Senior AI Developer - LLM & Enterprise AI Solutions

Ernst & Young Advisory Services Sdn Bhd; San Antonio (TX); Hybrid; USD 66,000 - 134,000; Full time

Job summary

EY is seeking a Senior AI Developer to lead the design, development, and integration of AI/ML solutions, including end-to-end LLM pipelines and agentic systems. The role emphasizes production-grade delivery, performance improvements, and collaboration with cross-functional teams.

Candidates should have strong Python software engineering skills and experience with modern AI tooling, model observability, and cloud-based deployment. Hybrid work model and global opportunities are offered.

Qualifications

• Bachelor's or Master's degree in a related field.
• 2+ years of AI/ML engineering or related experience.
• Clear communicator able to explain complex AI system behavior to stakeholders.
• Strong ownership and accountability for AI systems from design to production.
• Ability to adapt to evolving requirements, regulations, and technologies.

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 implementable patterns.
• Build and integrate LLM, RAG, and agentic components into enterprise solutions.
• Support project delivery through disciplined execution, estimation, documentation, status communication, and risk identification.
• Participate in design reviews with thoughtful trade-off analysis.

Skills

Python

LLM pipelines

Agentic systems

LangChain

Pinecone

Weaviate

Azure AI Search

pgvector

Docker

Kubernetes

Education

Bachelor's or Master’s degree

Tools

Docker

Kubernetes

Azure Container Apps

AWS ECS

Job description

EY is seeking a Senior AI Developer to lead the design, development, and integration of AI/ML solutions, including end-to-end LLM pipelines and agentic systems. The role emphasizes production-grade delivery, performance improvements, and collaboration with cross-functional teams.

Candidates should have strong Python software engineering skills and experience with modern AI tooling, model observability, and cloud-based deployment. Hybrid work model and global opportunities are offered.