DMTS ITP AI Architecture and Delivery

Overview

Hands-on AI architecture and execution leader for ITP, turning ITP AI priorities into production-grade solutions that accelerate technology development, silicon design, product development and engineering execution.

What you'll do

• Partner with SMEs across ITP to understand engineering workflows, data and constraints, and translate them into scalable, implementable AI architectures.
• Define technical designs, solution blueprints and implementation plans that move AI use cases from concept to production.
• Lead hands-on technical execution, including architecture reviews, build decisions, integration and deployment readiness.
• Establish reusable architecture patterns, platforms and standards that accelerate delivery across ITP.
• Translate the ITP AI roadmap into quarterly deliverables with clear milestones, owners and success criteria.
• Identify and manage technical risks, dependencies and trade-offs to keep programs on schedule.
• Own delivery of AI outcomes end to end, from requirements through production rollout and adoption.
• Work with internal customers across technology development, silicon design, product engineering and manufacturing to prioritize the highest-impact use cases.
• Drive rollout of production AI systems, ensuring quality, reliability, scalability, security and supportability.
• Partner with cross-functional engineering and IT teams to integrate AI solutions into existing tools, data and workflows.
• Track and report adoption, performance and business impact of deployed solutions, including improvements in velocity, quality and cost.
• Continuously improve deployed systems based on customer feedback and operational data.
• Drive innovation that becomes deployable capability, applying GenAI, agentic AI, machine learning, scientific AI and semiconductor-focused AI to real ITP problems.
• Rapidly prototype and evaluate new approaches, scaling those that prove value into production.
• Serve as a trusted technical advisor to ITP leaders on AI architecture, delivery priorities and investment trade-offs.
• Lead cross-functional teams through complex technical challenges.
• Mentor senior technical staff, principal engineers, architects and engineers, and build Micron's AI technical community and talent pipeline.

What you'll need

• MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Engineering, Applied Mathematics, or related field.
• 15+ years of experience in advanced AI research, AI platform development, machine learning, semiconductor or related technical domains.
• Demonstrated record of technical innovation translated into production systems with measurable business impact.
• Deep expertise in multiple AI disciplines, such as Generative AI, agentic AI, machine learning, deep learning, LLMs, AI infrastructure, scientific AI, reinforcement learning, and AI safety and governance.
• Significant experience architecting, building and deploying large-scale AI or software systems into production.
• Exceptional communication and executive influencing skills.
• Proven ability to drive technical outcomes across organizational boundaries without direct authority.

Nice to have

• Expertise in AI with a good record of publications, patents, open-source contributions or industry recognition.
• Experience applying AI within semiconductor technology, EDA, manufacturing, product development, scientific computing or high-performance computing environments.
• Demonstrated success creating and scaling enterprise AI platforms and capabilities.
• Experience leading AI transformation efforts within global organizations.
• History of mentoring senior technical talent and developing future technical leaders.
• Distinguished engineer experience, or equivalent technical leadership accomplishments.

Details

• Location: Hyderabad - Phoenix Aquila, India.