Senior AI Platform Engineer (GCP) - GenAI & MLOps Focus

The Hartford; Columbus (OH); Hybrid; USD 117,000 - 176,000; Full time

Job summary

The Hartford is seeking an experienced Sr Data Engineer to join our AI Platform team, driving GenAI and ML services across enterprise functions. You will work on AI Operations, advising on architecture, data engineering, and scalability to deliver impactful AI-powered solutions.

We value practical, end-to-end problem solving, collaboration with data science and business teams, and mentorship. Hybrid or remote work options apply, with some office presence required for collaboration.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a technical field.
• 8+ years building and shipping software and/or platform solutions for enterprises.
• Programming experience with Python is preferred.
• 3+ years of experience with Terraform.
• Experience building libraries, frameworks or platforms used across multiple teams is a plus.
• Proven experience with Google Cloud Platform (GCP).
• Experience with GCP BigQuery, Cloud Functions, AI Platform, API Gateway, GKE/Docker is a must.
• Proven experience in working with other cloud providers such as AWS cloud is a plus.
• Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing, and Integration Testing tools.
• Experience with building scalable serverless applications (real-time/batch) using cloud technologies. GCP is a plus.
• Knowledge of distributed NoSQL database systems and data engineering, ETL technology.
• Conversational UX/UI design (chatbots) and Human-Agent-Interaction (HAI) is an
• Experience with IR, vector embedding, and Hybrid/Semantic search technologies.
• Knowledge about customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking, HNSW, and product quantization is a plus.
• Experience with embeddings, ANN/KNN, vector stores, database optimization, & performance tuning is a plus.
• Experience with LLM orchestration frameworks like Langchain, LlamaIndex, LangSmith, LangGraph, Google Agent Development Kit, is a plus.
• Experience with Generative AI Guardrails, responsible AI, adversarial attack mitigation, and red teaming is a plus.
• Foundational understanding of Natural Language Processing and Deep Learning.
• Excellent problem-solving skills and the ability to work in a collaborative team environment.
• Excellent communication skills.

Responsibilities

• Develop value-added features tailored to company-specific work, above and beyond core platform capabilities.
• Research, experiment with, and implement suitable GenAI algorithms, tools, and technologies.
• Explore new services and capabilities in AWS, Google Cloud Platform, and Azure to support GenAI and ML services.
• 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 a component level.
• Collaborate with partners in Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams.
• Manage engineering tasks, driving execution, and optimizing workflows with minimal guidance.
• Provide technical mentorship and career growth opportunities for team members.
• Review work of systems-level engineers to calibrate deliverables against project and business expectations.

Skills

Python

Terraform

GCP

BigQuery

Cloud Functions

GKE/Docker

CI/CD

NoSQL

LLM orchestration

Langchain

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

Job description

The Hartford is seeking an experienced Sr Data Engineer to join our AI Platform team, driving GenAI and ML services across enterprise functions. You will work on AI Operations, advising on architecture, data engineering, and scalability to deliver impactful AI-powered solutions.

We value practical, end-to-end problem solving, collaboration with data science and business teams, and mentorship. Hybrid or remote work options apply, with some office presence required for collaboration.