AVP AI Developer

State Street

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Burlington, MA
Salary
$90,000–$157,500 / yr
Posted
86 days ago
Freshness
Confirmed live 2 days ago
Closes
Oct 5, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $185k
This role $124k
$74k most similar roles pay here $241k

This role pays less than 89% of similar roles. Most pay $149,331–$220,925 — the shaded band above. At the midpoint, this role pays about $124k versus about $185k 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 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 · AVP AI Developer

AI Developer, AVP The AI Developer, AVP joins the team to advance AI-enabled capabilities across the Charles River Investment Management Solution and Alpha Platform. This role focuses on designing, building, and scaling production-grade systems, including copilots, agentic workflows, and automation services integrated into investment management processes. You will develop LLM-based solutions using orchestration frameworks, implement RAG pipelines with vector databases, and build multi-agent systems utilizing MCP servers and API management layers. The role requires expertise in Python and additional languages like Java, C#, or TypeScript, alongside experience with cloud platforms such as Azure, Kafka, and Redis. You will solve complex problems by embedding AI into front-to-back workflows to improve productivity and decision-making. Key technical requirements include proficiency in prompt engineering, distributed systems, and responsible AI practices including security, explainability, and compliance within the investment management domain.

What you'll do

  • Design, develop, and deploy AI-powered services including copilots, agentic workflows, and automation tools.
  • Build and integrate LLM-based solutions using orchestration frameworks and tool-calling patterns.
  • Implement RAG pipelines utilizing enterprise data sources and vector databases.
  • Develop multi-agent systems using MCP servers, APIs, and A2A based tooling.
  • Create reusable AI enablement platforms, SDKs, and shared services for internal product teams.
  • Integrate AI services with cloud platforms and enterprise systems via API management layers.
  • Ensure the performance, scalability, reliability, and observability of production AI models.
  • Apply responsible AI practices including security, explainability, compliance, and governance.

What we're looking for

  • Hold a B.S. or M.S. in Computer Science, Engineering, Mathematics, or a related field.
  • Possess 2–5+ years of software engineering experience focused on building scalable systems.
  • Demonstrate expertise in LLMs, prompt engineering, and AI system design.
  • Experience building production-grade AI applications, including copilots, agentic workflows, and RAG pipelines.
  • Proficiency in Python and at least one other language such as Java, C#, or TypeScript.
  • Experience with cloud platforms (Azure preferred) and distributed architectures like microservices and event streaming.
  • Knowledge of AI governance, model risk management, and security best practices.
  • Familiarity with advanced orchestration patterns, MCP servers, and vector databases.

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