Principal Agentic AI Engineering, VP - State Street Investment Management

State Street•Boston, MA

10d•$120,000 - $202,500

About The Position

State Street Investment Management’s Data, Analytics & AI Services (DAAIS) team is seeking an Agentic AI Engineering Principal, Vice President. The role owns the design and engineering of a modern AI ecosystem and its agentic AI capabilities in support of the Investment Management business. It requires hands-on expertise in agentic architecture, workflow design, AI agent implementation, protocol integration, and containerized services, together with engineering leadership experience. The position leads an agile engineering team, partners with global stakeholders, and develops junior engineers. It designs and implements agentic AI capabilities and supporting governance, including agent registration, security, observability, and monitoring. The role also leads decisions and delivery across architecture patterns, engineering practices, frameworks, tools, development, integration, and deployment. The salary range is $120,000–$202,500 annually for the primary location. Employees may participate in a comprehensive benefits program that includes retirement savings with company matching, insurance coverage, paid time off, an Employee Assistance Program, incentive compensation eligibility, and certain tax-advantaged savings plans. State Street also describes inclusive development opportunities, flexible work-life support, paid volunteer days, and employee networks.

Requirements

Bachelor’s degree in Computer Science or a related engineering discipline.
10+ years of technology experience in financial services, including senior-level engineering leadership.
Hands-on experience designing and implementing multi-agent workflows, including human-in-the-loop command center patterns and/or autonomous agentic workflows.
Hands-on experience designing and implementing open-architecture AI platforms supporting ML/DL, generative AI, and agentic AI.
Experience designing and implementing enterprise agentic infrastructure pipelines using cloud-agnostic approaches across major providers such as GCP, AWS, or Azure.
Proficiency with modern AI platforms such as Google Gemini Enterprise or AWS Bedrock, and programming languages such as Python, SQL, or Rust.
Familiarity with AI-assisted development tools such as Anthropic Code, GitHub Copilot, or Codex.
4+ years of experience working with unstructured data sources such as sales notes, 13F filings, news, or social media.
Excellent written and verbal communication skills, with the ability to influence and align stakeholders across geographies.
Ability to deliver results with strong attention to detail, sound judgment, and a direct, constructive approach.

Nice To Haves

Experience serving as an Agentic Engineer within a financial institution.
Experience implementing patterns and tooling for unstructured data.
Experience with Google Gemini Enterprise and Vertex AI is preferred.

Responsibilities

Lead an agile agentic AI engineering team to deliver scalable solutions that meet evolving business and client needs.
Partner with global stakeholders to execute cross-border initiatives and strengthen engineering standards and best practices.
Coach and mentor junior agentic engineers, fostering continuous learning, accountability, and high performance.
Design agentic solutions and implementations, including agent workflows, agent enablement across platform components, and governance for registration, security, observability, and monitoring.
Design and lead implementation of agentic AI capabilities, including architecture patterns, best practices, framework and tool selection, development, integration, and deployment.

Benefits

401(k) retirement savings plan with company match.
Insurance coverage including basic life, medical, dental, vision, long-term disability, and optional additional coverages.
Paid time off, including vacation, sick leave, short-term disability, and leave for family care responsibilities.
Access to an Employee Assistance Program.
Eligibility for annual performance-based incentive awards, subject to stated exclusions and plan conditions.
Eligibility for certain tax-advantaged savings plans.
Inclusive development opportunities.
Flexible work-life support.
Paid volunteer days.
Employee networks.