Agentic AI Builder, Officer

State Street

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Boston, MA
Salary
$70,000–$118,750 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $94k
$48k $279k
below market most similar roles pay here above market

This role pays less than 99% of similar roles. Most pay $167,500–$246,150 — the blue band above. At the midpoint, this role pays about $94k versus about $207k for comparable roles.

Based on 240 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 341 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 185 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · Agentic AI Builder, Officer

The Agentic AI Builder, Officer joins the Data, Analytics and AI Services team to design, prototype, and implement AI-enabled business workflows across the investment management organization. This builder-oriented role involves translating business processes into practical agentic AI solutions while adhering to strict governance, risk, and control standards. The successful candidate will build AI agents, multi-agent workflows, and semi-autonomous systems that operate on approved data products and semantic layers. Key responsibilities include implementing human-in-the-loop controls, monitoring performance metrics, and optimizing token costs. Required technical skills include Python, SQL, prompt engineering, and experience with large language models, agent frameworks, and platforms like AWS Bedrock, GitHub Copilot, and Google Gemini Enterprise. The role solves the challenge of automating complex workflows within investment, product, client, finance, and operations functions.

What you'll do

  • Translate business processes into practical, scalable agentic AI workflows and solutions.
  • Design and build AI agents, multi-agent workflows, and semi-autonomous systems on enterprise platforms.
  • Prototype and test AI-enabled business workflows to validate measurable business value.
  • Implement human-in-the-loop controls, monitoring, alerting, and performance measurement for safe AI adoption.
  • Use modern AI frameworks, IDEs, and prompt engineering techniques to accelerate development.
  • Support model testing, token and cost optimization, and responsible AI governance practices.
  • 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, AI-assisted development, or workflow automation.
  • Familiarity with modern AI tools including large language models, agent frameworks, AI-enabled IDEs, GitHub Copilot, Claude Code, or 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, security, and auditability in a regulated enterprise environment.
  • Curiosity and an ownership mindset to learn new tools, frameworks, and business domains quickly.

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