Director, ITP AI Forward Deployed Engineering (FDE)

Req ID:

JR117344 Director, ITP AI Forward Deployed Engineering (FDE)

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Micron’s Innovation, Technology & Products (ITP) organization seeks a Director of AI Forward Deployed Engineering to build and lead a team working side-by-side with ITP product teams. The organization aims to bring artificial intelligence, machine learning, data science, automation, and AI-powered engineering capabilities into the spaces where Micron engineers invent and develop memory and storage products.

This leader will be responsible for the final stage of ITP AI delivery, improving AI agents, custom models, and AI-enhanced engineering workflows from initial exploration to production release and ongoing management. The Forward Deployed Engineering (FDE) team will handle both the deployment and maintenance of these solutions. Their focus includes production reliability, scalability, optimization, telemetry, and observability across the ITP AI stack, covering applications, agents, models, data, and infrastructure.

## Responsibilities

• Direct forward deployed delivery for ITP product teams by integrating FDE engineers into engineering departments. They discover high-impact use cases and develop production-ready solutions. These cover AI agents, agentic workflows, data science, custom models like small language models (SLMs), and AI-powered engineering and CAD workflows.
• Advance AI solutions from pathfinding through pilot and into production, incorporating operational readiness, monitoring, runbooks, support, security, scalability, and reliability from day one. Produce repeatable deployment instructions and reference architectures that speed up delivery cycles across ITP.
• Accelerate adoption and measurable business impact by partnering with product team leaders to translate engineering challenges into prioritized AI opportunities and track improvements in adoption, efficiency, engineering cycle time, quality, reliability, and cost.
• Develop and lead the FDE organization by sourcing, growing, and retaining a skilled team of forward deployed engineers, SRE/operations engineers, and AI/ML engineers. Handle team resources, priorities, and budget guided by ITP business value while partnering with architecture, platform, support, product, and Information Technology teams.
• Own production operations and reliability for deployed ITP AI solutions by establishing service-level objectives (SLOs), appropriate service-level agreements (SLAs) and error budgets, on-call rotations and blocking issue response models, incident management, root-cause analysis, corrective actions, and change, release, and rollback practices that protect production stability.
• Provide accountable leadership during production incidents by driving rapid service restoration. Communicate clearly with impacted product teams and help prevent recurrence. Proactively identify and eliminate single points of failure, capacity risks, and operational toil through automation.
• Drive telemetry, observability, and continuous optimization across the AI stack through logging, tracing, monitoring, alerting, dashboards, and health scorecards that provide access to production system health and usage. Use operational insights to continuously improve performance, reliability, cost efficiency, model quality, and ITP AI, data, and platform roadmaps.
• Measure and communicate the success of deployed AI capabilities, including business value delivered as solutions move from pathfinding to production, production availability and SLO attainment, performance and cost improvements, solution adoption, and happiness among ITP engineers.

## Minimum Qualifications

• Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, Data Science, or a similar field.
• 15 years of experience in software engineering, AI/ML, data science, or engineering solutions, with more than 7 years managing engineering teams.
• Proven experience owning production operations for enterprise-critical systems, including on-call operations, incident management, observability, root-cause analysis, service-level objectives, and production reliability.
• Demonstrated experience deploying AI/ML, generative AI, or related AI-enabled solutions into production and driving adoption across multiple engineering or product teams.
• Demonstrated technical leadership across AI/ML engineering, production software and infrastructure, data systems, automation, and operational reliability.

## Preferred Qualifications

• PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, AI/ML, Data Science, or a related technical area.
• Experience in semiconductor, memory, storage, or related product development environments, with knowledge of complex engineering, building, verification, and CAD workflows.
• Experience building and leading forward deployed, customer-embedded, SRE, production engineering, AI/ML, or similar technical groups.
• Extensive background in AI agents and autonomous workflows, generative AI, machine learning models, compact language models, AI-assisted engineering processes, production AI monitoring, and model performance.
• Demonstrated leadership grounded in ownership, operational excellence, technical depth, a builder approach, cross-functional collaboration, innovation, and customer focus.

Job Profile(s):

Systems Software Engineering Manager 3 - Machine Learning Engineer Manager 3

Relocation Level: TBD

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