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. Join Micron’s AI Enablement team and help accelerate enterprise-wide AI adoption. This role is designed for engineers passionate about applying AI to real-world business challenges. You will work on rapid prototyping, automation, and integration of AI solutions that enhance productivity and innovation across diverse business areas. Responsibilities AI Solution Development: Build and deploy AI-driven tools and workflows using platforms like Copilot Studio, UiPath, and other automation frameworks. Integration & Enablement: Connect AI agents with enterprise systems (e.g., SharePoint, M365), external APIs, knowledge bases, and ensure seamless interoperability. Process Automation: Identify repetitive tasks and design intelligent automation solutions to improve efficiency. Collaboration & Training: Partner with cross-functional teams to enable AI literacy, create best-practice documentation, and support internal training sessions. Governance & Compliance: Collaborate with cybersecurity teams to enforce data protection, threat modeling and ensure all AI solutions adhere to security, ethical, and compliance standards. Security & Identity Integration: Ensure secure agent interactions using encryption, authentication, and authorization mechanisms; integrate agents with identity platforms (e.g., OAuth2, OIDC, SAML, Entra ID, AD FS) for secure access control. Continuous Improvement: Collect feedback, iterate solutions, and contribute to a culture of innovation and scalability. Minimum Qualifications Bachelor’s or master’s degree in computer science, AI, Machine Learning, Data Science or related field. 2 years of experience in software development or AI/ML engineering. Strong understanding of AI concepts, machine learning pipelines, and automation tools. Hands‑on experience or coursework in Copilot Studio, UiPath, and SharePoint. Knowledge with cloud AI platforms: Azure AI Foundry, AWS Bedrock, and/or Google Vertex AI. Knowledge with scalable context management solutions including retrieval‑augmented generation (RAG), semantic chunking, and memory persistence for long‑horizon tasks. Ability to design, implement, and manage context‑aware systems that leverage Model Context Protocol (MCP) to maintain continuity across user interactions, including prompt engineering, memory management, and context window optimization for large language models. .Net, C#, Python, Java, API development, SQL, PowerShell, Unix shell scripting. Preferred Qualifications Exposure to generative AI, prompt engineering, or agent-based systems. Interest in AI governance, security, and ethical frameworks. Ability to adapt quickly and deliver “quick wins” while maintaining enterprise standards. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. #J-18808-Ljbffr