GenAI Senior Developer – Public Sector AI & Data

Ernst & Young Advisory Services Sdn Bhd; McLean (VA); On-site; USD 107,000 - 177,000; Full time

Job summary

EY is seeking a GenAI Senior Developer to design and optimize AI-powered web applications for Government and Public Sector clients. You will work with AI/ML engineers to deploy models, build scalable data-rich platforms, and deliver robust solutions across AWS, Azure, and Vercel.

The role emphasizes collaboration with designers, product managers, and engineers to advance data-driven insights and improve citizen services while navigating security requirements and complex data environments.

Qualifications

• Bachelor's degree required.
• Eligible to obtain and maintain a Secret Clearance.
• 3-5+ years in modern web development (JavaScript/TypeScript).
• 3-5+ years backend development (Node.js, Python, FastAPI).
• Experience deploying apps on cloud platforms (AWS, Azure, Vercel).
• Strong data skills: ETL, data ingestion/cleansing and engineering.

Responsibilities

• Design and optimize apps that leverage modern web frameworks and AI models.
• Support government clients with data science and big data technologies.
• Implement generative AI models and collaborate with AI/ML engineers.
• Develop web applications and ensure quality and product excellence.

Skills

Python

JavaScript/TypeScript

React/Next.js

Generative AI

Testing & code reviews

Big data

Data integration

OpenAI/LLMs

Collaboration

Cloud platforms

Education

Bachelor's degree

Tools

FastAPI

Node.js

React

Vercel

Open Source AI

Job description

EY is seeking a GenAI Senior Developer to design and optimize AI-powered web applications for Government and Public Sector clients. You will work with AI/ML engineers to deploy models, build scalable data-rich platforms, and deliver robust solutions across AWS, Azure, and Vercel.

The role emphasizes collaboration with designers, product managers, and engineers to advance data-driven insights and improve citizen services while navigating security requirements and complex data environments.