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Government and Public Sector - AI & Data - GenAI Developer

Job in McLean, Fairfax County, Virginia, USA
Listing for: Ernst & Young Advisory Services Sdn Bhd
Full Time position
Listed on 2026-08-13
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 76200 - 125500 USD Yearly USD 76200.00 125500.00 YEAR
Job Description & How to Apply Below

Government and Public Sector - AI & Data - GenAI Developer

Location:

Mc Lean

Other locations:
Primary Location Only

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

Government and Public Sector – Technology Consulting – AI & Data – GenAI Developer – Consultant

From strategy to execution, the Government and Public Sector practice of Ernst & Young provides a full range of consulting and audit services to help our Federal, State, Local and Education clients implement new ideas to help achieve their mission outcomes. We deliver real change and measurable results through our diverse, high-performing teams, quality work at the highest professional standards, operational know-how from across our global organization, and creative and bold ideas that drive innovation.

We enable our government clients to achieve their mission of protecting the nation and serving the people; increasing public safety; improving healthcare for our military, veterans, and citizens; delivering essential public services; and helping those in need. EY is ready to help our government build a better working world.

EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization. We leverage best practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. At EY, our methods are not tied to any specific platforms but rather arrived at by analyzing business needs and making sure that the solutions delivered meet all client goals.

The opportunity

You will help our clients navigate the complex world of modern AI, data and analytics. We’ll look to you to provide our clients with a unique business perspective on how data science and analytics can transform and improve their entire organization – starting with key business issues they face. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.

Your key responsibilities

Our GenAI Developer will be responsible for designing and optimizing applications that leverage modern web frameworks and AI models. You can expect to support government clients with delivering the latest data science and big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources. You’ll be responsible for implementing generative AI models, working with AI/ML engineers, developing web applications and ensuring quality and product excellence.

Skills and attributes for success

  • Experience with back-end development (Python, FastAPI or similar)
  • Understanding of cloud platforms such as AWS, Azure, Vercel etc.
  • Experience developing, maintaining and improving web applications using modern frameworks (React, Next.js, Svelte, Vue, Remix/React Router, etc.)
  • Understanding of generative AI models (openAI, Anthropic, open-source LLMs) into web-based products
  • Experience working with designers, product managers, AI/ML engineers to create intelligent user experience
  • Experience writing tests, participating in code reviews
  • Designing, architecting, and developing solutions leveraging big data technology (Open Source, Hortonworks, AWS or Microsoft) to ingest, process and analyze large, disparate data sets to exceed business requirements
  • Unifying, enriching, and analyzing customer data to derive new insights and opportunities
  • Leveraging in-house data platforms as needed and recommending and building new data platforms/solutions as required to exceed business requirements
  • Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions
  • Demonstrating deep understanding of and ability to teach data science, concepts, tools, features, functions, and benefits of different approaches to apply them
  • Seeking out information to learn about emerging…
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