Senior AI Application Engineer

About 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.

• 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

Job Req Type:
Experienced

Required Travel:
Yes, 10% of the time

Shift Type: 1st Shift/Days

Expected wage range: $144,000 to $198,000.

This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

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.