AI Engineer — Workplace AI

Role Summary

Vanguard is investing in an enterprise Workplace AI capability that puts agentic generative and assistive AI into the daily flow of every crew member. We are building this capability primarily on the Microsoft 365 ecosystem Microsoft 365 Copilot Copilot Studio Azure AI Foundry and Power Platform and integrating with the broader Vanguard data identity and security stack.

We are hiring a hands-on AI Engineer to drive the implementation of this capability. This is a builders role not an architect-only role. The market for AI Architects is still immature true architects today sit at thehyperscalersand ISVs who are building the underlying tools. Vanguard as a sophisticated consumer of those tools needs an engineer who can pick up Copilot Studio Foundry Power Automate and the Microsoft Graph and ship working agents and integrations against them while staying current on how AWS Bedrock Amazon Q Google Vertex AI andAgentspaceare evolving so we can bring the best ideas back into our M365 implementation.

You will partner closely with our Workplace AI Engineer on agent governance environment strategy and Copilot Studio operations; with our Technical Project Manager on program delivery champions enablement and change management; and with our Cloud Domain Architect on platform alignment. You will be a core member of the emerging Workplace AI Fusion Team.

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 Vanguard data sources (ConfluenceJira ServiceNow internal APIs).

• Implement retrieval grounding and indexing patterns against SharePoint Microsoft Graph and approved third-party data sources.

• Prototype andproductionizeagents that automate high-value crew workflows; iterate based on telemetry and user feedback.

Cross-Platform Industry Fluency

• 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 our Microsoft implementation.

• Evaluate emerging frameworks (LangChain LangGraph Semantic KernelAutoGen MCP) and recommend where they fit or dont fit within Vanguards M365-first strategy.

• Bring an opinion. We expect this engineer to challenge the Microsoft default when a better pattern exists elsewhere and to defend the Microsoft choice when it is the right one.

Governance Security & Compliance

• Partner with the 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 (Entraapp registrations managed identities service principals OKTA federation).

Observability & Operations

• 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.

Integration & Interoperability

• Integrate Copilot and custom agents with Vanguard knowledge sources ConfluenceJira ServiceNow SharePoint Exchange Teams OneDrive using approved connectors and Graph APIs.

• Work with Identity engineering to align agent authentication withEntraID and OKTA.

• Coordinate with Data Cloud and Security domain teams on third-party data integration patterns.

Tier 3 Escalation & Expert Support

• 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.

Innovation & Strategic Oversight

• 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.

Required Qualifications and Skills

• 8 years of 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.

• Strong 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 withEntraID (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.

• Bachelors degree in Computer Science Engineering or equivalent practical experience.

Preferred Attributes

• Familiarity with Model Context Protocol (MCP) declarative agents and the broader emergingagent-interopstandards.

• Experience with Confluence andJiraindexing / 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.