Government and Public Sector - Service Delivery Center - AI Solution Senior Developer
Ernst and Young18 days ago
Base Salary
$66k - $152k/yr
Responsibilities
- Design, develop, test, deploy, and improve AI-enabled applications, proofs of concept, prototypes, and reusable technical components.
- Own defined features or technical workstreams from requirements and design through implementation and delivery.
- Translate business, functional, and technical requirements into solution components, development tasks, acceptance criteria, and testable outcomes.
- Develop AI-enabled web applications, APIs, application services, data integrations, prompt workflows, and enterprise-data connections.
- Integrate generative AI models and services through APIs, cloud services, and approved open-source frameworks.
- Build retrieval-augmented generation solutions, enterprise-search capabilities, intelligent assistants, and AI-enabled workflow automations.
- Evaluate technical approaches, frameworks, models, and tools within security, architecture, client-environment, and delivery constraints.
- Troubleshoot application, model-integration, data, performance, and deployment issues and communicate risks, dependencies, defects, and blockers.
- Apply source control, testing, code review, documentation, security, deployment, and maintainability standards.
- Review technical work and guide Staff professionals and other team members through development tasks and technical challenges.
- Collaborate with engagement teams, technical specialists, data engineers, AI and machine learning specialists, designers, and client stakeholders.
- Create technical documentation covering solution designs, data flows, integrations, configuration, testing, and deployment.
- Contribute reusable components, development patterns, lessons learned, and responsible AI practices across engagements.
Requirements
- Bachelor’s degree and a minimum of 3–5+ years of related professional experience.
- Ability to obtain and maintain Secret clearance or higher.
- 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 similar.
- Experience with JavaScript or TypeScript and a modern frontend framework such as React, Next.js, Vue, Angular, Svelte, or similar.
- 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 in 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, presentation, prioritization, issue tracking, and risk communication skills.
- Preferred experience with RAG using vector databases, enterprise-search services, embeddings, and related technologies.
- Preferred experience developing intelligent assistants, AI-enabled workflows, agent-based applications, or secure production AI environments.
- Preferred experience with cloud-native services, containers, infrastructure automation, application monitoring, Microsoft Azure AI services, Azure OpenAI Service, Amazon Bedrock, or comparable AI platforms.
- Preferred familiarity with open-source language models, model evaluation, inference optimization, model fine-tuning, responsible AI, privacy, security, accessibility, and human-centered AI practices.
- Preferred experience with government clients or formal security, documentation, and approval processes; experience guiding junior developers; and relevant technical, cloud, AI, agile delivery, or software-development certifications.
Benefits
- Base salary ranges from $65,500 to $134,000 across US geographic locations and from $78,600 to $152,100 in the New York City Metro Area, Washington State, and California excluding Sacramento.
- Medical and dental coverage, pension and 401(k) plans, and paid time off options.
- Hybrid, team-led and leader-enabled working model, with most client-serving employees working in person 40–60% of the time and this role expected to include 60% in-person engagement as needed.
- Flexible vacation policy plus EY-paid holidays, winter and summer breaks, personal and family care time, and other leaves of absence.
- Flexible environment, professional development, inclusive culture, and future-focused skills and experiences.
Tech Stack
Categories