Government and Public Sector - Service Delivery Center - AI Solution Senior Developer

Government & Public Sector - Service Delivery Center – AI & Data – AI Solution Development – Senior Analyst

From strategy to execution

The Government & 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 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 & Public Sector 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 recommendations within established architecture and delivery constraints
• Ability to own work through completion, identify dependencies, and clearly communicate progress, risks, and blockers
• Ability to review the work of Staff professionals and provide clear, constructive technical guidance
• Strong attention to detail and commitment to producing accurate, secure, and maintainable work products
• Strong written and verbal communication skills, including the ability to explain technical information to technical and nontechnical stakeholders
• Ability to manage multiple assignments and meet delivery commitments in a fast-paced environment
• Collaborative working style and the ability to build productive relationships across distributed EY and client teams
• Commitment to continuous learning, responsible AI, quality, and professional development

To qualify for the role, you must have

• Must be able to obtain and maintain secret clearance or higher
• Must have a bachelor’s degree and a minimum of 3–5+ years of related professional experience
• Must be comfortable working in-person as needed
• Relevant hands-on experience developing software, data, AI, analytics, or automation solutions
• Development experience with Python and a modern backend framework such as FastAPI, Flask, Django, or a similar technology
• Experience with JavaScript or TypeScript and a modern front-end framework such as React, Next.js, Vue, Angular, Svelte, or a similar technology
• Experience integrating generative AI models or services into applications through APIs, cloud services, or approved open-source frameworks
• Experience developing APIs, application services, data integrations, or secure connections to enterprise data sources
• Experience developing or deploying applications within a cloud environment such as Microsoft Azure, Amazon Web Services, or a comparable platform
• Working knowledge of SQL, relational or nonrelational databases, data ingestion, data transformation, and data-quality concepts
• Experience with software development lifecycle practices, source control, testing, code review, technical documentation, and deployment processes
• Experience independently owning features, components, or defined technical workstreams
• Strong communication, facilitation, and presentation skills
• Flexibility and ability to work effectively with nationally distributed teams
• Ability to prioritize assignments, meet deadlines, track open issues, and communicate risks or blockers
• Excellent English-language skills, both written and verbal

Consistent with EY’s collaborative working model, the role is expected to include 60% in-person engagement in support of effective teaming and delivery, subject to client and business requirements.

Ideally, you’ll also have

• Experience building retrieval-augmented generation solutions using vector databases, enterprise-search services, embeddings, and related technologies
• Experience developing intelligent assistants, AI-enabled workflow solutions, or agent-based applications
• Experience moving AI proofs of concept into secure and maintainable application environments
• Experience with cloud-native application services, containers, CI/CD pipelines, infrastructure automation, or application monitoring
• Experience with Microsoft Azure AI services, Azure OpenAI Service, Amazon Bedrock, or comparable AI platforms
• Familiarity with open-source language models, model evaluation, inference optimization, or model fine-tuning
• Familiarity with responsible AI, privacy, security, accessibility, and human-centered AI development practices
• Experience developing solutions for government clients or within environments that require formal security, documentation, and approval processes
• Experience guiding junior developers or reviewing the work of other technical team members
• Relevant technical, cloud, AI, agile delivery, or software-development certifications

What we look for

We are looking for delivery-focused developers who enjoy turning ideas and requirements into working technology. You should be comfortable independently owning features or technical workstreams, solving difficult development problems, and helping less experienced team members produce high-quality results.

We value professionals who combine curiosity about emerging technology with disciplined engineering practices. The successful candidate will be able to build rapidly when exploring a new idea while also understanding the testing, documentation, security, and maintainability required to deliver dependable solutions.