Service Delivery Center, AI & Data, AI Developer - Manager
13 hours ago
San Antonio
Location: San Antonio Other locations: Anywhere in Region Salary: Competitive Date: Sep 23, 2026 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. The Opportunity Leads the delivery of solution or infrastructure development services for large or complex AI/ML initiatives, applying strong technical capability and hands-on engineering experience. Takes accountability for the design, development, delivery, and maintenance of AI-enabled solutions or infrastructure, while ensuring compliance with and contribution to relevant engineering standards. Understands business and user requirements and translates them into design specifications that are effective from both business and technical perspectives. Owns the implementation and integration of AI/ML capabilities into broader enterprise solutions, with a focus on reliability, scalability, user impact, and successful project delivery. Your key responsibilities: • Manage design, development, testing, deployment, and support for production-grade AI/ML, generative AI, and intelligent automation solutions., • Manage complex technical problems through coding, debugging, testing, troubleshooting, and structured design remediation., • Manage build and integration of LLM, RAG, and agentic solution components into enterprise applications and platforms., • Contribute to system design across service boundaries, orchestration layers, data flows, security controls, and external integrations., • Lead workstreams or project delivery responsibilities through planning, coordination, execution oversight, issue management, and stakeholder communication., • Drive engineering quality through strong coding standards, CI/CD practices, automated testing, observability, and documentation., • Partner with Development, Engineering, Product, Data, Architecture, and engagement leadership teams to deliver high-value AI capabilities., • Improve performance, resilience, maintainability, and cost efficiency of deployed AI systems., • Participate in architecture and design reviews, providing thoughtful trade-off analysis and implementation guidance., • Use modern AI-assisted software engineering tools such as Claude Code, Codex, or equivalent agentic coding platforms as part of delivery leadership and engineering execution. AI and Engineering Skills: • Gen AI Foundational: Ability to understand complex technical business challenges across banking, capital markets, insurance, and asset management and translate them into LLM-powered solutions that deliver measurable business value, • Practical experience leading and managing multi-disciplinary teams through the full AI product lifecycle requirements, architecture, build, evaluation, and production handoff, • Demonstrated experience managing and mentoring teams of AI engineers and data scientists through the execution of specific business use cases, ensuring technical quality and delivery consistency across engagements, • Advanced hands-on software engineering proficiency in Python, with the credibility to guide implementation decisions as well as architecture across delivery teams, • Demonstrated experience architecting and delivering production-grade LLM applications including retrieval-augmented systems, agentic orchestration layers, and structured output pipelines at enterprise scale (e.g. LlamaIndex, LangChain, Azure OpenAI, AWS Bedrock), • Strong knowledge of embedding models, vector search, semantic retrieval, and NLP similarity systems used in enterprise RAG and knowledge AI architectures (e.g. OpenAI Embeddings, Cohere Embed, Azure AI Search, FAISS etc.), • Agentic and LLM Ops: Deep expertise in LLM Ops practices including model lifecycle management, versioning, CI/CD for AI systems, deployment governance, and continuous improvement loops in production environments (e.g. MLflow, Azure ML, GitHub Actions, Kubeflow etc.), • Execute on agentic system architecture including multi-agent orchestration, tool use patterns, memory design, and human-in-the-loop workflows for high-stakes production environments (e.g. LangGraph, AutoGen, Semantic Kernel, CrewAI, NVIDIA NIM etc.), • Experience governing agent behavior in production environments including audit trail design, cost and latency controls, and reliability management across complex multi-agent pipelines, • Demonstrated exploration of new LLM techniques and emerging agentic patterns, with the ability to assess their applicability to client challenges and translate them into practical delivery approaches, • Ability to drive performance, resilience, maintainability, and cost efficiency improvements in deployed LLM and agentic systems, including post-deployment optimization and operational tuning, • Knowledge of MLOps practices for continuous integration and continuous deployment of AI systems in cloud environments, including containerization and orchestration for scalable and secure LLM deployment (Azure DevOps, GitHub Actions, Kubeflow, MLFlow etc.), • Experience governing API design standards for LLM and agentic systems including contract design, versioning, error handling, retry semantics, and decoupling of AI service consumers from internal model and workflow topology, • Strong system design capability across service boundaries, asynchronous workflows, data contracts, cloud-native patterns, and secure deployment models for AI-enabled applications, • Proficiency in containerization and orchestration for deploying and managing scalable LLM applications in production cloud environments (e.g. Docker, Kubernetes, Azure Container Apps, AWS ECS etc.), • Ability to collaborate with data engineers, ML engineers, and business stakeholders to align LLM solution design with enterprise data and technology constraints To qualify for the role you must have: • A bachelor's or master's degree, • Minimum of 6 years of applied engineering experience, including significant experience in AI/ML engineering roles., • Clear communicator able to explain complex AI system behavior and trade-offs to technical and non-technical stakeholders, including risk and compliance., • Strong ownership and accountability, taking responsibility for AI systems from design through production and issue resolution., • Collaborative and cross-functional, working closely with engineering, product, risk, legal, and audit teams. What we offer you: At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is: • New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices $91,400 to $190,000, • Bay Area California offices $95,300 to $197,900, • All other offices locations in the US, including Sacramento $76,200 to $174,100 Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. Are you ready to shape your future with confidence? Apply today. To make the most of your application experience, please limit yourself to two applications within a six-month period. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. At EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. All in to shape the future with confidence. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran