GenAI & Data Developer — Government Solutions (Hybrid)

EY

McLean (VA)

Hybrid

USD 76,000 - 126,000

Full time

14 days+
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Benefits offered by this job

Hybrid work model
Medical and dental coverage
401(k) matching

Job summary

EY is seeking a GenAI Developer for the Government and Public Sector practice in the US. You will design and optimize AI-enabled web applications, working with AI/ML engineers to deliver data-driven solutions across multiple sources.

The role emphasizes cloud deployment, collaboration with product teams, and delivering robust analytics capabilities. A bachelor’s degree and eligibility for a Secret clearance are required, with a hybrid in-person work model in the McLean area.

Qualifications

  • Must have bachelor’s degree.
  • Must be eligible to obtain/maintain Secret Clearance.
  • 1–2+ years in modern web development (JavaScript/TypeScript).
  • Backend development experience (Node.js, Python, FastAPI).
  • Familiar with deploying apps on cloud platforms (AWS/Azure/Vercel).
  • Experience with integrating generative AI models into applications.
  • Able to work in-person as needed.
  • Knowledge of ETL, data ingestion/cleaning and big data tech.

Responsibilities

  • Design and optimize applications using modern web frameworks and AI models.
  • Support government clients with data science and big data technologies.
  • Develop, maintain and enhance scalable data-driven web solutions.

Skills

JavaScript
React
Next.js
Python
FastAPI
AWS
Azure
Vercel
OpenAI tooling
Data processing

Education

Bachelor’s degree

Tools

Node.js
FastAPI
AWS
Azure
Vercel
Hadoop

Job description

EY is seeking a GenAI Developer for the Government and Public Sector practice in the US. You will design and optimize AI-enabled web applications, working with AI/ML engineers to deliver data-driven solutions across multiple sources.

The role emphasizes cloud deployment, collaboration with product teams, and delivering robust analytics capabilities. A bachelor’s degree and eligibility for a Secret clearance are required, with a hybrid in-person work model in the McLean area.

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