AI Platform Engineer

The Hartford

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Hartford, CTColumbus, OHCharlotte, NCChicago, IL
Employment: Full-time
Posted: 45 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $172k

$115k $224k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $138,826–$204,300.

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 70 open roles on FindRole.

Listed pay typically runs $127,600–$191,400 across 29 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

JOB TITLE: AI Platform Engineer (Google Cloud Platform) The AI Platform Engineer joins the AI Operations team to build AIOps, MLOps, FMOps, and LLMOps services. This role supports data science and business teams across functions like Actuarial, Product, Underwriting, and Sales by delivering sustainable data science products. You will develop value-added features, research GenAI algorithms, and architect end-to-end solutions at a component level. Key responsibilities include enhancing platform functionality, managing engineering tasks, and providing technical mentorship. Required technical skills include Google Cloud Platform, BigQuery, Cloud Functions, AI Platform, API Gateway, GKE/Docker, and Terraform. You will also utilize Python, CI/CD pipelines, and automated testing. The role involves solving business problems through modern data technologies, including RAG pipelines, vector stores, and LLM orchestration frameworks like Langchain and LlamaIndex.

Skills

Python Terraform Google Cloud Platform AWS Azure GCP BigQuery Cloud Functions GKE Docker CI/CD Langchain LlamaIndex LangSmith LangGraph RAG NoSQL ETL Natural Language Processing Deep Learning Unit Testing Integration 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 in AWS, GCP, and Azure to support ML services.
Architect and design end-to-end solutions at the component level.
Develop and promote best practices in AI, ML, and data engineering across the organization.
Manage engineering tasks and optimize workflows with minimal guidance.
Provide technical mentorship and review the work of systems-level engineers.

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.
Proven experience with Google Cloud Platform (GCP), including BigQuery, Cloud Functions, AI Platform, API Gateway, and GKE/Docker.
Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing, and Integration Testing tools.
Knowledge of distributed NoSQL database systems, data engineering, and ETL technology.
Foundational understanding of Natural Language Processing and Deep Learning.

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