AI ML Engineer (IT Infrastructure & Operations)

About Analog Devices

Analog Devices, Inc. (NASDAQ: ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at and on and .

Position Summary

We are seeking a highly motivated AI Engineer with 4-6 years of experience in software development, Generative AI, and infrastructure automation. The ideal candidate will work closely with the EDA/HPC Infrastructure team, building AI-powered solutions that improve engineering productivity, automate operations, accelerate troubleshooting, and optimize compute infrastructure supporting semiconductor design workloads.

This role requires a unique combination of Python development expertise, Generative AI engineering, AI Agent development, and strong infrastructure knowledge across compute, storage, networking, Linux, cloud (AWS), and on-premises environments.

Key Responsibilities

• Design, develop, and deploy enterprise-grade AI applications using Python and modern Generative AI frameworks.

• Build andmaintainAI-powered assistants, copilots, RAG systems, and autonomous AI agents for infrastructure and engineering operations use cases.

• Develop Agentic AI workflows capable of reasoning, planning, tool execution, remediation, and workflow orchestration.

• Implement Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.

• Develop automation workflows using tools such as n8n and integrate them with enterprise systems and APIs.

• Collaborate with EDA/HPC infrastructure engineers to automate troubleshooting, incident management, root-cause analysis, and operational workflows.

• Integrate AI solutions with infrastructure platforms including Linux servers, storage systems, networking components, schedulers, and monitoring tools.

• Develop APIs, backend services, and integrations supporting AI applications.

• Work with cloud-native AI services and infrastructure on AWS.

• Implement monitoring, logging, testing, and governance controls forproductionAI systems.

• Leverage AI developer productivity tools such as Claude Code, GitHub Copilot, and similar coding assistants to accelerate solution delivery.

• Participate in architecture reviews, design discussions, and technology evaluations.

Required Qualifications

• Bachelor's orMaster's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, ora related field.

• 4-6 years of professional software development experience with Pythonand API development

• Hands-on experience designing and buildingAgenticAI applications in productionenvironmentsandenterprisegradesolutions.

• Proven experience developing:

• AI Chatbots

• Retrieval-Augmented Generation (RAG) systems

• Experience with vector databases and semantic searchoptimizations.

• AI Agents

• Multi-Agent / Agentic AIsystems

• Experience with frameworks and libraries including LangChain,LangGraph, n8n, AWSAgentCore

• Strong Linux administration and scripting knowledge.
• Sound understanding of Compute infrastructure,Enterprise storage technologies,Networking fundamentals,Distributed systems

• Familiarity with Git-based development workflows and CI/CD processes.

• Experience training ML modelwithMLOpsmethodologyand working in cloud platforms such as Azure ML Workspace, AWSSagemaker

Soft Skills

• Strong troubleshooting, analytical, and problem-solving skills.
• Effective communication and teamwork skills.
• Ability to manage multiple priorities in a fast-paced environment.
• Customer-focused mindset.
• Experience with project management is a plus.