AI Business Analyst

SES

Reston (VA)

Hybrid

USD 90,000 - 140,000

Full time

5 days ago
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Job summary

Systems Engineering Services in Reston, VA is seeking an AI Business Analyst for a hybrid role requiring 3–5 days in the Reston Town Center office. The ideal candidate will work on AI-enabled product design, data pipelines, and enterprise integration while collaborating with stakeholders to translate business needs into scalable technical solutions.

The role emphasizes hands-on AI/LLM experience, strong Python/PySpark skills, and expertise in REST APIs, AWS services, and data engineering to

Qualifications

  • Hands-on Generative AI and LLM experience, including AI agents and RAG.
  • Strong data architecture and engineering skills for large datasets.
  • Experience designing AI-enabled products and translating requirements into technical architectures.

Responsibilities

  • Hands-on Generative AI and LLM development for AI-enabled applications.
  • Design data pipelines, data models, integrations, and scalable processing.
  • Develop APIs and integrated solutions with enterprise systems and cloud services.
  • Work with cloud-native and serverless architectures (AWS Lambda, Glue, Step Functions).
  • Collaborate with product teams to translate business needs into technical implementations.

Skills

Python
PySpark
REST API
AWS
SQL

Job description

Systems Engineering Services is seeking a AI Business Analyst based in the Reston VA area. This position will be a hybrid role that requires 3-5 days a week in the reston town center office.

Job Description:
  • Local candidates preferred, with an expectation to be in Reston Town Center 3-5 days per week
  • Excellent communication and written skills
  • Ability to work independently
  • Hands-on Generative AI and LLM expertise, including AI agents, Retrieval-Augmented Generation (RAG), Amazon Bedrock, and enterprise AI integration.
  • Strong data architecture and engineering skills, including designing data pipelines, data models, integrations, and scalable processing of large datasets.
  • Strong Python and PySpark development skills for data processing, analytics, automation, and AI-enabled applications.
  • Experience designing AI-enabled products, translating business and product requirements into practical technical architectures and implementation approaches.
  • Strong API and systems integration experience, including REST APIs and connecting applications, data platforms, AI services, and enterprise systems.
  • Experience with modern cloud-native and serverless architectures, including AWS Lambda, Glue, Step Functions, containers, and event-driven workflows.
Top 5 Technical Skills:
  1. Python
  2. Pyspark
  3. Rest API
  4. AWS
  5. SQL

Jake Lutman

Technical Recruiter

Systems Engineering Services

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