State Street
GHR AI Engineer – Agentic Integrations (MCP / A2A / Python / APIs) AVP
Princeton, New Jersey
Sponsorship not specified$90k-$158kDetected 22 hours ago
PythonReactBackend DevelopmentVector DatabasesRESTOAuthLLMsRAGAgentic AIAgileAuditingTest AutomationManual TestingCommunicationCollaboration
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odds of building a lasting career here
54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role78
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- 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.
- 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).
Responsibilities
- 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.
- Implement safe, reliable request routing patterns (timeouts, retries, circuit breakers, fallbacks) and error-handling standards.
- Develop lightweight Python services that broker requests between the React intranet and agent runtimes/tools.
- Build and maintain REST APIs (and/or async workers) that support agent workflows, tool execution, and structured responses back to the UI.
- Support data shaping and transformation (JSON, schemas, normalization) to make multi-source responses usable for employee-facing experiences.
- Assist in implementing retrieval/grounding patterns (document ingestion, chunking, embeddings, retrieval, citations) for intranet use cases.
- Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability.
- Implement least-privilege access for tools and connectors, secure secrets management, and strong logging/audit trails for tool invocation.
Requirements
- Practical experience with APIs (REST), JSON/schema-driven payloads, and common auth patterns (OAuth/OIDC, token handling).
- 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.
Compensation
- $90,000 - $157,500 Annual
- incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans)
Company info
- We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
- We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential.
Visa & Work Authorization
- gin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military a
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This listing is sourced directly from State Street's careers page and normalized into a canonical job model.