Senior AI Engineer — LLM & GenAI Solutions

EY; San Antonio (TX); Hybrid; USD 66,000 - 134,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off options

Job summary

EY is seeking an AI/ML engineering professional in the United States to deliver production-grade AI/ML, generative AI, and agentic solutions. The role emphasizes building end-to-end pipelines, retrieval-augmented systems, and scalable enterprise integrations with cloud providers and modern tooling.

You will collaborate with cross-functional teams, explore responsible AI practices, and contribute to design reviews while leveraging Docker, Kubernetes, LangChain, and LangGraph to accelerate

Qualifications

• Bachelor's or master's degree required.
• Minimum 2 years of related AI/ML engineering experience.
• Strong ability to communicate complex AI system behavior to stakeholders.
• Collaborative and cross-functional with engineering and product teams.

Responsibilities

• Develop, test, deploy, and support production-grade AI/ML, generative AI, and intelligent automation solutions.
• Solve complex technical problems across development, integration and production support through coding, debugging, testing, troubleshooting, and structured design remediation.
• Translate user requirements into technical designs, APIs, workflows, and supportable implementation patterns.
• Build and integrate LLM, RAG, and agentic solution components into enterprise solutions, applications and platforms.
• Support project delivery through disciplined execution, estimation, documentation, status communication, and risk identification.
• Participate in design reviews, providing thoughtful trade-off analysis and implementation input.
• Use modern AI-assisted software engineering tools such as Claude Code, Codex, or equivalent agentic coding platforms as part of day-to-day engineering delivery to improve delivery speed, code quality and engineering efficiency.

Skills

Python

LLM applications

RESTful APIs

Docker

Kubernetes

AI/ML engineering

Education

Bachelor's degree

Master's degree

Tools

LangChain

LangGraph

NVIDIA NIM

Job description

EY is seeking an AI/ML engineering professional in the United States to deliver production-grade AI/ML, generative AI, and agentic solutions. The role emphasizes building end-to-end pipelines, retrieval-augmented systems, and scalable enterprise integrations with cloud providers and modern tooling.

You will collaborate with cross-functional teams, explore responsible AI practices, and contribute to design reviews while leveraging Docker, Kubernetes, LangChain, and LangGraph to accelerate