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AI Platform Principal Engineer (Google Cloud Platform)

The Hartford

hybridprincipalpermanentbackend Chicago, IL 8 days ago via LinkedIn

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Tags

Google Cloud Platform (GCP)BigQueryCloud FunctionsTerraformGKEDockerPythonCI/CDMLOpsGenAI

About the role

Role Overview

The Hartford is seeking an AI Platform Principal Engineer (Google Cloud Platform) to build AI Operations (AIOps/MLOps/LLMOps/FMOps) services for its AI Platform team. You will help deliver modern, reliable data science products that generate measurable enterprise outcomes across functions like Actuarial, Product, Underwriting, and Sales.

Responsibilities

  • Develop value-added AI platform features that extend core cloud and vendor tooling for enterprise needs.
  • Research, experiment with, and implement GenAI algorithms, tools, and technologies.
  • Explore and adopt new capabilities in AWS, Google Cloud Platform, and Azure to support ML/GenAI services.
  • Enhance platform functionality with strong engineering expertise in AI/ML, agentic frameworks, and modern data technologies.
  • Establish and promote best practices in AI/ML and data engineering across teams.
  • Architect and design end-to-end solutions at the component level.
  • Collaborate with partners across Enterprise Data, Data Science, Business, Cloud Enablement, and Enterprise Architecture.
  • Own execution of engineering tasks with minimal guidance; optimize workflows.
  • Provide technical mentorship and support team career growth.
  • Review work of systems-level engineers to ensure deliverables meet project and business expectations.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, or related technical field.
  • 10+ years building and shipping enterprise software and/or platform solutions.
  • Terraform: 5+ years.
  • Google Cloud Platform (GCP) proven experience.
  • Must have experience with GCP BigQuery, Cloud Functions, AI Platform, API Gateway, and GKE/Docker.
  • CI/CD pipelines, automated testing, automated deployments.
  • Agile experience and unit/integration testing.
  • Experience building scalable serverless applications (real-time/batch) using cloud technologies.
  • Knowledge of distributed NoSQL databases and data engineering/ETL.

Nice to Haves

  • Python experience.
  • Experience with other clouds (AWS).
  • Experience with libraries/frameworks/platforms used across multiple teams.
  • Conversational UX/UI, chatbots, and Human-Agent Interaction (HAI).
  • Experience with information retrieval (IR), vector embeddings, and hybrid/semantic search.
  • Additional GCP tooling knowledge.

About The Hartford

The Hartford is a large insurance company providing coverage beyond traditional policies. It is building enterprise AI operations capabilities to support data science and business teams across the organization, using modern cloud and AI platforms to improve decision-making.

Scraped 7/17/2026