Principal Agentic AI Engineering, VP - State Street Investment Management

State Street•Boston, MA

12d•$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. This role owns the design and engineering of a modern AI ecosystem and its agentic AI capabilities supporting the Investment Management business. The position requires hands-on expertise in agentic architecture, workflow design, AI agent implementation, protocol integration, and containerized services, along with proven leadership experience. The role leads an agile engineering team, partners with global stakeholders, and develops team capability through coaching and mentorship. It designs agentic solutions and implementation approaches, including agent workflows, platform-wide agent enablement, and governance for registration, security, observability, and monitoring. It also leads the design and implementation of agentic AI capabilities, including architecture patterns, best practices, framework and tool selection, development, integration, and deployment.

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 modern, open-architecture AI platforms supporting ML/DL, GenAI, and agentic AI.
Extensive experience designing and implementing enterprise agentic infrastructure pipelines using cloud-agnostic approaches across major providers such as GCP, AWS, and Azure.
Proficiency with modern AI platforms such as Google Gemini Enterprise and AWS Bedrock, and programming languages such as Python, SQL, and Rust.
Familiarity with AI-assisted development tools such as Anthropic Code, GitHub Copilot, and Codex.
4+ years of experience working with unstructured data sources such as sales notes, 13F filings, news, and social media.
Excellent written and verbal communication skills, including 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

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

Responsibilities

Lead an agile agentic AI engineering team in delivering 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 AI agent 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

Retirement savings plan (401K) 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 family-care responsibilities.
Access to the Employee Assistance Program.
Incentive compensation, including eligibility for annual performance-based awards, with certain sales-role exceptions.
Eligibility for certain tax-advantaged savings plans.
Inclusive development opportunities.
Flexible work-life support.
Paid volunteer days.
Employee networks.