IND - Senior Engineer, Data
The Hartford (company site, opens in a new tab)On-siteDirect career pageEst. 28–45 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design and implementation of scalable real-time data streaming and AI pipelines integrating structured, semi-structured, and unstructured data to support AI and agentic solutions.
- Develop and maintain data domains, data products, and semantic layers including graph databases and Retrieval-Augmented Generation (RAG) architectures integrated with enterprise data infrastructure.
- Champion AI-driven data engineering improvements; collaborate across teams for deployment, monitoring, and mentoring to maintain high-quality, reliable, and scalable data and AI systems.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.
- Advanced data engineering skills with expertise in cloud platforms (AWS/GCP/Azure), Snowflake, SQL/NoSQL, ETL/ELT tools, Python/Spark, containerization (Docker/Kubernetes), and big data technologies.
- Experience building production-ready enterprise-grade GenAI data solutions and pipelines integrating complex datasets, including skills in prompt engineering and Retrieval-Augmented Generation (RAG).
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Expertise in leading complex data and AI engineering initiatives within large-scale, cloud-based environments, with strong architectural and strategic influence capabilities.
- Operates effectively in agile, fast-paced settings applying Scaled Agile principles, able to mentor junior engineers and align technical solutions with business strategies.
- Experienced in handling and optimizing advanced AI and data technologies including graph/vector databases, AI-driven automation of data pipelines, and knowledge of industry evolving design patterns for AI.