AVP AI Engineer - Agentic Integrations

State Street

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Princeton, NJ
Salary
$90,000–$157,500 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $190k
This role $124k
$73k most similar roles pay here $247k

This role pays less than 93% of similar roles. Most pay $150,625–$230,100 — the shaded band above. At the midpoint, this role pays about $124k versus about $190k for comparable roles.

Based on 240 similar postings.

Employer

About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 266 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 190 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · AVP AI Engineer - Agentic Integrations

GHR AI Engineer – Agentic Integrations (MCP / A2A / Python / APIs) AVP joins the Corporate Functions Technology team to build and integrate employee-facing AI capabilities. This hands-on engineering role focuses on developing an integration layer for agentic systems, including Python services, REST APIs, and secure runtime patterns. The engineer will build MCP-based connectors, implement agent-to-agent interaction patterns, and manage tool definitions to connect a React intranet experience with internal AI gateways and external vendor agents. Key responsibilities include data shaping using JSON, implementing retrieval and grounding patterns for HR content, and ensuring security through least-privilege access and audit trails. The role requires proficiency in Python, API authentication, Model Context Protocol, and multi-step orchestration. The position addresses the technical challenge of creating safe, scalable AI integrations that allow agents to retrieve knowledge and perform actions within a corporate environment.

What does a AI Engineer earn?

Median $211200 from 121 postings across 34 companies.

See salary data

What you'll do

  • Build and maintain MCP-based connectors to expose internal tools and data sources to AI agents.
  • Implement agent-to-agent interaction patterns for multi-step workflows across internal systems and external vendor agents.
  • Develop Python services and REST APIs to broker requests between the React intranet and agent runtimes.
  • Integrate internal platforms with enterprise AI gateways while enforcing authentication, authorization, and auditing requirements.
  • Implement retrieval and grounding patterns for document ingestion, chunking, and embedding of HR content.
  • Engineer secure integration patterns including least-privilege access, secret management, and protections against prompt injection.
  • Instrument services with logging, metrics, and traces to support monitoring and production triage.
  • Create technical documentation including tool specifications, runbooks, and integration diagrams for internal stakeholders.

What we're looking for

  • 3–5 years of hands-on software engineering experience with strong Python development skills.
  • Practical experience with REST APIs, JSON/schema-driven payloads, and common authentication patterns like OAuth or OIDC.
  • Familiarity with agentic concepts including tool calling, structured outputs, multi-step orchestration, and safe execution patterns.
  • Experience with MCP and/or agent-to-agent communication patterns (preferred).
  • Experience with RAG, vector databases, and LLM system evaluation (preferred).
  • Experience with event-driven patterns, modern observability tooling, or Microsoft 365 integrations (preferred).
  • GHR or HR domain knowledge regarding employee lifecycle and operations (preferred).

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