Government and Infrastructure - Service Delivery Center - AI Solution Senior Developer

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 Infrastructure - Service Delivery Center – AI & Data – AI Solution Development – Senior Analyst From strategy to execution The Government and Infrastructure 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 and 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 knowledge from across our global organization, and creative and bold ideas that drive innovation. We enable our government clients to protect the nation and serve the public, increase public safety, improve healthcare for military members, veterans, and citizens, deliver essential public services, and help those in need. EY is ready to help our government build a better working world. The opportunity The Service Delivery Center is made up of high-performing, U.S.-based professionals who work closely with EY engagement teams to deliver project-based work and managed services to government clients. The Service Delivery Center is a core component of the Government and Infrastructure practice. We currently have an opportunity for an AI Solution Development Senior to join our growing AI & Data practice. In this role, you will design and build innovative AI-enabled solutions, including proofs of concept, prototypes, reusable accelerators, and production-ready applications. You will own defined features or technical workstreams and contribute throughout the solution lifecycle, from requirements and design through development, testing, deployment, and continuous improvement. You will collaborate with engagement teams, technical specialists, and client stakeholders to translate defined business and mission needs into working technology. Your primary focus will be hands-on technical delivery, solution quality, and the successful completion of assigned workstreams. Your key responsibilities • Design, develop, test, deploy, and improve AI-enabled applications, proofs of concept, prototypes, and reusable technical components • Own defined features or technical workstreams and coordinate their delivery from initial requirements through implementation • Translate business, functional, and technical requirements into solution components, development tasks, acceptance criteria, and testable outcomes • Develop AI-enabled web applications using modern front-end and back-end technologies • Integrate generative AI models and services into applications using APIs, cloud services, and approved open-source frameworks • Build retrieval-augmented generation solutions, enterprise-search capabilities, intelligent assistants, and AI-enabled workflow automations • Develop APIs, application services, data integrations, prompt workflows, and connections to enterprise data sources • Contribute to the evaluation of technical approaches, frameworks, models, and tools based on solution requirements, client environments, security considerations, and delivery constraints • Support the progression of successful proofs of concept into secure, maintainable, and scalable solutions when required by the engagement • Apply development standards related to source control, testing, code review, documentation, security, deployment, and maintainability • Write clear, testable, and maintainable code aligned with established solution patterns and development standards • Review code, technical deliverables, test results, and supporting documentation produced by other team members • Identify technical risks, dependencies, defects, and blockers, and communicate them promptly to engagement and delivery leadership • Troubleshoot and resolve complex application, model-integration, data, performance, and deployment issues • Guide Staff professionals in completing development tasks, following team standards, and resolving technical challenges • Coordinate with developers, data engineers, AI and machine learning specialists, designers, and other engagement professionals • Participate in client and engagement-team discussions to clarify requirements, explain technical decisions, demonstrate working solutions, and communicate delivery progress • Create and maintain technical documentation, including solution designs, data flows, integration details, configuration guidance, test evidence, and deployment instructions • Contribute reusable components, proven development patterns, and lessons learned that can improve delivery across engagements • Stay current on relevant developments in generative AI, application development, cloud services, data engineering, and responsible AI • Deliver engagement-specific responsibilities in accordance with established scope, quality, schedule, security, and client requirements Skills and attributes for success • Strong hands-on development skills and the ability to independently deliver defined AI application features or technical workstreams • Understanding of generative AI application patterns, including model integration, prompting, retrieval-augmented generation, grounding, and enterprise-data connections • Ability to translate requirements and technical designs into working, testable, and maintainable software • Experience applying structured software engineering practices, including source control, testing, code review, documentation, and deployment • Ability to balance rapid prototyping with security, reliability, usability, and long-term maintainability • Strong problem-solving and troubleshooting skills across application, integration, data, and AI components • Ability to evaluate implementation options and make practical technical r