ETS GenAI Engineer at Micron Technology

Tlaquepaque, jalisco, Mexico -

Full Time

Start Date

Immediate

Expiry Date

10 Mar, 26

Salary

0.0

Posted On

10 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Tools Evaluation, AI Solution Development, Integration & Enablement, Process Automation, Collaboration & Training, Governance & Compliance, Security & Identity Integration, Continuous Improvement, Machine Learning, Automation Tools, Cloud AI Platforms, API Integrations, Context Management Solutions, Multi-Agent Workflows, Problem-Solving, Communication Skills

Industry

Semiconductor Manufacturing

Description

AI Tools evaluation - Explore the capabilities of the new Generative AI tools 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. Continuous Improvement: Collect feedback, iterate solutions, and contribute to a culture of innovation and scalability. Bachelor's or master's degree in computer science, AI, Machine Learning, Data Science or related field. 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). Experienece in using Code Gen tools such as GitHub Copilot, Tabnine. 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. 5+ years of Experience

Responsibilities

The role involves evaluating AI tools, developing AI-driven solutions, and integrating AI agents with enterprise systems. Additionally, the engineer will focus on process automation and collaboration with cross-functional teams to enhance AI literacy.