Agentic AI Builder, Officer - State Street Investment Management

State Street•Boston, MA

10d

About The Position

State Street Investment Management’s Data, Analytics and AI Services team is seeking an Agentic AI Builder to design, prototype, and implement AI-enabled business workflows across the investment management organization. This builder-oriented role focuses on learning and experimentation, quickly translating business processes into practical agentic AI solutions while adhering to strong governance, risk, and control standards. The role uses modern agentic AI tools and frameworks, IDEs, large language models, prompt engineering, and reusable skills or tools to iterate quickly, validate business value, and scale responsible AI capabilities across investment, product, client, finance, and operations functions. The successful candidate works with business stakeholders, AI product managers, data engineers, platform teams, and control partners to deliver high-impact AI workflow automation safely, measurably, and under appropriate controls.

Requirements

Bachelor’s degree in computer science, engineering, data science, mathematics, or a related quantitative or technical discipline.
Strong engineering foundation and demonstrated ability to build, experiment, learn quickly, and translate ambiguous business problems into working technical solutions.
Hands-on interest or experience with generative AI, agentic AI, prompt engineering, AI-assisted development, workflow automation, or adjacent software engineering practices.
Familiarity with modern AI tools and platforms such as large language models, agent frameworks, AI-enabled IDEs, GitHub Copilot, Claude Code, Google Gemini Enterprise, AWS Bedrock, or similar technologies.
Programming experience in Python, SQL, or comparable languages, with the ability to develop prototypes, integrate data sources, test workflows, and collaborate with engineering teams.
Awareness of AI governance, responsible AI, data controls, model risk, security, auditability, and operational resiliency in a regulated enterprise environment.
Curiosity, ownership mindset, and a strong desire to grow into a future-forward AI engineer who can learn new tools, frameworks, and business domains quickly.

Responsibilities

Partner with business stakeholders and AI product managers to understand workflows, pain points, decision processes, and measurable outcomes.
Rapidly prototype, test, and implement scalable agentic AI workflows that translate business processes into practical solutions.
Design and build AI agents, multi-agent workflows, and semi-autonomous systems operating on approved data products, semantic layers, and enterprise AI platforms.
Implement human-in-the-loop and human-on-the-loop controls, monitoring, alerting, escalation paths, and performance measurement.
Use AI-assisted development tools, agentic frameworks, IDEs, prompt engineering methods, and reusable skills or tool libraries to accelerate delivery and business validation.
Support model and agent testing, validation, performance metrics, token and cost optimization, documentation, and responsible AI governance practices.

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 family-care responsibilities
Employee Assistance Program
Eligibility for annual performance-based incentive awards, except certain sales roles subject to sales incentive plans
Eligibility for certain tax-advantaged savings plans
Inclusive development opportunities
Flexible work-life support
Paid volunteer days
Employee networks