Principal AI Engineer - Agent Ops / SRE

The Hartford

Remote Hybrid

Quick summary

Work type
Remote
Location
Hartford, CTColumbus, OHCharlotte, NCChicago, IL
Salary
$168,400–$220,000 / yr
Posted
4 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k
This role $194k
$159k most similar roles pay here $259k

This role pays less than 61% of similar roles. Most pay $168,262–$246,150 — the shaded band above. At the midpoint, this role pays about $194k versus about $207k 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 61 open roles on FindRole.

Listed pay typically runs $131,600–$191,400 across 61 roles with salary data.

Most-posted roles

View all roles at The Hartford

At a glance

TL;DR · Principal AI Engineer - Agent Ops / SRE

The Hartford’s applied AI COE Team is seeking a Principal AI Engineer to drive efficiency across the AI delivery lifecycle by applying strong software and systems engineering practices. This senior individual contributor role involves partnering with data scientists and AI solution engineers to build, deploy, and maintain AI-COE products, ensuring reliability and uptime. The engineer will work closely with AI platform, Cloud Engineering, Security, and Enterprise SRE teams using their standards and tooling to deploy and maintain solutions. Responsibilities include designing scalable fault-tolerant systems, implementing CI/CD pipelines, automating deployments, and managing production systems to meet enterprise SLOs. Required skills include Python programming, Terraform experience, observability tools like Dynatrace and Splunk, and a strong background in DevOps, MLOps, AgentOps, and SRE. Experience with AI observability tools, cloud providers such as GCP or AWS, and LLM orchestration frameworks is highly valued.

What you'll do

  • Ensure AI systems meet performance, latency, throughput, resiliency, and reliability standards.
  • Design and maintain scalable, fault-tolerant AI systems in collaboration with AI engineers and architects.
  • Implement CICD, GITOps, and IAC modules using AgentOps NSA and enterprise tooling.
  • Build standardized deployment templates, automation scripts, and operational runbooks for AI workloads.
  • Manage production systems to meet enterprise SLOs and handle incident responses effectively.

What we're looking for

  • 10+ years of experience building and shipping software/platform solutions for enterprises.
  • Strong programming skills in Python and extensive experience with IAC (Terraform).
  • Proven ownership of production CICD, GitOps, and release management gating processes.
  • Expertise in implementing observability, performance, and reliability solutions including SLOs and alert tuning.
  • Experience with AI observability/monitoring tools such as Dynatrace, Splunk, Arize & OpenTelemetry/OpenInference.
  • Foundational knowledge of Natural Language Processing and Deep Learning.

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