IND - Associate Engineer, Data
The Hartford Hyderabad, Telangana, India
Financial Services · 10,001+ employees
About the role
The Associate Engineer will implement AI data pipelines and Retrieval-Augmented Generation (RAG) architectures to support agentic solutions. They will also build scalable real-time data streaming pipelines and collaborate with DevOps to ensure system reliability and performance.
What they look for
Requirements
Candidates must have a bachelor's degree in computer science or AI and at least 2 years of data engineering experience. Proficiency in Python, cloud platforms, and AI-driven data systems is required.
Full description
IND Associate Engineer, Data - GCC061
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.
Key Responsibilities
- Data and AI Engineer responsible for Implementing AI data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions.
- Implement efficient Retrieval-Augmented Generation (RAG) architectures and integration with enterprise data infrastructure.
- Build and maintain scalable and robust real-time data streaming pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark streaming, or similar.
- Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc.
- Develop AI-driven systems to improve data capabilities
- Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management.
- Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems.
Required Skills & Experience:
- Bachelor's degree in computer science, Artificial Intelligence, or related field.
- 2 years of data engineering experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Bigdata, Cloud Technologies (AWS/Google/AZURE), Python/Spark, Datamesh, Datalake or Data Fabric.
- Less than 2 years of experience will be considered with advanced degree & applicable internship experience.
- 1+ years' experience with cloud platforms (AWS, GCP, or Azure)
- 1+ years of data engineering experience focused on supporting AI technologies.
- 1+ years implementing AI data solutions.
- 1+ years with prompt engineering techniques for large language models.
- 1+ years in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models.
- 1+ years implementing AI driven data systems supporting agentic solutions (AWS Lambda, S3, EC2, Langchain, Langgraph).
- 1+ years of programming skills in Python
- 1+ years with building AI pipelines that bring together structured, semi-structured and unstructured data.
- 1+ years in vector databases, graph databases, NoSQL, Document DBs, including design, implementation, and optimization. (e.g., AWS open search, GCP Vertex AI, Neo4j, Spanner Graph, Neptune, Mongo, DynamoDB etc.).
- Strong written and verbal communication skills
- Able to communicate effectively with technical teams
- Team player who collaborates effectively across teams
- Strong organization and execution skills.
- Strong interpersonal and time management skills
- Ability to work successfully in a lean, agile, and fast-paced organization, leveraging Agile principles and ways of working.
- Ability to translate technical topics into business solutions and strategies
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