Agentic AI Engineer, Vice President

State Street

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Quincy, MAPrinceton, NJBoston, MAAustin, TX
Salary
$120,000–$217,500 / yr
Employment
Full-time
Posted
9 days ago
Freshness
Confirmed live today
Closes
Nov 30, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $205k
This role $169k
$105k $264k
below market most similar roles pay here above market

This role pays less than 69% of similar roles. Most pay $162,000–$248,440 — the blue band above. At the midpoint, this role pays about $169k versus about $205k 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 340 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 226 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · Agentic AI Engineer, Vice President

Role Posting Log in to save

The Agentic AI Engineer, Vice President joins the GenAI Center of Excellence to own the strategy and architecture of the enterprise agentic AI platform. This leadership role involves setting the vision for multi-agent orchestration, security, and governance while leading engineering talent across various pods. The successful candidate will build and manage a technology roadmap focused on scalability and resilience across AWS, Google Cloud, and Azure. Key responsibilities include establishing organizational standards for A2A protocols, HITL, and runtime security while driving cost optimization for agentic workloads. Required technical skills include proficiency in Python and experience with languages like Java, Go, or C++. The role utilizes frameworks such as LangChain, Langraph, and GoogleADK to solve complex enterprise problems regarding multi-cloud agentic AI platform adoption.

Skills

Agentic AI Python AWS Google Cloud Azure LangChain GoogleADK Multi-agent Orchestration IAM RBAC Cloud-native Java Go C++ Platform Architecture

What you'll do

  • Own the enterprise agentic platform strategy, architecture, and technology roadmap across AWS, Google Cloud, and Azure.
  • Drive innovation in multi-agent orchestration using frameworks like LangChain, Langraph, and GoogleADK.
  • Set and monitor organizational standards for A2A protocols, HITL, IAM/RBAC, and runtime security.
  • Lead and develop engineering leadership talent across various technical pods.
  • Drive platform-wide reliability, scalability, and cost optimization initiatives for agentic AI workloads.
  • Oversee compliance, risk, and performance reviews for agentic AI across public cloud environments.
  • Partner with Architecture, Data, and Product teams to ensure alignment of the cloud and agentic stack.

What we're looking for

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (advanced degrees preferred).
  • 12–17 years of relevant experience, including leadership of large-scale, multi-agent or AI-driven platforms.
  • Proficiency in Python and familiarity with at least one other modern programming language such as Java, Go, or C++.
  • Proven strategic ownership of platform architecture and technology roadmaps with deep knowledge of agentic AI systems.
  • Extensive hands-on and leadership experience with multi-cloud environments including AWS, Google Cloud, and Azure.
  • Demonstrated success in setting organizational standards for reliability, scalability, and incident management in AI systems.
  • Experience partnering with executive and cross-functional teams on platform strategy and delivery.
  • Expertise in compliance, risk management, and performance oversight for enterprise AI solutions.

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