AI Platform Engineer

The Hartford

Confirmed live today High trust

Remote Hybrid

Quick summary

Work type: Remote
Location: Hartford, CTColumbus, OHCharlotte, NCChicago, IL
Salary: $127,600–$191,400 / yr
Posted: 1 day ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $191k

This role $160k

$115k most similar roles pay here $249k

This role pays less than 58% of similar roles. Most pay $145,525–$235,750 — the shaded band above. At the midpoint, this role pays about $160k versus about $191k 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 44 open roles on FindRole.

Listed pay typically runs $127,600–$191,400 across 36 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 involves developing value-added features beyond standard cloud capabilities, researching GenAI algorithms, and enhancing platform functionality through expertise in Agentic Frameworks and modern data technologies. The engineer will architect end-to-end solutions, manage engineering tasks with minimal guidance, and provide technical mentorship to team members. Key technical requirements include proficiency in Python, Terraform, and Google Cloud Platform tools such as BigQuery, Cloud Functions, AI Platform, API Gateway, and GKE/Docker. Additional experience involves CI/CD pipelines, scalable serverless applications, and RAG pipeline components like vector stores and LangChain. The role focuses on creating sustainable data science products to solve business problems in areas like Actuarial, Product, Underwriting, and Sales.

Skills

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

What you'll do

Build AI Operations (AIOps, MLOps, FMOps, LLMOps) services for the enterprise.
Develop custom features that extend beyond standard cloud platform and vendor tool capabilities.
Research and implement GenAI algorithms, tools, and technologies to solve business problems.
Explore and integrate new services across AWS, Google Cloud Platform, and Azure for ML support.
Architect and design end-to-end technical solutions at the component level.
Establish and promote best practices in AI, machine learning, and data engineering across teams.
Provide technical mentorship and review the work of systems-level engineers to ensure quality.
Manage engineering tasks and optimize workflows with minimal guidance.

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 Google Cloud Platform (GCP), including BigQuery, Cloud Functions, AI Platform, API Gateway, and GKE/Docker.
Foundational understanding of Natural Language Processing and Deep Learning.
Programming experience with Python (preferred).
Experience building libraries, frameworks, or platforms used across multiple teams (preferred).

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