> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # HPE Labs - AI/ML Engineer (Technical Lead) Canonical URL: https://nextmove.md/fde/jobs/3d909a9f38bbdd05 Hewlett Packard Enterprise posts a senior FDE role to build for teams inside the company in Milpitas, CA, at $178,000–$361,000 base, above the US FDE median of $193,000 across 2,424 postings with pay. Technical lead in HPE Labs’ AI Enablement team, driving high-impact AI use cases from concept through production and operational ownership across HPE business units. Read from the employer’s posting on November 10, 2026. - [Hewlett Packard Enterprise](https://nextmove.md/fde/companies/hewlett-packard-enterprise) First seen Nov 10, 2026 · open on Workday as of Nov 10, 2026 **$178,000–$361,000** Milpitas, CA Hybrid Technical lead in HPE Labs’ AI Enablement team, driving high-impact AI use cases from concept through production and operational ownership across HPE business units. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F3d909a9f38bbdd05&placement=top) - [View posting at Hewlett Packard Enterprise](https://hpe.wd5.myworkdayjobs.com/acjobsite/job/Milpitas-California-United-States-of-America/HPE-Labs---AI-ML-Engineer--Technical-Lead-_1217315) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay $178K–$361K Above the median Midpoint $270K · median $193K This job $178K to $361K. All US FDE postings, 2,424 postings: the middle 50% of posted pay is $160K to $225K, median $193K. ### Do you meet what the posting states? The posting asks for 10+ years. How many do you have? The job is in Milpitas, CA. Could you work there? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: Milpitas, CA - **Work arrangement**: Hybrid - **Experience requirements**: 10+ years - **Pay**: ## More like this [Uber](https://nextmove.md/fde/companies/uber) ### [Staff Software Engineer, Agentic](https://nextmove.md/fde/jobs/4361a52074119ef2) San Francisco, CA · Sunnyvale, CA · +1 more New · 2d ago $232,000–$258,000 [Jones Lang LaSalle (JLL)](https://nextmove.md/fde/companies/jones-lang-lasalle-jll) ### [Forward Deploy Engineer](https://nextmove.md/fde/jobs/adb58e1e1a50fa0b) Chicago, IL · San Francisco, CA Remote 3mo ago $220,000–$320,000 [Etched](https://nextmove.md/fde/companies/etched) ### [Internal Acceleration, Engineer (Production)](https://nextmove.md/fde/jobs/50520a6cf33f35c2) San Jose, CA On-site 3w ago $150,000–$400,000 ## The job description from Hewlett Packard Enterprise HPE Labs - AI/ML Engineer (Technical Lead) This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. ### Who We Are 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. ### Job Description 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. **“Hybrid – 2 days per week in offic**e ### 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. ### Preferred Qualifications ### Experience & technical skills - 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. ### Leadership & collaboration - 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. ### Let's Stay Connected Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates ### Job Engineering ### Job Level TCP_05 The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – 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. Please click here: Equal Employment Opportunity. **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. [View posting at Hewlett Packard Enterprise](https://hpe.wd5.myworkdayjobs.com/acjobsite/job/Milpitas-California-United-States-of-America/HPE-Labs---AI-ML-Engineer--Technical-Lead-_1217315) ## About Hewlett Packard Enterprise Enterprise infrastructure company selling servers, hybrid cloud, storage, AI systems, and AI-native networking, differentiated by GreenLake consumption and Juniper/Aruba stack. 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