State Street
GHRAIEngineer–AgenticIntegrations(MCP/A2A/Python/APIs)AVP
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“GHR AI Engineer – Agentic Integrations (MCP / A2A / Python / APIs) AVP at State Street. Skills: Agentic Integration Engineering, MCP, A2A, Python, APIs. Build and integrate employee-facing AI capabilities. Connect React intranet experience to internal AI services and external vendor agents”
What You'll Achieve.
Deliver secure, scalable AI integrations that improve employee experience
Industry & Context.
Troubleshooting skills; Ability to build reliable integrations in complex enterprise environments
What They're Looking For.
Must Have
3–5 years of hands-on software engineering experience, Python development skills, Practical experience with APIs (REST), JSON/schema-driven payloads, common auth patterns (OAuth/OIDC, token handling), Familiarity with agentic concepts: tool/function calling, structured outputs, multi-step orchestration, and safe execution patterns, troubleshooting skills, ability to build reliable integrations in complex enterprise environments, Excellent communication skills, ability to partner with both technical and non-technical stakeholders
Nice to Have
Experience with MCP and/or agent-to-agent communication patterns, Experience with RAG, understanding of evaluation and quality testing for LLM systems, Experience with event-driven patterns (queues, async processing), modern observability tooling, Exposure to Microsoft 365 ecosystem integrations, employee intranet platforms, GHR / HR domain experience (employee lifecycle, HR operations, HR knowledge/content)
What You'll Do.
Build and integrate employee-facing AI capabilities
Connect React intranet experience to internal AI services and external vendor agents
Build the integration layer for agentic systems: Python services
and secure runtime patterns
Build and maintain MCP-based connectors
Expose internal tools and data sources to AI agents
Implement agent-to-agent interaction patterns
Define tool contracts (schemas
and compatibility practices
Integrate intranet and internal platforms with enterprise AI gateway and approved LLM/agent runtimes
Connect to external vendors
Enforce authentication
and auditing requirements
reliable request routing patterns (timeouts
Implement error-handling standards
Develop lightweight Python services
Broker requests between React intranet and agent runtimes/tools
Build and maintain REST APIs (and/or async workers)
Support agent workflows
and structured responses back to the UI
Support data shaping and transformation (JSON
Assist in implementing retrieval/grounding patterns (document ingestion
Integrate knowledge sources (policies
Implement least-privilege access for tools and connectors
Secure secrets management
Logging/audit trails for tool invocation
Harden integrations against prompt injection and tool misuse
Add confirmation steps for sensitive actions
Validation of tool inputs
Content safety checks
Ensure solutions meet enterprise standards and are audit-ready
Instrument services with logging
Support monitoring dashboards and alerting
Contribute to test automation
Support production triage and continuous improvement after releases
How You'll Work.
Team & Collaboration
Partner closely with front-end engineers, solution architects, cybersecurity, and platform teams; Work closely with the React intranet team to define API contracts and deliver features end-to-end; Partner with Cybersecurity and Risk teams; Communicate progress/risks effectively; Participate in Agile ceremonies
Communication Scope
Excellent communication skills; Communicate progress/risks effectively
Process & Methodology
Agile ceremonies, Deliver incremental value in short cycles
Full Job Description
GHR AI Engineer – Agentic Integrations (MCP / A2A / Python / APIs) Corporate Functions Technology Reports to: Managing Director, Corporate Functions Technology Role Overview The GHR AI Engineer – Agentic Integrations will help build and integrate employee-facing AI capabilities by connecting a custom React intranet experience to internal AI services and to external vendor agents. This is a hands-on engineering role focused on building the “integration layer” for agentic systems: Python services, APIs, connectors, tool definitions, and secure runtime patterns that allow agents to take actions and retrieve knowledge safely. The ideal candidate has strong Python fundamentals, comfort with APIs and authentication, and practical experience with Model Context Protocol (MCP) and agent-to-agent collaboration patterns. You will partner closely with front-end engineers, solution architects, cybersecurity, and platform teams to deliver secure, scalable AI integrations that improve employee experience (with GHR/HR domain knowledge as a plus). Key Responsibilities Agentic Integration Engineering (MCP + A2A) • Build and maintain MCP-based connectors that expose internal tools and data sources to AI agents in a consistent, secure way (tools/resources/prompts). • Implement agent-to-agent interaction patterns for multi-step workflows where agents coordinate across internal systems and external vendor agents. • Define tool contracts (schemas, parameters, outputs), versioning, and compatibility practices for long-term maintainability. Internal AI Gateway & Vendor Agent Connectivity • Integrate your intranet and internal platforms with the enterprise AI gateway and approved LLM/agent runtimes. • Connect to external vendors that provide agents or agent-accessible capabilities (via MCP or API-based tool calling) while enforcing authentication, authorization, and auditing requirements. • Implement safe, reliable request routing patterns (timeouts, retries, circuit breakers, fallbacks) and
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