AI Platform Engineer

The Hartford

Confirmed live yesterday High trust

Remote Hybrid

Quick summary

Work type: Remote
Location: Hartford, CTColumbus, OHCharlotte, NCChicago, IL
Salary: $117,200–$175,800 / yr
Posted: 35 days ago
Freshness: Confirmed live yesterday
Nearby: 79 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $185k

This role $146k

$105k most similar roles pay here $235k

This role pays less than 75% of similar roles. Most pay $147,425–$222,000 — the shaded band above. At the midpoint, this role pays about $146k versus about $185k 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 · AI Platform Engineer

Role Posting Log in to save

AI Platform Engineer (Google Cloud Platform) joins the AI Platform team to build essential AI Operations services, including AIOps, MLOps, FMOps, and LLMOps. This role focuses on developing value-added features beyond standard cloud capabilities while researching and implementing GenAI algorithms and tools. The engineer will architect end-to-end solutions, manage engineering tasks with minimal guidance, and provide technical mentorship to team members. Key responsibilities include enhancing platform functionality through expertise in Agentic Frameworks and modern data technologies. Required skills include Python, Terraform, and extensive experience with Google Cloud Platform, specifically BigQuery, Cloud Functions, AI Platform, API Gateway, and GKE/Docker. Additional competencies involve CI/CD pipelines, serverless applications, NoSQL databases, and RAG pipeline components like vector embedding and LangChain. The role addresses the challenge of creating sustainable data science products for actuarial, product, underwriting, and sales functions.

Skills

Python Terraform GCP AWS Azure BigQuery Docker CI/CD GenAI LLM LangChain LlamaIndex RAG NoSQL ETL Deep Learning Serverless Unit Testing

What you'll do

Develop custom features that extend the capabilities of cloud platforms and vendor tools.
Research and implement GenAI algorithms, tools, and technologies for enterprise use.
Explore and integrate new services across AWS, Google Cloud Platform, and Azure to support ML services.
Enhance platform functionality using expertise in AI, machine learning, Agentic Frameworks, and data engineering.
Architect and design end-to-end technical solutions at the component level.
Establish and promote best practices for AI and data engineering across various teams.
Manage engineering tasks and optimize workflows with minimal guidance.
Provide technical mentorship and review the work of systems-level engineers to ensure quality.

What we're looking for

Bachelor's degree in Computer Science, Computer Engineering, or a technical field.
8+ years of experience building and shipping software and/or platform solutions for enterprises.
3+ years of experience with Terraform.
Experience with GCP BigQuery, Cloud Functions, AI Platform, API Gateway, GKE/Docker.
Programming experience with Python (preferred).
Experience building libraries, frameworks, or platforms used across multiple teams (preferred).
Experience with AWS cloud (preferred).

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