Associate Principal, Artificial Intelligence Engineering

The OCC

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, IL
Salary
$127,900–$176,800 / yr
Employment
Full-time
Posted
71 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $152k
$110k $292k
below market most similar roles pay here above market

This role pays less than 91% of similar roles. Most pay $169,350–$229,343 — the blue band above. At the midpoint, this role pays about $152k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About The OCC

The OCC (Options Clearing Corporation) is the world''s largest equity derivatives clearing organization, acting as issuer and guarantor for options and futures contracts to promote stability and market integrity. Industry: Financial Clearing & Derivatives

The OCC currently has 39 open roles on FindRole.

Listed pay typically runs $123,100–$181,050 across 28 roles with salary data.

Most-posted roles

View all roles at The OCC

At a glance

TL;DR · Associate Principal, Artificial Intelligence Engineering

The Associate Principal, Artificial Intelligence Engineering joins the AI Research & Engineering team to build the company's first generation of agentic AI capabilities. This role involves owning the end-to-end design, architecture, and production deployment of agentic AI systems within a regulated environment. Key responsibilities include architecting agent orchestration patterns, building evaluation pipelines, and implementing technical safeguards against hallucinations and prompt injections. The candidate will manage AI infrastructure on AWS, develop audit logging, and mentor junior engineers. Required technical skills include Python, SQL, distributed systems, and API design, alongside experience building LLM-powered applications. Preferred expertise includes Anthropic's Claude, Docker, Kubernetes, Terraform, and Model Context Protocol integrations. The work focuses on solving complex AI infrastructure and application challenges while ensuring traceability and reliability in a highly regulated financial services context.

What you'll do

  • Own the end-to-end design and delivery of agentic AI systems from architecture to production deployment.
  • Architect agent orchestration patterns, tool integrations, and evaluation pipelines for reliability in a regulated environment.
  • Manage AI infrastructure on AWS to support agents and applications while increasing team self-sufficiency.
  • Implement technical safeguards against hallucinations, prompt injections, and other AI-specific risks.
  • Build audit logging and human-in-the-loop checkpoints into agentic workflows to ensure traceability.
  • Mentor junior engineers through regular code and architecture reviews.
  • Contribute technical viewpoints to the team's evolving engineering standards and practices.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, or a related technical field; Master's preferred.
  • 4-7 years of software engineering experience.
  • Strong Python, proficient SQL, and solid distributed systems and API design fundamentals.
  • Hands-on experience building LLM-powered applications or agentic systems.
  • Working knowledge of AI-specific risk areas or demonstrated ability to build this expertise quickly.
  • Cloud infrastructure experience (AWS preferred) with comfort in Docker, CI/CD, and containerization.
  • Experience mentoring or elevating the work of junior engineers.
  • Demonstrated ownership of production systems from design through deployment.

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