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# AI Platform Engineer (Google Cloud Platform)

- **Company:** Hartford Financial Services
- **Location:** Chicago, IL, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, BigQuery, Cloud Engineering, Computer Engineering, Information Engineering, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Machine Learning, NoSQL, Cloud Services, Azure Machine Learning, Enterprise Data Management, Google Cloud, Deep Learning, AI Platforms, Information Technology, Google Cloud Functions, Machine Learning Operations, Api Gateway, Terraform, Serverless Computing, Docker
- **Published:** August 9, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/ai-platform-engineer-google-cloud-platform-chicago-il-usa-58869885

## About the Role

* Collaborate with Enterprise Data, Data Science, Business, Cloud Enablement, and Enterprise Architecture teams * Manage engineering tasks and optimize workflows with minimal guidance * Provide technical mentorship and career growth opportunities * Review systems-level work to align with project and business expectations Tasks * Bachelor's degree in Computer Science, Computer Engineering, or a technical field * 8+ years building and shipping software/platform solutions for enterprises * Python programming experience (preferred) * 3+ years of Terraform experience * GCP experience with BigQuery, Cloud Functions, AI Platform, API Gateway, and GKE/Docker * Experience with CI/CD pipelines, automated testing/ deployments, agile methodologies * Experience building scalable serverless applications on cloud platforms * Knowledge of distributed NoSQL databases and ETL technologies * Foundational understanding of NLP and deep learning * Excellent problem-solving and communication skills * aaaaa
cloud to work in the US without sponsorship Key requirements * hybrid or remote work arrangement * office presence 3 days a week for near locations * base pay with potential bonuses and incentives * total compensation package including rewards and recognition

## Description

Experteer Overview In this role you will help shape the Hartford's AI Platform by building scalable AI/ML operations solutions for enterprise data teams. You will work with cross-functional partners to deliver end-to-end, MVPractical AI-enabled products and services. You'll drive GenAI-enabled features, platform enhancements, and best practices that improve decision-making across actuarial, product, underwriting, and sales functions. This is a hands-on, impact-focused opportunity to evolve the organization's AI capabilities in a collaborative, values-driven environment. Compensation / Benefits * Develop value-added features beyond core cloud capabilities and vendor tools * Research and implement GenAI algorithms and technologies * Explore and leverage AWS, GCP, and Azure to support GenAI/ML services * Enhance platform with AI/ML, agentic frameworks, and modern data technologies * Promote best practices in AI, ML, and data engineering * Architect end-to-end component-level solutions * Collaborate with Enterprise Data, Data Science, Business, Cloud Enablement, and Enterprise Architecture teams * Manage engineering tasks and optimize workflows with minimal guidance * Provide technical mentorship and career growth opportunities * Review systems-level work to align with project and business expectations Tasks * Bachelor's degree in Computer Science, Computer Engineering, or a technical field * 8+ years building and shipping software/platform solutions for enterprises * Python programming experience (preferred) * 3+ years of Terraform experience * GCP experience with BigQuery, Cloud Functions, AI Platform, API Gateway, and GKE/Docker * Experience with CI/CD pipelines, automated testing/ deployments, agile methodologies * Experience building scalable serverless applications on cloud platforms * Knowledge of distributed NoSQL databases and ETL technologies * Foundational understanding of NLP and deep learning * Excellent problem-solving and communication skills * Authorized to work in the US without sponsorship Key requirements * hybrid or remote work arrangement * office presence 3 days a week for near locations * base pay with potential bonuses and incentives * total compensation package including rewards and recognition


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