AI Engineer

About the Role

Design, build, test, and deploy custom agents, plugins, and connectors in Microsoft Copilot Studio and Azure AI Foundry, integrated with M365 Copilot, Teams, Outlook, and SharePoint. Build automation and orchestration in Power Automate and Power Platform, including custom connectors to client data sources (Confluence, Jira, ServiceNow, internal APIs). Implement retrieval, grounding, and indexing patterns against SharePoint, Microsoft Graph, and approved third-party data sources. Prototype and productionize agents that automate high-value workflows; iterate based on telemetry and user feedback.

Responsibilities

• Design, build, test, and deploy custom agents, plugins, and connectors in Microsoft Copilot Studio and Azure AI Foundry, integrated with M365 Copilot, Teams, Outlook, and SharePoint.
• Build automation and orchestration in Power Automate and Power Platform, including custom connectors to client data sources (Confluence, Jira, ServiceNow, internal APIs).
• Implement retrieval, grounding, and indexing patterns against SharePoint, Microsoft Graph, and approved third-party data sources.
• Prototype and productionize agents that automate high-value workflows; iterate based on telemetry and user feedback.
• Stay current on AWS Bedrock / Amazon Q / Strands / Agents for Bedrock and Google Vertex AI / Agentspace / ADK agent-building patterns, and translate applicable ideas into the Microsoft implementation.
• Evaluate emerging frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen, MCP) and recommend where they fit—or don’t fit—within the client's M365-first strategy.
• Partner with Workplace AI Engineer and Information Security to implement AI governance controls: data protection (Purview, MIP, Digital Guardian/DLP), model access controls, prompt and output logging, and agent lifecycle approvals.
• Implement and operate Power Platform environment strategy (default, managed, dev/test/prod separation, DLP policies, capacity management).
• Design IAM and least-privilege patterns for agent identities (Entra app registrations, managed identities, service principals, OKTA federation).
• Build dashboards and telemetry for agent usage, latency, accuracy, cost, and policy violations using Log Analytics, Sentinel, Defender for Cloud Apps, and Power BI.
• Define and operate the on-call model for production agents in partnership with Tier 3 Engineering. Drive root-cause analysis for agent incidents and feed lessons back into platform standards.
• Integrate Copilot and custom agents with client knowledge sources—Confluence, Jira, ServiceNow, SharePoint, Exchange, Teams, OneDrive—using approved connectors and Graph APIs.
• Work with Identity engineering to align agent authentication with Entra ID and OKTA.
• Coordinate with Data, Cloud, and Security domain teams on third-party data integration patterns.
• Serve as Tier 3 escalation for complex Copilot Studio, Foundry, and Power Platform issues.
• Provide deep technical consultation to Workplace Engineering and partner teams adopting agents.
• Build reusable patterns, reference implementations, and internal playbooks that scale beyond a single engineer.
• Lead proof-of-concept work for new Microsoft AI capabilities (Foundry agents, Copilot Tuning, MCP servers, declarative agents, agentic memory).
• Contribute to the Workplace AI roadmap and operating model.
• Partner with the Copilot Champions program and fireside-chat / train-the-trainer initiatives to translate engineering work into adoption outcomes.

Requirements

• Professional software/platform engineering experience, with 5+ years building production solutions on the Microsoft 365 and/or Azure stack.
• Hands-on production experience with at least three of: Microsoft Copilot Studio, Azure AI Foundry / Azure OpenAI, Power Automate, Power Apps, Microsoft Graph, SharePoint Framework.
• Demonstrable experience designing and shipping agentic or generative AI solutions—not just consuming a chat UI, but building, grounding, evaluating, and operating agents.
• Working knowledge of at least one non-Microsoft AI platform (AWS Bedrock / Amazon Q, Google Vertex AI / Agentspace, OpenAI API direct, Anthropic API) sufficient to evaluate trade-offs.
• Robust scripting and development skills in Python, PowerShell, and TypeScript/JavaScript; comfort with REST APIs, OAuth 2.0 / OIDC, and JSON schemas.
• Experience implementing security and compliance controls in a regulated environment: Purview, Sentinel, Defender, Conditional Access, MIP, DLP.
• Identity fluency with Entra ID (Azure AD) and federated IdPs (OKTA preferred).
• Experience working in a financial services, healthcare, or other heavily regulated environment, or a credible plan to come up to speed quickly.
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

Preferred Attributes

• Familiarity with Model Context Protocol (MCP), declarative agents, and emerging agent-interop standards.
• Experience with Confluence and Jira indexing / connector development for AI grounding.
• Experience operating Power Platform Center of Excellence tooling and ALM patterns.
• Comfort with infrastructure-as-code (Bicep, Terraform) and CI/CD for Power Platform / Foundry artifacts.
• Background contributing to internal communities of practice, champions networks, or developer enablement programs.
• Prior experience as a hands-on engineer in a Fusion Team (engineers + product + data + analysts) or AI Center of Excellence model.
• Vendor certifications welcomed but not required: MS-102, AI-102, PL-400, PL-600, AZ-204, SC-100.

Pay

$55 - 60 per hour

Schedule

8am to 5pm

Location

Malvern, Pennsylvania

Benefits

• Medical, prescription, dental, and vision insurance
• AD&D and life insurance offerings
• Short-term disability
• 401K plan (all benefits are based on eligibility)