Lead Forward Deployed Engineer, Industrial AI

Position
:
Lead Forward Deployed Engineer, Industrial AI

Location
:
San Leandro, CA;
Boston, MA;
New York, NY

Employment Type
:
Full-time

Salary Range
: $ - $

This pay range represents the minimum and maximum compensation that the position offers, and final compensation can vary within the range depending on work location, job experience, skills, and relevant educational attainment and/or training.

• Provide industrial domain expertise to guide AI tool, platform, and roadmap decisions and development
• Work directly with internal and external customers in a consultative, problem‑solving manner to gather feedback and refine solutions
• Drive investigations into the application of advanced AI capabilities to industrial problems
• Identify and define industrial use cases for AI applications
• Develop AI‑enabled demos, prototypes, and proof‑of‑value solutions for industrial problems
• Collaborate with cross‑functional teams to integrate AI capabilities into industrial software systems and implement AI solutions
• Evaluate the performance and impact of AI models in operational environments
• Support and mentor junior team members

• 12+ years of experience in industrial systems, automation, applied AI, or AI‑enabled software engineering with at least 4 years in a customer‑facing, technical lead position
• Bachelor's degree in Computer Science, Engineering, Industrial Systems, or a related technical field; advanced degree preferred
• Exceptional industrial domain understanding (manufacturing, energy, infrastructure, asset‑intensive industries, material science, etc.)
• Customer‑focused, pragmatic, and results‑oriented with experience leading cross‑functional technical projects or customer engagements
• Demonstrated hands‑on experience deploying or integrating AI/ML solutions into real‑world industrial environments
• Ability to identify emerging opportunities for AI in industrial applications
• Excellent communication and interpersonal skills with the ability to embed closely with customer teams and collaborate internally across engineering, product, and commercial teams

• Experience working across on‑prem, edge, and cloud‑connected architectures
• Prior work in environments transitioning from traditional on‑prem systems to AI‑enabled or hybrid architectures
• Experience operating within regulated or compliance‑driven environments (e.g. energy, safety‑critical systems, data privacy)
• Experience mentoring or guiding less‑experienced engineers

• AI solutions are successfully applied to real industrial problems, not just conceptual designs
• Prototypes and deployments demonstrate practical feasibility and measurable impact
• Codified learnings, insights and architectural patterns into references, guides, playbooks, or building blocks that are digestible and actionable for others
• Industrial constraints (latency, security, compliance, reliability) are addressed through solid engineering decisions
• Strong collaboration in a matrix/incubation environment, contributing as a senior technical practitioner
• Feedback from field deployments meaningfully influences AI platform and product direction

USA Benefits include: Flex work hours, 20 days PTO rising to 25 with service, three paid volunteering days, primary and secondary parental leave, well‑being support, medical, dental, vision, and 401K. It’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.

AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter.

Determinations on requests for reasonable accommodation will be made on a case‑by‑case basis.