. AI tools are not used in our recruitment process for decision-making purposes. Recordings, transcripts, and notes are used for recruitment, including improvement of our process, and record-keeping purposes. Should you have any questions or concerns about our process, please connect with our hiring team in advance of scheduled interviews.

We are an Equal Employment employer. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected status, or any other characteristic protected by federal, provincial, or local law. For more information about our commitment to equal employment opportunity, please review our Code of Business Conduct and Ethics at Descartes.com. Descartes is committed to working with and providing reasonable accommodations to job applicants with disabilities. Applicants in North America with a disability who require a reasonable accommodation for any part of the application or hiring process can email us at hrna@descartes.com. Provide your name and contact information along with the accommodation needed to assist you with the application process. Your request will be responded to as soon as possible. Reasonable accommodations will be determined on a case-by-case basis.

Today, every organization needs to be digital, powered by data, operating in a multi-cloud world and ready to adapt to whatever comes next. Our Consulting team assesses customers' strategic, organizational and business challenges, applying deep industry expertise to deliver technical solutions that enable business transformation, operational excellence and measurable outcomes.

Join us to do the best work of your career and make a profound social impact as a Senior Consultant on our Professional Services team in Saudi Arabia.

## What You'll Achieve

As a Senior Consultant, Program Manager within AI Infrastructure Services, you will lead the delivery of large-scale AI and Data Center transformation programs for some of Dell Technologies' most strategic customers globally. You will help customers optimize Data Center design, accelerate AI infrastructure deployments and realize business value through complex multi-site implementation programs.

Working across Dell Technologies' products, services and partner ecosystem, you will be accountable for the successful delivery of our most complex programs. You will define program governance, establish delivery frameworks, manage interdependencies across multiple workstreams and ensure alignment to customer objectives and business outcomes.

You will provide leadership and oversight throughout the program lifecycle, driving effective decision-making, managing risks and ensuring stakeholder alignment.

The successful candidate will be comfortable engaging with executive leadership and C Suite stakeholders, using a data-driven approach to provide transparency, influence outcomes and drive successful program delivery.

This role will lead and manage the Program Office on behalf of Dell Technologies for some of our largest global customers.

## Responsibilities

- Establish and lead program governance and delivery assurance practices to ensure high-quality project execution and customer outcomes.
- Manage large, complex portfolios of projects and programs, ensuring delivery on time, within budget and in line with customer expectations.
- Develop and manage RAID logs, change control processes, escalation management and executive reporting.
- Act as the primary point of contact for executive and management communications across assigned programs.
- Lead cross-functional, globally distributed teams spanning Dell Technologies, customer organizations and third-party partners.
- Build trusted advisor relationships with customer stakeholders and executive sponsors.
- Drive alignment across technical, operational and business teams to ensure successful implementation and realization of business value.
- Provide coaching, mentoring and leadership to project and program teams.

## Essential Requirements

- Extensive experience leading large-scale programs and complex project delivery organizations with Program Management certifications (PMP, PgMP, PRINCE2, MSP or equivalent).
- Proven track record delivering complex Data Center infrastructure and IT services programs across multiple customers, sites, geographies and workstreams.
- Extensive hands on Data Center infrastructure experience, including knowledge of power and cooling systems, racks and physical infrastructure, cabling and connectivity, compute, storage and networking environments, and Data Center operational readiness and deployment activities Proven experience supporting the design, build, deployment, commissioning or expansion of enterprise, colocation, hyperscale or AI focused Data Centers.
- Strong understanding of AI infrastructure deployment and Data Center modernization initiatives.
- Demonstrated success operating within complex matrix organizations and leading globally distributed teams.
- Extensive experience presenting complex technical, operational and program delivery updates to C Suite and senior executive stakeholders.
- Strong commercial awareness and ability to manage delivery risks, stakeholder expectations and business outcomes.
- Self motivated, hands on and capable of operating effectively under pressure while managing competing priorities.
- Exceptional communication, influencing and stakeholder management skills across technical, operational and executive audiences.
- Proven ability to operate independently while leading high performing, cross functional teams.
- Experience working within global organizations and multinational customer environments.
- Willingness and ability to travel extensively across EMEA during customer deployment and commissioning phases. The successful candidate should be comfortable spending extended periods on customer sites supporting Data Center implementation, operational readiness and infrastructure build activities.

## Desirable Requirements

Proficiency in English and at least one additional European language is an advantage.

## Who We Are

We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play.

Join us to build a future that works for everyone because Progress Takes All of Us.

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy. Visit our Culture Code page to learn more about how we work and lead.

At Cactus Club Cafe, we love what we do, and we love the people we do it with. As one of the most innovative restaurant concepts in Canada, we are continuously celebrated as one of the country’s best places to work. We firmly believe in creating a workplace where everyone feels welcome, supported and valued. Today, these restaurants are a national brand, and are experiencing the fastest growth in its history.

Continuously innovating and implementing new technology, our IT Team maintains and supports all technologies including audio visual, hospitality and head office based systems while partnering with Operations to rollout, implement and update programs to ensure efficiencies.

## Candidate Profile

- An Automation Builder: You have 3+ years of building automations people rely on, with tools like n8n, Make, Zapier or Power Automate.
- Hands-On with AI and APIs: You've built with the Anthropic, OpenAI or Google APIs, you're comfortable with webhooks and some Python or JavaScript, and you use tools like Claude Code or Codex. Snowflake or Sigma experience is a plus.
- Business-Minded: You enjoy working with non-technical teams, learning how their work gets done and explaining the options in plain language.
- Practical and Self-Directed: You can take a loose request, find the simplest fix that works and see it through.

## Responsibilities

- Finding Opportunities: Working with departments to find work worth automating and scoping the fix.
- Building Automations and AI Tools: Building workflows, integrations and lightweight AI tools across systems like HR, finance, point of sale and the IT help desk.
- Prototyping and Shipping: Testing ideas quickly, then taking the ones that work to production through our platform review.
- Applying AI to Our Data: Working with the BI team to put AI to use on our data in Snowflake and Sigma.
- Helping Teams Use AI: Showing departments where AI can help, and supporting the trained staff who build tools for their own teams.
- Building Responsibly: Designing with privacy, security and access in mind, and documenting what you build so others can support it.

## Compensation and Benefits

- Give you the ultimate Cactus discount — 50% off food + drinks, hungry yet?
- Focus on your training and development, we’re believers in lifelong learning
- Foster a fun culture that makes coming to work genuinely enjoyable
- Provide compensation between $100,000 - $125,000. The compensation package for this role takes various factors into consideration including market rates, experience, and qualifications
- Offer a competitive benefits package and wellness spending account

Continuously on the grow, Cactus Club Cafe is one of the most successful concepts in Canada and our expansion will continue. We are always looking for talented and inspiring individuals to join our team. Applications are accepted from all individuals. Accommodations are available on request for candidates taking part in every aspect of the selection process.

Please note that due to the high volume of applicants, we will only reach out if you are selected to move forward in the interview process.

## Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Keysight is seeking a Senior Product Manager to define and drive the vision, strategy, and roadmap for the Keysight AI Data Center Network Validation Solution, which helps customers validate and benchmark the networks that connect AI clusters. The ideal candidate combines a strong networking background with an understanding of the AI Data Center market and technologies, and the ability to turn market trends, customer insights, and cross-functional collaboration into high-impact products.

## Responsibilities

- Own the product strategy, roadmap, and lifecycle of the validation solution for AI Data Center Scale-X networks, and keep them aligned with business objectives and market needs.
- Gather and prioritize requirements from hyperscalers, network equipment manufacturers, NIC/silicon vendors, and AI cluster operators, and turn them into PRDs, user stories, and acceptance criteria; manage the backlog and make trade-off decisions with R&D across hardware and software releases.
- Partner with R&D, Software Engineering, and Quality on technical feasibility, release scope, and high-quality, on-time delivery, resolving technical questions and removing roadblocks throughout development.
- Track and influence emerging AI networking standards and industry benchmarks, including Ultra Ethernet Consortium, Ethernet Alliance, OCP, IEEE 802.3, and MLPerf, and analyze market trends and competitor offerings to shape the roadmap, product positioning, and differentiation.
- Develop the business case, pricing, and go-to-market plan for new products and features, working with Marketing, Sales, and cross-functional teams.
- Lead product launches and enable sales and pre-sales teams through technical messaging, demos, training, and competitive positioning.
- Define success metrics, track product performance and customer adoption, and use data and customer feedback to drive continuous improvement.

## Qualifications

- Bachelor’s or Master’s degree in Computer Science, Electrical or Software Engineering, or a related field (or equivalent experience).
- 7+ years of relevant experience in networking, including product management or product ownership exposure.
- Solid networking background: Ethernet switching, IP routing, and high-speed Ethernet.
- Working knowledge of data center infrastructure, leaf-spine topologies, SmartNICs, and network operating systems.
- Understanding of the AI data center market and Scale-X networking technologies such as RDMA, RoCEv2, and Ultra Ethernet.
- Exposure to product strategy, roadmaps, and market analysis.
- Strong analytical, problem-solving, and decision-making skills, with the ability to balance technical depth and business priorities.
- Excellent written, verbal, and presentation skills, including the ability to synthesize complex technical and market data for both technical and executive audiences.
- Self-driven, curious, and motivated to continuously learn emerging high-speed Ethernet and AI networking technologies.

## Preferred Qualifications

- MBA or equivalent.
- Some understanding of AI workloads (training, inference, collective communication) and performance benchmarking metrics.
- Experience in the network test industry and a working understanding of the test and measurement market, including how network test and validation tools are used.
- Strong public speaking and writing skills; contributions to industry standards and forums.

## Careers Privacy Statement

Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

## Compensation and Benefits

Pay is based on experience, education and skills, most offers will be between the minimum and the midpoint of the Salary Range listed below.

California pay range: MIN $193,840 - MAX $323,070

Note: For other locations, pay ranges will vary by region

This role is eligible for Keysight Results Bonus Program

US Employees may be eligible for the following benefits:

- Medical, dental and vision
- Health Savings Account
- Health Care and Dependent Care Flexible Spending Accounts
- Life, Accident, Disability insurance
- Business Travel Accident and Business Travel Health
- 401(k) Plan
- Flexible Time Off, Paid Holidays
- Paid Family Leave
- Discounts, Perks
- Tuition Reimbursement
- Adoption Assistance
- ESPP (Employee Stock Purchase Plan)

At TELUS Digital, we believe that when AI enters the healthcare space, accuracy is a matter of life and death. As a Clinical & Medical AI Expert, you are the guardian of medical truth. You will join an elite circle of healthcare professionals within our AI Community tasked with training Large Language Models (LLMs) on complex diagnostics, pharmacology, and patient care logic. Your role is to ensure that AI does not just "predict" text, but reasons through clinical data with the precision of a board-certified professional.

## What You’ll Do (Key Responsibilities)

- Clinical Reasoning Validation: Audit AI "Chain-of-Thought" reasoning for medical diagnostics to ensure adherence to international clinical protocols (e.g., ICD-11, DSM-5).
- Pharmacological Fact-Grounding: Rigorously verify AI-generated drug interactions, dosage recommendations, and contraindications against peer-reviewed medical literature.
- Specialized Bio-Medical Annotation: Precisely label complex datasets—including MRI/CT scans, pathology reports, and genomic data—to improve model visual-spatial reasoning.
- Risk & Hallucination Mitigation: Identify and neutralize "medical hallucinations" that could lead to patient harm, creating high-fidelity safety guardrails for clinical environments.

## Mandatory Qualifications

- Education: Minimum of a Bachelor’s Degree in Medicine (MD/MBBS), Pharmacy (PharmD), Nursing, or Biomedical Sciences.
- Native Language: Native-level proficiency (C2+) in your primary language is mandatory to interpret regional medical terminology and localized patient nuances.
- English Proficiency: Minimum B1 (Intermediate) level English for technical research and reporting.

## Assessment

In order to be hired into our community, you’ll go through a subject-specific qualification exam that will determine your suitability for the position and complete ID verification.

## Payment

Currently, pay rates for experts range from $20 - $50 USD per hour

Our Payment terms are defined for each project.

## TELUS Digital AI Community

Our global AI Community is a vibrant network of more than one million contributors from diverse backgrounds who help customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and contribute to the development of innovative AI technologies used by some of the world's largest brands.

## Independent Contractor Relationship

This opportunity is offered on an independent contractor basis. Contributors have the flexibility to choose when and how much they work, subject to project availability and quality requirements. This opportunity is not and should not be construed as creating an employment relationship with TELUS Digital.

An exciting Data scientist opportunity with a global consulting company!

## Your new company

A leading global consulting company focused on delivering business and technology solutions across diverse industries.

## Your new role

- Lead AI & Data Science delivery - Manage teams and end-to-end delivery of AI and data science projects, from strategy and solution design through implementation.
- Drive business impact through AI - Identify opportunities and apply machine learning, deep learning and NLP to solve complex business challenges and deliver measurable outcomes.
- Lead client & stakeholder engagement - Partner with clients and cross-functional teams, translating complex technical insights into clear recommendations while providing thought leadership and guidance.

## What you'll need to succeed

- 5+ years' experience in Data Science / Machine Learning & AI, with strong knowledge of ML models and Deep Learning.
- Strong technical foundation with team leadership experience, able to guide technical teams while balancing technical understanding with people/project leadership.
- Proven end-to-end project delivery & stakeholder management experience, with the ability to manage projects from requirements through delivery.

## Good-to-have

- Consulting experience, particularly within a client-facing environment.
- Cloud development / cloud application experience.

## What you'll get in return

- Competitive salary and benefits package
- Flexible & inclusive working culture
- Career growth & continuous learning

## What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

Senior Engineer, AI Computer Vision