AI Reimagination Engineer

About the role

Micron's Generative AI Center of Excellence (GenAI COE) is looking for an AI Reimagination Engineer to partner with business areas and turn large, manual, multi-step processes into effective, autonomous systems. The role combines process reimagination with AI systems engineering and works closely with the GenAI COE, IT architecture, security and project teams, leading projects from redesign to final build.

Key responsibilities

• Decompose end-to-end processes: map current-state flows, quantify effort and risk, and lead eliminate/simplify/agentify analysis before automation.
• Architect the agentic solution: build future-state flows and AI architecture, including task and agent decomposition, orchestration patterns, tool and data access, memory and context strategy, and human-in-the-loop controls.
• Translate inventions into buildable solutions: develop agent workflows, compose prompt and context strategies, define MCP/connector and integration requirements, and set evaluation criteria following Micron's Secure by Design and data-classification standards.
• Prototype and build working agentic solutions, or direct their build with platform engineers, validating fit and value before full delivery.
• Engineer trust and control: define testable human-in-the-loop controls and least-privilege permissions for each process step.
• Drive multi-functional delivery across the client function, IT architecture, security, platform engineers and the EPMO through first production release.
• Capture value baselines during discovery, support 30/90-day post-release measurement, and turn findings into reference flows, decomposition patterns and playbooks. Mentor engineers and grow the network of agentic champions.

Required profile

• Bachelor's or master's degree in computer science, AI/ML, engineering or a related field, or equivalent experience blending technical delivery with business process work.
• Proven track record in decomposing complex business processes and building technical solutions.
• 8+ years of overall experience and 3+ years in AI/ML, with recent hands-on experience building agentic or LLM-based systems.
• Excellent facilitation, written and executive communication skills, able to run discovery with business leaders and align business, engineering and risk teams.

Required skills

• Preferred: experience leading workshop-based process redesign and familiarity with AI governance, responsible AI, security fundamentals and validation/testing of autonomous behavior.
• Preferred: hands-on experience with enterprise AI and automation platforms, and proficiency in Python.NET/C#, SQL and APIs.
• Preferred: depth in agent orchestration, multi-agent development, context management and long-horizon tasks.