Engineer, IT, AI Enablement

Overview

Engineer in Micron's AI Enablement team, building and integrating AI solutions that enhance productivity and innovation across business areas, through rapid prototyping, automation and enterprise integration.

What you'll do

• Build and deploy AI-driven tools and workflows using platforms like Copilot Studio, UiPath and other automation frameworks.
• Connect AI agents with enterprise systems (e.g., SharePoint, M365), external APIs and knowledge bases, ensuring seamless interoperability.
• Identify repetitive tasks and design intelligent automation solutions to improve efficiency.
• Partner with cross-functional teams to enable AI literacy, create best-practice documentation and support internal training sessions.
• Collaborate with cybersecurity teams to enforce data protection and threat modeling, and ensure all AI solutions adhere to security, ethical and compliance standards.
• 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.
• Collect feedback, iterate solutions and contribute to a culture of innovation and scalability.

What you'll need

• Bachelor's or master's degree in computer science, AI, Machine Learning, Data Science or a related field.
• Minimum of 5 years of experience in software development, including at least 2 years specializing in 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 of cloud AI platforms: Azure AI Foundry, AWS Bedrock and/or Google Vertex AI.
• Knowledge of 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.

Nice to have

• 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.

Details

• Location: Hyderabad - Phoenix Aquila, India.