AI Platform Engineer (Google Cloud Platform)
The Hartford
hybridseniorbackenddata Chicago, IL 2 days ago via LinkedIn
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Google Cloud PlatformGCP BigQueryTerraformPythonCI/CDMLOpsAIOpsGenAIServerlessData Engineering
About the role
Role Overview
The Hartford is seeking an AI Platform Engineer to build AI Operations (AIOps/MLOps/FMOps/LLMOps) services for its AI Platform team. The role supports data science and business teams across the enterprise by enabling streamlined processes and more intelligent decision-making.
Responsibilities
- Develop value-added platform features tailored to enterprise needs beyond core cloud and vendor capabilities.
- Research, experiment with, and implement GenAI algorithms, tools, and technologies.
- Explore and apply services/capabilities across AWS, Google Cloud Platform (GCP), and Azure for GenAI and ML.
- Enhance platform functionality with strong engineering expertise in AI/ML, agentic frameworks, and modern data technologies.
- Develop 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 Enterprise Data, Data Science, Business, Cloud Enablement, and Enterprise Architecture teams.
- Drive engineering execution with minimal guidance; optimize workflows.
- Provide technical mentorship and support team members’ career growth.
- Review systems-level engineers’ work to ensure deliverables meet project and business expectations.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a technical field.
- 8+ years building and shipping enterprise software and/or platform solutions.
- Python preferred.
- 3+ years experience with Terraform.
- Proven experience with Google Cloud Platform (GCP).
- Must have experience with GCP BigQuery, Cloud Functions, AI Platform, API Gateway, and GKE/Docker.
- Strong experience with CI/CD pipelines, automated testing, automated deployments.
- Experience with Agile, unit testing, and integration testing.
- Experience building scalable serverless applications (real-time/batch) with cloud technologies.
- Knowledge of distributed NoSQL databases and data engineering/ETL.
Nice to Have
- Experience with other cloud providers such as AWS.
- Ability to work with conversational UI/chatbots and Human-Agent Interaction (HAI).
- Experience with IR, vector embeddings, and Hybrid/Semantic Search technologies.
- Experience with building reusable libraries/frameworks/platforms used by multiple teams.
About The Hartford
The Hartford is an insurance company that aims to go beyond traditional coverage and policies. It runs an enterprise technology organization supporting data science and business teams, building modern platforms for AI-driven decision-making across functions like actuarial, product, underwriting, and sales.
Scraped 4/7/2026