Senior GenAI & Data Engineer

System One Holdings, LLC

$125K — $150K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years experience with Generative AI and LLMs, focusing on AI agents and enterprise solutions
  • Experience with Retrieval Augmented Generation (RAG) and Amazon Bedrock
  • Advanced Python and PySpark skills for data processing and AI development
  • Strong data engineering background in developing pipelines and models
  • Hands-on experience with AWS services such as Lambda and Glue
  • Proficiency in cloud-native development using serverless and event-driven architectures
  • Strong REST API development and system integration skills
  • Effective communication skills for technical and business collaboration
  • Bachelor's degree in a relevant field.

Responsibilities

  • Develop AI solutions in a large-scale financial services context
  • Build AI agents and RAG solutions, creating scalable data workflows
  • Implement AI capabilities with enterprise applications and align with business needs
  • Leverage AWS services for cloud-native application development
  • Design and maintain cloud-based containerized workloads
  • Integrate applications and data platforms using REST APIs
  • Translate business requirements into technical strategies for AI products
  • Troubleshoot complex issues to ensure successful project delivery

Benefits

  • Medical, dental, and vision coverage
  • Health and welfare benefits options
  • Life insurance and voluntary plans
  • Participation in a 401(k) plan
Full Job Description
Job Title: Senior GenAI & Data Engineer
Location: Reston, Virginia
Type: Direct Hire
Work Model: Hybrid - onsite and remote

Overview
System One is seeking a Senior GenAI & Data Engineer to develop and integrate AI-enabled solutions within a large-scale financial services environment. This role combines hands-on Generative AI and LLM development with strong data engineering, Python, and AWS cloud expertise.

This position has an onsite expectation of 3-5 days per week in Reston, VA with local candidates preferred.

Responsibilities

  • Develop and integrate AI-enabled solutions within a large-scale financial services environment.
  • Build AI agents and Retrieval Augmented Generation (RAG) solutions, create scalable data pipelines and workflows.
  • Develop and implement AI capabilities with enterprise applications and data platforms, ensuring solutions are practical and aligned with business requirements.
  • Leverage AWS services such as Amazon Bedrock, AWS Lambda, AWS Glue, and AWS Step Functions for cloud-native development.
  • Design and maintain containerized and event-driven workloads in cloud environments.
  • Connect applications, data platforms, AI services, and enterprise systems via REST APIs and systems integration techniques.
  • Translate business and product requirements into effective technical implementation strategies for AI-enabled products.
  • Troubleshoot complex technical issues and ensure successful project delivery from start to finish.


Requirements

  • 5+ years of experience with Generative AI and Large Language Models (LLMs), including development of AI agents and enterprise AI solutions.
  • Experience implementing Retrieval Augmented Generation (RAG) solutions and working with Amazon Bedrock.
  • Advanced Python and PySpark skills for data processing, analytics, automation, and AI application development.
  • Strong data engineering expertise, including developing data pipelines, data models, and processing large-scale data.
  • Hands-on experience with AWS cloud services such as AWS Lambda, AWS Glue, and AWS Step Functions.
  • Proficiency in developing cloud-native solutions using serverless, containerized, and event-driven architectures.
  • Experience with REST API development and system integration for connecting applications and data platforms.
  • Ability to interpret business needs into practical technical solutions and implement effectively.
  • Excellent communication skills, capable of working independently and collaboratively with technical and business teams.
  • Financial services or other highly regulated enterprise experience is a plus.
  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related field.


System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

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Ref: #404-IT Pittsburgh

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