Senior AI Application Engineer
Listed on 2026-05-16
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IT/Tech
AI Engineer (Applied/Software), Data Engineer
About Analog Devices Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible.
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The Role
As a Senior AI Application Engineer, you will be the primary technical builder for ADI’s Enterprise AI Productivity program, shaping how our employees work with AI. You will design and ship Copilot Studio agents and Power Automate workflows that employees interact with daily, while building the custom LLM pipelines and RAG architectures that power them with ADI’s proprietary knowledge, all within a governed, enterprise-grade architecture.
This is a hands‑on individual contributor role reporting directly to the Enterprise Productivity Lead, with high visibility across executive stakeholders and cross-functional teams.
What You’ll Do- Design and ship Copilot Studio agents end‑to‑end — topic architecture, knowledge grounding, connector integration, and production deployment
- Build Power Automate cloud flows connecting agents to SharePoint, Microsoft Graph, Dataverse, and internal APIs
- Own the Microsoft Graph API and Azure Entra n layer — service principals, OAuth, and enterprise data access permissions in collaboration with IT
- Design and build RAG pipelines grounding agents in ADI’s engineering documentation, datasheets, and simulation data using Azure AI Search or equivalent vector stores
- Expose custom LLM backends (Azure OpenAI, Claude API, or similar) as REST endpoints callable from Copilot Studio via custom connectors
- Establish reusable patterns, component libraries, and ALM practices — managed solutions, environment‑to‑environment deployment, and CI/CD pipelines — enabling citizen developers to build safely at scale
- Instrument agents for usage analytics — adoption metrics, time‑saved estimates, and business impact data
- Manage Power Platform environment governance — DLP policies, solution lifecycle, environment strategy, and connector security
- Copilot Studio - agent design, topics, actions, generative answers, production deployment
- Power Automate — cloud flows, HTTP connectors, custom connectors, approval workflows
- Microsoft Graph API — querying SharePoint, users, calendar, and Teams data at enterprise scale
- Azure Entra — app registrations, service principals, OAuth, enterprise permission management
- Python (production‑grade) — LLM API calls, data pipelines, REST endpoint development
- RAG architecture — chunking, embedding, vector stores (Azure AI Search, Pinecone, pgvector, or equivalent)
- Azure OpenAI or equivalent LLM API — custom backend integration via Copilot Studio connectors
- Power Platform ALM & DLP administration — solution lifecycle, environment strategy, connector governance
- Strong collaboration and communication skills across technical and business teams
- Bachelor’s or Master’s in Computer Science, Information Systems, AI, or related field
- 4–7 years in AI engineering, enterprise automation, or Microsoft 365 development (or equivalent project portfolio)
- At least one production deployment connecting a Microsoft front-end to a custom LLM or RAG backend
- Experience navigating enterprise IT governance — DLP, environment strategy, admin boundaries — in organizations of +50,000 employees
- Preferred:
Azure AI Foundry, Lang Chain or Llama Index, Dataverse schema design, prompt engineering, LLM evaluation - Preferred: PL-200 or PL-400 certification
At Analog Devices, you’ll join a small, high-impact team shaping how a global engineering company works with AI. Reporting directly to the Enterprise Productivity Lead, you will have immediate access to executive stakeholders, an EAI Steering Board, and cross‑functional partners across HR, IT, Sales, and Engineering.…
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