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

EY•San Antonio, TX

23h•$65,500 - $152,100•Hybrid

About The Position

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 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.

Requirements

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
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

Nice To Haves

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

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