Agentic AI Builder, Officer

State Street

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Boston, MAQuincy, MA
Salary
$70,000–$118,750 / yr
Posted
56 days ago
Freshness
Confirmed live yesterday
Closes
Oct 10, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $94k
$49k most similar roles pay here $268k

This role pays less than 98% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $94k versus about $204k for comparable roles.

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.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · Agentic AI Builder, Officer

Role Posting Log in to save

Agentic AI Builder, Officer - 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 AI agents, multi-agent workflows, and semi-autonomous systems using large language models, prompt engineering techniques, and various agent frameworks. Key responsibilities include implementing human-in-the-loop controls, performing token and cost optimization, and ensuring responsible AI practices. Required technical skills include proficiency in Python and SQL, along with experience with tools like GitHub Copilot, Claude Code, Google Gemini Enterprise, and AWS Bedrock. The role addresses the challenge of automating workflows within a regulated enterprise environment to deliver measurable value across product, client, finance, and operations domains.

Skills

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

What you'll do

  • Translate business processes into practical, scalable agentic AI solutions.
  • Design and build multi-agent workflows and semi-autonomous systems on enterprise platforms.
  • Prototype and test AI-enabled workflows to address specific business pain points.
  • Implement human-in-the-loop controls, monitoring, and performance measurement for safe AI adoption.
  • Utilize prompt engineering, agentic frameworks, and AI-assisted development tools to accelerate delivery.
  • Perform model testing, token and cost 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 field.
  • Strong engineering foundation with the ability to translate ambiguous business problems into technical solutions.
  • Hands-on experience with generative AI, agentic AI, prompt engineering, and workflow automation.
  • Familiarity with LLMs, agent frameworks, AI-enabled IDEs, and platforms like AWS Bedrock or GitHub Copilot.
  • Programming proficiency in Python, SQL, or comparable languages for prototyping and data integration.
  • Knowledge of AI governance, responsible AI practices, and risk management in regulated environments.
  • Ability to develop multi-agent workflows and semi-autonomous systems on enterprise platforms.

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