Senior Level Associate Technical Lead Jobs
Senior level associate technical lead jobs place seasoned engineers in roles where they own technical direction, drive cross-functional project outcomes, and develop the engineers around them. Roles are concentrated across Technology & Software, Consulting & Professional Services, and Electronics & Hardware, with a mix of on-site, hybrid, and remote settings, and employers like Stantec, VHB, and Gemini hiring at this level now.
Find JobsOverview
Showing 4 of 104+ Senior Level Associate Technical Lead jobs
INTRODUCTION
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
ABOUT THE JOB
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. Within HPE’s Office of the CTO and HPE Labs, the AI Enablement team builds on HPE’s established AI research, engineering, and market expertise to accelerate the transition of innovation into production by turning promising ideas into dependable, governed, reusable capabilities that HPE’s business units and customers can adopt and build on.
We sit at the seam between invention and impact. We don’t just prototype; we make AI real, repeatable, and trusted at enterprise scale. The team combines HPE’s deep technical expertise with a collaborative, high-standards, and intellectually honest culture focused on solving hard problems. If you want to shape how a world-class technology company operationalizes AI, this is the team.
ROLE OVERVIEW
We’re hiring a technical lead for the AI Enablement team. As a tech lead, you’ll independently drive high-impact “lighthouse” AI use cases from concept through production: owning the technical direction, partnering across functions and business units to deliver value, and establishing scalable architectures, patterns, and standards that make each subsequent use case faster and more effective.
This is a hands-on senior role for someone who's technically excellent and genuinely good with people: equally comfortable in an architecture deep-dive, a stakeholder negotiation, and a mentoring conversation. You'll have unusual scope to shape both the work and the team from day one.
Key Responsibilities
- Lead lighthouse use cases end-to-end. Independently own selected high-impact AI use cases from problem framing and solution design through production deployment and the transition to operational ownership, bringing LLM, agentic, and applied AI approaches to bear where they fit.
- Build for production and measurable impact. Design the architecture of AI systems for scalability, performance, reliability, security, and supportability. Establish evaluation, guardrails, monitoring, documentation, and performance metrics that enable trusted adoption in real workflows and continuously improve the systems based on operational feedback.
- Create reusable patterns. Turn each delivery into reference architectures, tooling, and repeatable patterns that lower the cost of the next use case, so the team scales through leverage, not headcount.
- Partner across the organization. Work closely with stakeholders across business units, product, engineering, data, security, and HPE Labs to translate customer requirements, business needs, and industry trends into AI products, solutions, and systems improvements. Provide technical guidance, communicate tradeoffs and impact to technical and executive stakeholders, secure sponsorship and operational ownership, and drive adoption through credibility and influence.
- Provide technical leadership and mentorship. Serve as a recognized technical authority for significant AI initiatives, guide architecture and design reviews across projects, promote consistency and engineering best practices, and coach less-experienced engineers through code review, design review, pairing, and example. Contribute to knowledge sharing across the organization and help cultivate a collaborative, high-standards team culture.
- Help shape how we work. Contribute to the team's intake, prioritization, governance, and delivery practices as we build them, bringing judgment about what's worth doing and how to do it well.
BASIC QUALIFICATIONS
- Typically, 10+ years of relevant experience in applied AI/ML engineering, or software engineering, including hands-on delivery of AI/ML systems into production.
- Demonstrated ability to take an AI/ML solution from concept to production independently, not just modeling, but the full lifecycle: data pipelines, deployment, evaluation, and operationalization.
- Demonstrated experience shipping an LLM or agentic system that real users depend on, with ownership of its evaluation, reliability, and operation after launch.
- Experience building and scaling enterprise agentic AI solutions across complex, production-grade environments.
- Strong, current depth across AI and machine learning, including supervised and unsupervised learning, deep learning, natural language processing, large language models, generative AI, agentic systems, and statistical modeling, with practical experience in LLMOps or MLOps, evaluation, and production model lifecycle management.
- Solid systems and software engineering fundamentals; comfort with cloud-native and/or hybrid deployment environments.
- Working knowledge of responsible-AI and governance practices: evaluation, guardrails, security-by-design, data privacy, and how to build them in rather than bolt them on.
- Bachelor's, Master’s or PhD in computer science, computer engineering, data science, or related field, or equivalent practical experience.
PREFERRED QUALIFICATIONS
- Proven ability to lead technical work and influence across teams without formal authority: earning adoption by being useful and credible, not by mandate.
- Combines strong technical depth with a clear strategic vision, helping shape scalable designs, reusable patterns, and best practices.
- Excellent stakeholder and communication skills: able to translate technical tradeoffs into business terms, align diverse groups, and build trust across functions and business units.
- A track record of mentoring and developing less-experienced engineers; genuine interest in growing others.
- Strong judgment and problem-solving: knowing which problems matter, when something is production-ready, and when to escalate or ask.
WHO THRIVES HERE
Success in this role depends as much on how you work as on what you know. The people who thrive here and strengthen the culture we value tend to be:
- Builders and finishers: energized by shipping real, dependable things, not just prototypes; they care about the unglamorous 80% (integration, evaluation, support) that makes AI work.
- Intellectually honest: comfortable saying "I don't know," naming risks early, giving and receiving direct feedback, and challenging ideas respectfully. We're building a culture of psychological safety and high standards, and that starts with candor.
- Collaborative by instinct: they bring people together across boundaries, assume good intent, and would rather make the whole team succeed than be the smartest person in the room.
- Curious and humble: eager to learn, including from the researchers whose work they help transition and from the business partners whose problems they solve.
- Growth-minded and generous: they treat setbacks as learning, lift the people around them, and want to help shape a team that's both excellent and a good place to work.
ACCESSIBILITY
HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.
Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.
WHAT WE CAN OFFER YOU:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
LOCATION
- United States of America: Annual Salary USD 178,000 - 361,000 in California
The listed salary range reflects base salary. Variable incentives may also be offered. Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
RECRUITMENT FRAUD ALERT
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
INTRODUCTION
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
ABOUT THE JOB
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. Within HPE’s Office of the CTO and HPE Labs, the AI Enablement team builds on HPE’s established AI research, engineering, and market expertise to accelerate the transition of innovation into production by turning promising ideas into dependable, governed, reusable capabilities that HPE’s business units and customers can adopt and build on.
We sit at the seam between invention and impact. We don’t just prototype; we make AI real, repeatable, and trusted at enterprise scale. The team combines HPE’s deep technical expertise with a collaborative, high-standards, and intellectually honest culture focused on solving hard problems. If you want to shape how a world-class technology company operationalizes AI, this is the team.
ROLE OVERVIEW
We’re hiring a technical lead for the AI Enablement team. As a tech lead, you’ll independently drive high-impact “lighthouse” AI use cases from concept through production: owning the technical direction, partnering across functions and business units to deliver value, and establishing scalable architectures, patterns, and standards that make each subsequent use case faster and more effective.
This is a hands-on senior role for someone who's technically excellent and genuinely good with people: equally comfortable in an architecture deep-dive, a stakeholder negotiation, and a mentoring conversation. You'll have unusual scope to shape both the work and the team from day one.
Key Responsibilities
- Lead lighthouse use cases end-to-end. Independently own selected high-impact AI use cases from problem framing and solution design through production deployment and the transition to operational ownership, bringing LLM, agentic, and applied AI approaches to bear where they fit.
- Build for production and measurable impact. Design the architecture of AI systems for scalability, performance, reliability, security, and supportability. Establish evaluation, guardrails, monitoring, documentation, and performance metrics that enable trusted adoption in real workflows and continuously improve the systems based on operational feedback.
- Create reusable patterns. Turn each delivery into reference architectures, tooling, and repeatable patterns that lower the cost of the next use case, so the team scales through leverage, not headcount.
- Partner across the organization. Work closely with stakeholders across business units, product, engineering, data, security, and HPE Labs to translate customer requirements, business needs, and industry trends into AI products, solutions, and systems improvements. Provide technical guidance, communicate tradeoffs and impact to technical and executive stakeholders, secure sponsorship and operational ownership, and drive adoption through credibility and influence.
- Provide technical leadership and mentorship. Serve as a recognized technical authority for significant AI initiatives, guide architecture and design reviews across projects, promote consistency and engineering best practices, and coach less-experienced engineers through code review, design review, pairing, and example. Contribute to knowledge sharing across the organization and help cultivate a collaborative, high-standards team culture.
- Help shape how we work. Contribute to the team's intake, prioritization, governance, and delivery practices as we build them, bringing judgment about what's worth doing and how to do it well.
BASIC QUALIFICATIONS
- Typically, 10+ years of relevant experience in applied AI/ML engineering, or software engineering, including hands-on delivery of AI/ML systems into production.
- Demonstrated ability to take an AI/ML solution from concept to production independently, not just modeling, but the full lifecycle: data pipelines, deployment, evaluation, and operationalization.
- Demonstrated experience shipping an LLM or agentic system that real users depend on, with ownership of its evaluation, reliability, and operation after launch.
- Experience building and scaling enterprise agentic AI solutions across complex, production-grade environments.
- Strong, current depth across AI and machine learning, including supervised and unsupervised learning, deep learning, natural language processing, large language models, generative AI, agentic systems, and statistical modeling, with practical experience in LLMOps or MLOps, evaluation, and production model lifecycle management.
- Solid systems and software engineering fundamentals; comfort with cloud-native and/or hybrid deployment environments.
- Working knowledge of responsible-AI and governance practices: evaluation, guardrails, security-by-design, data privacy, and how to build them in rather than bolt them on.
- Bachelor's, Master’s or PhD in computer science, computer engineering, data science, or related field, or equivalent practical experience.
PREFERRED QUALIFICATIONS
- Proven ability to lead technical work and influence across teams without formal authority: earning adoption by being useful and credible, not by mandate.
- Combines strong technical depth with a clear strategic vision, helping shape scalable designs, reusable patterns, and best practices.
- Excellent stakeholder and communication skills: able to translate technical tradeoffs into business terms, align diverse groups, and build trust across functions and business units.
- A track record of mentoring and developing less-experienced engineers; genuine interest in growing others.
- Strong judgment and problem-solving: knowing which problems matter, when something is production-ready, and when to escalate or ask.
WHO THRIVES HERE
Success in this role depends as much on how you work as on what you know. The people who thrive here and strengthen the culture we value tend to be:
- Builders and finishers: energized by shipping real, dependable things, not just prototypes; they care about the unglamorous 80% (integration, evaluation, support) that makes AI work.
- Intellectually honest: comfortable saying "I don't know," naming risks early, giving and receiving direct feedback, and challenging ideas respectfully. We're building a culture of psychological safety and high standards, and that starts with candor.
- Collaborative by instinct: they bring people together across boundaries, assume good intent, and would rather make the whole team succeed than be the smartest person in the room.
- Curious and humble: eager to learn, including from the researchers whose work they help transition and from the business partners whose problems they solve.
- Growth-minded and generous: they treat setbacks as learning, lift the people around them, and want to help shape a team that's both excellent and a good place to work.
ACCESSIBILITY
HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.
Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.
WHAT WE CAN OFFER YOU:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
LOCATION
- United States of America: Annual Salary USD 178,000 - 361,000 in California
The listed salary range reflects base salary. Variable incentives may also be offered. Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
RECRUITMENT FRAUD ALERT
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
See All 104+ Senior Level Associate Technical Lead Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsSenior Level Associate Technical Lead Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software35
- Consulting & Professional Services21
- Electronics & Hardware11
- Staffing & Recruiting6
- Banking & Financial Services6
Senior Level Associate Technical Lead Jobs: Frequently Asked Questions
How do I get a senior level associate technical lead job?
Employers at this level look for candidates who have already led technical initiatives end to end, not just contributed to them. Demonstrating that you've made architectural decisions, unblocked teams, and mentored junior engineers gives you a clear edge. Tailor your resume to show ownership of outcomes, not just participation in projects, and be ready to discuss tradeoffs you've navigated in past roles.
Which companies hire senior level associate technical leads?
Companies hiring senior level associate technical leads right now include Stantec, VHB, and Gemini, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from mid-to-large technology companies, enterprise software firms, and organizations scaling their engineering departments with experienced technical leadership.
Are there remote senior level associate technical lead jobs?
Yes, though availability varies by industry and employer. About 49% of senior level associate technical lead openings are remote or hybrid as of November 2026, reflecting ongoing demand for experienced technical leads who can operate effectively across distributed teams. On-site roles remain common in sectors where close collaboration or regulated environments require physical presence.
What makes an associate technical lead role senior level?
A senior level associate technical lead is expected to own the technical quality of a workstream, not just execute tasks within it. That means setting engineering standards, guiding architectural decisions, reviewing others' work with authority, and being accountable for delivery. Mentoring junior and mid-level engineers is also a core expectation, distinguishing these roles from individual contributor positions at earlier stages.
Which industries hire the most senior level associate technical leads?
Senior Level associate technical lead roles concentrate in Technology & Software, Consulting & Professional Services, and Electronics & Hardware, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they run complex, multi-team engineering programs that require experienced leads who can maintain technical quality while keeping delivery on track.