Senior AI Application Engineer

3M HEALTHCARE; Wilmington (MA); On-site; USD 144,000 - 198,000; Full time

Benefits offered by this job

Medical, vision and dental coverage

401k

Paid vacation, holidays and sick time

Job summary

Analog Devices Senior AI Application Engineer role focuses on building Copilot Studio agents and Power Automate workflows used daily by employees. You design and ship production-ready LLM pipelines and RAG architectures grounded in ADI’s knowledge base.

You will collaborate with IT and business teams to deploy scalable, governance-conscious automation, integrating secure connectors and reusable components while measuring adoption and business impact.

Qualifications

• Experience designing Copilot Studio agents and production deployment.
• Proficient in Power Automate cloud flows and custom connectors.
• Expertise with Microsoft Graph API at enterprise scale.
• Knowledge of Azure Entra ID for enterprise permissions.
• Production-grade Python for LLM integration and data pipelines.
• Experience with RAG architectures and vector stores.
• Experience exposing LLM backends via REST endpoints.
• Power Platform ALM and DLP governance experience.
• Strong cross-functional collaboration and communication.

Responsibilities

• Design and ship Copilot Studio agents end-to-end.
• Build Power Automate cloud flows linking agents to SharePoint, Graph, Dataverse, and internal APIs.
• Own Microsoft Graph API and Azure Entra ID integration layer.
• Design and build RAG pipelines grounding in docs/data using Azure AI Search or vector stores.
• Expose custom LLM backends as REST endpoints callable from Copilot Studio.
• Establish reusable patterns, libraries, and ALM practices for safe scale.
• Instrument agents for usage analytics and business impact.
• Manage Power Platform environment governance, including DLP and connectors.

Skills

Copilot Studio

Power Automate

Microsoft Graph API

Azure Entra ID

Python

RAG architecture

Azure OpenAI integration

Power Platform ALM & DLP

Cross-functional collaboration

Education

Bachelor's or Master's in Computer Science or related field

Job description

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.

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

Preferred Qualifications

• 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, LangChain or LlamaIndex, Dataverse schema design, prompt engineering, LLM evaluation
• Preferred: PL‑200 or PL‑400 certification

Job Details

Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days

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

Benefits

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

Equal Employment Opportunity

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.