Senior Associate Agentic Product Builder

State Street

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Boston, MA
Posted: 23 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $195k

$145k most similar roles pay here $243k

This listing doesn't post a salary. Most similar roles pay $157,212–$233,674.

Based on 239 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 176 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 172 roles with salary data.

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At a glance

TL;DR · Senior Associate Agentic Product Builder

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Agentic Product Builder, Sr. Associate - State Street Investment Management joins the Data, Analytics and AI Services team to design, prototype, and implement AI-enabled business workflows across investment management functions. This builder-oriented role involves translating complex business processes into practical agentic AI solutions while adhering to strict governance, risk, and control standards. The individual will develop multi-agent workflows and semi-autonomous systems using large language models, prompt engineering techniques, and various agent frameworks. Day-to-day tasks include collaborating with stakeholders to identify pain points, testing model performance, and optimizing for token costs. Required technical skills include proficiency in Python and SQL, alongside experience with tools like GitHub Copilot, Claude Code, Google Gemini Enterprise, and AWS Bedrock. The role focuses on solving the challenge of automating workflows within a regulated enterprise environment while ensuring responsible AI adoption through human-in-the-loop controls.

Skills

Agentic AI Generative AI Prompt Engineering Python SQL Large Language Models AWS Bedrock GitHub Copilot Claude Code Google Gemini Enterprise Workflow Automation AI Governance Responsible AI Multi-agent Workflows

What you'll do

Translate business processes into practical, scalable agentic AI solutions.
Design and build AI agents, multi-agent workflows, and semi-autonomous systems.
Prototype, test, and implement AI-enabled workflows for investment, product, client, and finance functions.
Implement human-in-the-loop controls, monitoring, and performance measurement to ensure safe AI adoption.
Utilize prompt engineering, agentic frameworks, and modern IDEs to accelerate development.
Perform model testing, validation, token optimization, and documentation for responsible AI governance.
Integrate data sources and develop prototypes using Python and SQL.

What we're looking for

Bachelor’s degree in computer science, engineering, data science, mathematics, or a related quantitative or technical discipline.
Strong engineering foundation with the ability to translate ambiguous business problems into working technical solutions.
Hands-on interest or experience with generative AI, agentic AI, prompt engineering, and workflow automation.
Familiarity with modern AI tools including LLMs, agent frameworks, AI-enabled IDEs, and platforms like AWS Bedrock.
Programming experience in Python, SQL, or comparable languages to develop prototypes and integrate data sources.
Awareness of AI governance, responsible AI, data controls, model risk, and security in a regulated environment.
Curiosity and an ownership mindset to learn new tools, frameworks, and business domains quickly.

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