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Senior Data Analytics & Knowledge Engineer AWS Agentic AI

  • New Jersey, Jersey City

  • 08/26/2026

  • Full Time

  • Active

Job Description:

  • Job Summary
    We are seeking a Senior Data Analytics & Knowledge Engineer to support AWS Agentic AI solutions, with a strong focus on data engineering, knowledge graphs, and LLM/RAG integration. The ideal candidate will have hands-on experience with AWS Bedrock, Amazon Neptune, OpenSearch vector search, knowledge graphs, ontologies, and modern data engineering technologies. Life Sciences or Healthcare domain experience is preferred.

    Key Responsibilities
    • Design, develop, and support AWS Agentic AI solutions leveraging AWS Bedrock, Amazon Neptune, and OpenSearch for vector search and RAG capabilities.
    • Develop and maintain knowledge graphs and ontologies using standards and technologies such as RDF, OWL, SKOS, and Turtle.
    • Build and optimize data engineering solutions using Python, SQL, AWS Glue, Amazon S3, and Apache Iceberg.
    • Develop and integrate LLM and RAG solutions using frameworks such as LangChain, LlamaIndex, and Strands Agents.
    • Implement Text2SQL capabilities and integrate natural language interfaces with data platforms.
    • Design and maintain data pipelines and knowledge infrastructure supporting AI and analytics use cases.
    • Integrate data engineering capabilities with LLM, RAG, and agentic AI architectures.
    • Collaborate with technical and business stakeholders to develop scalable data and knowledge solutions aligned with business requirements.

    Required Qualifications
    • Strong hands-on experience with AWS Bedrock, Amazon Neptune, and OpenSearch, including vector search and RAG.
    • Strong experience with knowledge graphs and ontologies, including RDF, OWL, SKOS, and Turtle.
    • Proficiency in Python and SQL.
    • Hands-on experience with AWS Glue, Amazon S3, and Apache Iceberg.
    • Experience with LangChain, LlamaIndex, and/or Strands Agents.
    • Experience implementing Text2SQL solutions.
    • Strong data engineering experience combined with LLM and RAG integration experience.

    Preferred Qualifications
    • Experience in the Life Sciences or Healthcare domain.
    • Experience designing and implementing enterprise-scale agentic AI and knowledge management solutions.

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