Micron Technology Company is hiring Engineer, IT, AI Enablement Jobs 2026
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. Work Location: Hyderabad
Qualifications:
- Bachelor’s or master’s degree in computer science, AI, Machine Learning, Data Science or related field.
- Fresh graduates or professionals with up to 2 years of experience in software development or AI/ML engineering.
Work 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, etc.) for secure access control.
- Continuous Improvement: Collect feedback, iterate solutions, and contribute to a culture of innovation and scalability.
Technical Skills Required:
- 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
- Implement multi-agent workflows for complex tasks such as decision-making, negotiation, and collaborative problem-solving.
- 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.
- Familiarity with cloud platforms, API integrations, and data quality validation.
- Familiarity with agent orchestration frameworks and multi-agent systems using A2A (Agent to Agent).
- Knowledge of common development languages
- .Net, C#, Python, Java, API development, SQL, PowerShell, Unix shell scripting
- Excellent problem-solving skills and ability to work in fast-paced, agile environments.
- Strong communication skills for cross-team collaboration.
Other Thinks:
- 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.