Senior AI Application Engineer

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 ID integration 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

Must-Have Skills

• 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 ID - 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 +50000 employees
• Preferred: Azure AI Foundry, LangChain or LlamaIndex, Dataverse schema design, prompt engineering, LLM evaluation
• Preferred: PL-200 or PL-400 certification

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law . Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days

The expected wage range for a new hire into this position is $144,000 to $198,000.

• Actual wage offered may vary depending on work location , experience, education, training, external market data, internal pay equity, or other bona fide factors.
• This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
• This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

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 . Learn more at www.analog.com and on LinkedIn and Twitter (X) ., 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'll have immediate access to executive stakeholders, an EAI Steering Board, and cross-functional partners across HR, IT, Sales, and Engineering. Every person's output matters every week - and scales across the enterprise.