Staff Data Engineer - GE07CE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

At the Hartford, we are seeking GEN AI Data Engineer who is responsible for building fault-tolerant infrastructure to support the Generative AI applications, and also designing, developing, and deploying data pipelines to solve complex problems and drive innovation at scale.

We are driven by a strong determination to create a meaningful impact and take pride in being an insurance company that extends far beyond the realms of policies and coverages. When you choose to be a part of our team, you open the door to endless opportunities for personal and professional growth, as well as the chance to empower others in reaching their aspirations. You will help bring the transformative power of Generative AI capabilities to re-imagine the 'art of possible' and serve our internal customers and transform the businesses.

• Design and build fault-tolerant infrastructure to support the Generative AI Ref architecture (RAG, Summarization, Agent etc).
• Ensure code is delivered without vulnerabilities by enforcing engineering practices, code scanning, etc.
• Build and maintain IAC (terraform/Cloud Formation), CICD (Jenkins) scripts, CodePipeline, uDeploy, & GitHub Actions.
• Partner with our shared service teams like Architecture, Cloud, Security, etc to design and implement platform solutions.
• Collaborate with the DS team to develop a self-service internal developer Generative AI platform.
• Design and build the Data ingestion pipeline for Finetuning LLM Models.
• Create templates (Architecture As Code) implementing Ref architecture application's topology.
• Build a feedback system using HITL for Supervised finetuning.

• Bachelor's degree in Computer Science, Computer Engineering, or a technical field.
• 4+ years of experience with AWS cloud.
• At least 8 years of experience designing and building data-intensive solutions using distributed computing.
• 8+ years building and shipping software and/or platform infrastructure solutions for enterprises.
• Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing and Integration Testing tools.
• Experience with building scalable serverless application (real-time / batch) on AWS stack (Lambda + step function)
• Knowledge of distributed NoSQL database systems.
• Experience with data engineering, ETL technology, and conversation UX is a plus.
• Experience with HPCs, vector embedding, and Hybrid/Semantic search technologies.
• Experience with AWS OpenSearch, Step/Lambda Functions, SageMaker, API Gateways, ECS/Docker is a plus.
• Proficiency in customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking, and hierarchical navigable small-world graph (HNSW) is a plus.
• Strong proficiency in embeddings, ANN/KNN, vector stores, database optimization, & performance tuning.
• Extensive programming experience with Python, Java.
• Experience with LLM orchestration frameworks like Langchain, LlamaIndex etc.
• Foundational understanding of Natural Language Processing, and Deep Learning.
• Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing, and Integration Testing tools.
• Excellent problem-solving skills and the ability to work in a collaborative team environment.
• Excellent communication skills.
• Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.