Senior AI Engineer, Platform Engineering

The Hartford

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Hartford, CTCharlotte, NCColumbus, OHChicago, IL
Salary
$127,600–$191,400 / yr
Posted
42 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k
This role $160k
$102k most similar roles pay here $239k

This role pays less than 60% of similar roles. Most pay $151,000–$215,750 — the shaded band above. At the midpoint, this role pays about $160k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About The Hartford

The Hartford is a leading provider of property and casualty insurance, group benefits, and mutual funds, serving businesses and individuals across the United States. Industry: Insurance & Financial Services

The Hartford currently has 45 open roles on FindRole.

Listed pay typically runs $127,600–$191,400 across 37 roles with salary data.

Most-posted roles

View all roles at The Hartford

At a glance

TL;DR · Senior AI Engineer, Platform Engineering

Sr AI Engineer - Platform Engineering joins the team to architect, build, and operationalize advanced multi-agent solutions and production-grade Agentic AI systems. The role involves developing agent harnesses for execution loops, tool orchestration, and guardrail enforcement while building RAG and GraphRAG pipelines. You will create reusable frameworks and APIs to enable enterprise adoption of AI through secure, scalable platform capabilities. Key technologies include Python, TypeScript, Terraform, and GCP services like Vertex AI, Cloud Run, and AlloyDB. You will utilize LangChain, LangGraph, Google ADK, and Anthropic MCP to manage agent memory and session states. Additionally, you will employ spec-driven development frameworks such as GitHub Spec-Kit, OpenSpec, and BMAD-METHOD to translate product intent into executable specifications. The work focuses on solving complex problems in retrieval systems, vector indexing, and secure distributed system design within a corporate environment.

What does a AI Engineer earn?

Median $211200 from 132 postings across 36 companies.

See salary data

What you'll do

  • Design and deliver production-grade Agentic AI systems using Google ADK, LangGraph, and LangChain.
  • Build agent harnesses to manage execution loops, tool orchestration, sub-agent delegation, and guardrail enforcement.
  • Develop advanced RAG and GraphRAG pipelines with vector retrieval systems and knowledge-graph reasoning.
  • Implement MCP-compliant agents featuring secure tool invocation, memory storage, and session state management.
  • Utilize AlloyDB and PostgreSQL to manage vector indexing, agent memory persistence, and structured context layers.
  • Execute spec-driven development using frameworks like GitHub Spec-Kit and OpenSpec to translate intent into executable plans.
  • Build scalable AI microservices and infrastructure using Python, TypeScript, Terraform, and GCP services.
  • Implement enterprise-grade security measures including IAM roles, OAuth flows, and robust session isolation.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 6–8 years of experience in software engineering.
  • At least 2 years of experience in GenAI, multi-agent, or LLM systems.
  • Proven delivery of at least one production-grade AI or Agentic system involving RAG or GraphRAG.
  • Proficiency in Python and/or TypeScript with strong fundamentals in cloud infrastructure and IaC using Terraform.
  • Expertise in LangChain, LangGraph, Google ADK, and MCP protocols for agent orchestration and memory management.
  • Hands-on experience with AlloyDB (vector indexing) and PostgreSQL/Postgres RDS for retrieval systems.
  • Authorized to work in the US without company sponsorship.

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