Hybrid GenAI & Data Engineer: AI Agents & Data Pipelines

System One; Reston (VA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Job summary

System One seeks a Senior GenAI & Data Engineer to design and deliver AI-enabled solutions in a large-scale financial services setting. The role blends hands-on Generative AI/LLM work with data engineering, Python, and AWS cloud expertise, with an onsite expectation in Reston, VA and a hybrid work model.

You will build AI agents, RAG solutions, scalable data pipelines, and cloud-native workloads on AWS services including Bedrock, Lambda, Glue, and Step Functions, connecting enterprise systems

Qualifications

• 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.

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.

Skills

GenAI & LLMs

Python

PySpark

Data engineering

REST API development

AWS cloud services

Cloud-native architectures

Communication

Troubleshooting

Education

Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related field

Tools

Amazon Bedrock

AWS Lambda

AWS Glue

AWS Step Functions

Docker

Job description

System One seeks a Senior GenAI & Data Engineer to design and deliver AI-enabled solutions in a large-scale financial services setting. The role blends hands-on Generative AI/LLM work with data engineering, Python, and AWS cloud expertise, with an onsite expectation in Reston, VA and a hybrid work model.

You will build AI agents, RAG solutions, scalable data pipelines, and cloud-native workloads on AWS services including Bedrock, Lambda, Glue, and Step Functions, connecting enterprise systems