Director, ITP AI Forward Deployed Engineering (FDE)
micronRichardson, TX
Director, ITP AI Forward Deployed Engineering (FDE)
micronRichardson, TX
today
Occupations
Computer and Information Systems ManagersComputer Systems Engineers/ArchitectsArchitectural and Engineering ManagersIndustries
Electronic Computer ManufacturingSoftware PublishersSemiconductor and Related Device ManufacturingAbout the role
Overview:
In this role you lead the AI Forward Deployed Engineering function within Micron’s IT&P organization, accelerating the delivery of AI-enabled solutions across product teams. You will build and manage a cross-functional team responsible for productionizing AI agents, models, and workflows from exploration to production, with a focus on reliability and scalability. You shape strategy, reference architectures, and governance to drive measurable business impact. This is a high-impact leadership role at scale, blending engineering excellence with product and operational accountability. Compensation / Benefits medical, dental, and vision plans paid time off paid holidays paid family leave
Responsibilities:
Direct forward deployed delivery by embedding FDE engineers into engineering departments to identify high-impact use cases and deliver production-ready solutions Advance AI solutions from pathfinding to pilot and production, ensuring operational readiness, monitoring, and reliability from day one Develop repeatable deployment instructions and reference architectures to speed delivery across ITP Drive adoption and quantify business impact by partnering with product leaders to track adoption, efficiency, and cost improvements Build and lead the FDE organization, including SRE/operations and AI/ML engineers, aligning resources with ITP value Own production operations and reliability for deployed AI solutions, establishing SLOs/SLAs, on-call processes, incident management, and change control Lead telemetry, observability, and optimization across the AI stack with dashboards, logs, tracing, and health scorecards Measure success of deployed AI capabilities in terms of availability, performance, cost, adoption, and engineer satisfaction
Key requirements:
15 years of experience in software engineering/AI/ML/data science or engineering solutions with 7+ years in management Proven experience owning production operations for enterprise-critical systems (on-call, incident management, observability, RCA, SLOs) Experience deploying AI/ML or generative AI solutions into production and driving adoption across multiple teams Technical leadership across AI/ML engineering, production software and infra, data systems, automation, and reliability Master’s degree in a related field Demonstrated ability to lead cross-functional teams and manage budgets and stakeholders Familiarity with CAD workflows and complex engineering environments is a plus Preferred: PhD or equivalent; semiconductor/memory/storage domain experience ownership and accountability cross-functional collaboration customer focus AI/ML engineering production software and infrastructure SRE/operational reliability
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JOB OVERVIEW
Experience level
Manager
Location
Richardson, TX
Occupation
Computer and Information Systems Managers
Industry
Electronic Computer Manufacturing
Posted
today
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