GHR AI Engineer – Agentic Integrations (MCP / A2A / Python / APIs) AVP

State Street; Princeton (NJ); On-site; USD 90,000 - 158,000; Full time

Benefits offered by this job

401K with company match

Medical, dental, vision insurance

Paid time off

Employee Assistance Program

Job summary

State Street is seeking an GHR AI Engineer to build integration layers connecting a React intranet with internal AI services and external vendor agents. You will craft MCP-based connectors and secure runtimes, enabling agentful workflows and safe tool execution.

You will collaborate with frontend, security, and platform teams to deliver scalable, auditable AI integrations, leveraging Python, APIs, and established authentication patterns.

Qualifications

• 3–5 years of hands-on software engineering experience with strong Python development skills.
• Experience designing and consuming REST APIs, JSON payloads, and authentication patterns (OAuth/OIDC).
• Familiarity with MCP and agent-to-agent communication patterns preferred.

Responsibilities

• Build MCP-based connectors exposing internal tools to AI agents.
• Implement agent-to-agent interaction for multi-step workflows.
• Develop Python services and REST APIs to broker requests between frontend and agent runtimes.

Skills

Python development

APIs

OAuth/OIDC

MCP

Agent-to-agent patterns

Tools

REST APIs

JSON

OAuth/OIDC

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 error-handling standards.

API & Backend Development (Python)

• 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.

Grounding, Retrieval & Knowledge Enablement (as needed)

• Assist in implementing retrieval/grounding patterns (document ingestion, chunking, embeddings, retrieval, citations) for intranet use cases.
• Integrate knowledge sources (policies, HR content, FAQs, service catalogs) while respecting access controls and data classification requirements.

Security, Compliance & Safe‑by‑Design Engineering

• Implement least‑privilege access for tools and connectors, secure secrets management, and strong logging/audit trails for tool invocation.
• Help harden integrations against prompt injection and tool misuse by adding confirmation steps for sensitive actions, validation of tool inputs, and content safety checks.
• Partner with Cybersecurity and Risk teams to ensure solutions meet enterprise standards and are audit‑ready.

Observability, Testing & Operations

• Instrument services with logging, metrics, and traces; support monitoring dashboards and alerting.
• Contribute to test automation (unit/integration), regression testing for tool definitions, and release readiness practices.
• Support production triage and continuous improvement after releases.

Collaboration & Communication

• Work closely with the React intranet team to define API contracts and deliver features end‑to‑end.
• Produce clear documentation (tool specs, runbooks, integration diagrams) and communicate progress/risks effectively.
• Participate in Agile ceremonies and deliver incremental value in short cycles.

Experience & Competencies

• 3–5 years of hands‑on software engineering experience, with strong Python development skills.
• Practical experience with APIs (REST), JSON/schema-driven payloads, and common auth patterns (OAuth/OIDC, token handling).
• Familiarity with agentic concepts: tool/function calling, structured outputs, multi-step orchestration, and safe execution patterns.
• Experience with MCP and/or agent-to-agent communication patterns strongly preferred.
• Strong troubleshooting skills and ability to build reliable integrations in complex enterprise environments.
• Excellent communication skills and ability to partner with both technical and non‑technical stakeholders.

Preferred / Nice To Have

• Experience with RAG and vector databases; understanding of evaluation and quality testing for LLM systems.
• Experience with event‑driven patterns (queues, async processing) and modern observability tooling.
• Exposure to Microsoft 365 ecosystem integrations and employee intranet platforms.
• GHR / HR domain experience (employee lifecycle, HR operations, HR knowledge/content) is a plus.

Salary Range

$90,000 - $157,500 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street’s comprehensive benefits program, which includes:

• our retirement savings plan (401K) with company match
• insurance coverage including basic life, medical, dental, vision, long‑term disability, and other optional additional coverages
• paid‑time off including vacation, sick leave, short term disability, and family care responsibilities
• access to our Employee Assistance Program
• incentive compensation including eligibility for annual performance‑based awards (excluding certain sales roles subject to sales incentive plans)
• and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. 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. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work‑life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, 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 and veteran status, and other characteristics protected by applicable law.

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It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Job ID: R-790375