Agentic AI Builder, Officer - State Street Investment Management

State Street•Boston, MA

12d•$70,000 - $118,750

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 involves learning and experimenting with modern agentic AI tools and translating business processes into practical solutions under strong governance, risk, and control standards. The role uses agentic AI tools, frameworks, IDEs, large language models, prompt engineering techniques, 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 position collaborates with business stakeholders, AI product managers, data engineers, platform teams, and control partners to deliver high-impact AI workflow automation safely and measurably. Employees are eligible to participate in State Street’s comprehensive benefits program, including a retirement savings plan with company match, insurance coverage, paid time off, access to an Employee Assistance Program, incentive compensation eligibility, and certain tax-advantaged savings plans.

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, including developing prototypes, integrating data sources, testing workflows, and collaborating 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 business workflows, pain points, decision processes, and measurable outcomes.
Rapidly prototype, test, and implement agentic AI workflows that translate business processes into practical, scalable AI-enabled solutions.
Design and build AI agents, multi-agent workflows, and semi-autonomous systems using 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 modern 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
Basic life, medical, dental, vision, long-term disability, and optional insurance coverage
Paid time off, including vacation, sick leave, short-term disability, and family care responsibilities
Employee Assistance Program
Eligibility for annual performance-based incentive awards, excluding 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