Government and Public Sector - AI & Data - GenAI Developer - Manager

EY•McLean, VA

2d•$125,500 - $261,600•Hybrid

About The Position

The Government and Public Sector practice of Ernst & Young provides a full range of consulting and audit services to help 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.

Requirements

Experience with JavaScript and frameworks like React, Next.js or similar
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 methodologies and technologies
Clarifying problems by driving to understand the true issue
Looking for opportunities for improving methods and outcomes
Applying data driven approach (KPIs) in tying technology solutions to specific business outcomes
Collaborating, influencing, and building consensus through constructive relationships and effective listening
Solving problems by incorporating data into decision making
Must have bachelor's degree
Must be eligible to obtain and maintain a Secret Clearance
Must have at least 6-8+ years of experience with the following: Modern web development (JavaScript/TypeScript etc.), Backend development (Node.js, Python, FastAPI or similar), Experience integrating generative AI models into applications (APIs or fine-tuned models), Experience deploying applications on cloud platforms (AWS, Azure, Vercel, etc.)
Understanding of statistical modeling as well as ETL, data ingestion/cleansing and engineering skills
Machine learning using k-NN, naive bayes, decision trees, SVM experience required
Experience using data mining and statistical tools
Solid pattern recognition and predictive modelling skills
Recommendation engines, scoring systems, A/B testing
Must have worked with multiple tools/libraries such as Weka, NumPy, PyMongo, R, etc.
Hands-on experience with various big data technologies in one or more ecosystems (Hadoop, AWS or Microsoft)
Must be comfortable working in-person as needed

Nice To Haves

Bachelor’s Degree or above in mathematics, information systems, statistics, computer science, or related disciplines
Experience with vector databases (Pinecone, Weaviate) and AI inference optimizations
Experience with open-source AI and web projects
Experience with RAG or fine-tuning models
Thorough business understanding of data science application and ability to communicate with key decision-makers
Communication is essential, must be able to listen and understand the question and develop and deliver clear insights

Responsibilities

Designing and optimizing applications that leverage modern web frameworks and AI models.
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.
Implementing generative AI models.
Working with AI/ML engineers.
Developing web applications.
Ensuring quality and product excellence.