Sr GenAI Data Engineer

Executive Placements, LLC.

United States

United States

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About

Sr Staff Data Engineer - GE07DE Join our team as a Sr GenAI Data Engineer and lead the charge in developing cutting?edge AI solutions and data engineering strategies. Embrace our core values of innovation, collaboration, and excellence as you unlock unparalleled growth opportunities in the dynamic field of AI and data engineering. Shape the future of technology with us! Apply now to be part of our innovative journey and make a significant impact. Key Responsibilities Develop AI?driven systems to improve data capabilities, ensuring compliance with industry best practices. Implement efficient Retrieval?Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure. Collaborate with cross?functional teams to integrate solutions into operational processes and systems supporting various functions. Stay up to date with industry advancements in AI and apply modern technologies and methodologies to our systems. Design, build and maintain scalable and robust real?time data streaming pipelines using technologies such as GCP, Vertex AI, S3, AWS Bedrock, Spark streaming, or similar. Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc. Ensure reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management. Implement best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery strategies. Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems. Mentor junior team members and engage in communities of practice to deliver high?quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns. Apply AI solutions to insurance?specific data use cases and challenges. Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment.
Required Skills & Experience
8+ years strong hands?on experience programming in Python. 7+ years data engineering experience, including data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CI/CD, Big Data, cloud technologies (AWS/Google/Azure), Python/Spark. 3+ years data engineering experience focused on supporting Generative AI technologies. 2+ years strong hands?on experience implementing production?ready enterprise?grade GenAI data solutions. 3+ years experience implementing Retrieval?Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models. 3+ years experience with vector databases and graph databases, including implementation and optimization. 3+ years experience processing and leveraging unstructured data for GenAI applications. 3+ years proficiency in implementing scalable AI?driven data systems supporting agentic solutions (AWS Lambda, S3, EC2, Langchain, Langgraph). 3+ years experience building AI pipelines that bring together structured, semi?structured and unstructured data, including pre?processing with extraction, chunking, embedding, grounding strategies, semantic modeling, and getting data ready for models and agentic solutions.
Nice to Have
Experience with prompt engineering techniques for large language models. Experience implementing data governance practices, including data quality, lineage, data catalogue capture on a large?scale platform. Experience in multi?cloud hybrid AI solutions. AI certifications, experience in P&C or Employee Benefits industry, knowledge of NLP and computer vision technologies. Contributions to open?source AI projects or research publications in Generative AI.
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. Compensation
The listed annualized base pay range is $135,040 - $202,560. Other rewards may include short?term or annual bonuses, long?term incentives, and on?the?spot recognition. Equal Opportunity Employer
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age. #J-18808-Ljbffr

United States

Languages

English

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