Agentic AI Engineer, Vice President

State Street

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Quincy, MABoston, MAPrinceton, NJAustin, TX
Salary
$120,000–$217,500 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $213k
This role $169k
$103k $282k
below market most similar roles pay here above market

This role pays less than 70% of similar roles. Most pay $162,000–$264,750 — the blue band above. At the midpoint, this role pays about $169k versus about $213k 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 345 open roles on FindRole.

Listed pay typically runs $110,000–$188,750 across 164 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · Agentic AI Engineer, Vice President

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 a scalable, resilient platform across AWS, Google Cloud, and Azure, focusing on reliability and cost optimization. Key responsibilities include establishing organizational standards for A2A protocols, HITL, and runtime security. The role requires proficiency in Python and experience with languages like Java, Go, or C++. Candidates must leverage frameworks such as LangChain, Langraph, and GoogleADK to solve complex problems regarding multi-cloud scalability, compliance, and risk management for enterprise-grade agentic AI workloads.

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 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 in a related field (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 additional 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.
  • Expertise in compliance, risk management, and performance oversight for enterprise AI solutions.

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