Senior GenAI & Data Engineer

System One Holdings, LLC

$120K — $145K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years experience with Generative AI and Large Language Models (LLMs).
  • Expertise in Retrieval Augmented Generation (RAG) solutions and Amazon Bedrock.
  • Advanced skills in Python and PySpark for data processing and AI development.
  • Proven ability in developing data pipelines and processing large-scale data.
  • Hands-on experience with AWS services like AWS Lambda and AWS Glue.
  • Proficiency in cloud-native development with serverless and container architectures.
  • Strong communication skills for collaboration with technical and business teams.

Responsibilities

  • Develop and integrate AI solutions in a financial services environment.
  • Build AI agents and RAG solutions, creating scalable data workflows.
  • Implement AI capabilities in enterprise applications aligning with business needs.
  • Utilize AWS services for cloud-native solution development.
  • Design and maintain containerized workloads in cloud environments.
  • Connect applications and data platforms through REST APIs.
  • Translate business requirements into technical implementation strategies.

Benefits

  • Health, dental, and vision insurance options.
  • Flexible spending accounts.
  • Life insurance and voluntary plans available.
  • 401(k) retirement plan participation.
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, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. 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.

#M-
#LI-
Ref: #404-IT Pittsburgh

Similar Jobs

More Jobs at System One Holdings, LLC

More Finance & Insurance Jobs

Find similar Senior GenAI & Data Engineer jobs: