Senior AI/ML Forward-Deployed Engineer - Financial Services

EY; Atlanta (GA); On-site; USD 135,000 - 202,000; Full time

Job summary

EY is seeking an experienced AI/ML engineer to design, develop, and deploy production-grade AI/ML and intelligent automation solutions for global clients. The role involves building LLM-based components, integrating with enterprise platforms, and collaborating across engineering, product, and data teams.

Applicants should have 3+ years in software engineering, strong Python/Java/TypeScript skills, and a degree in a related field.

Qualifications

• Hands-on software engineering in Python/Java/TypeScript and AI/ML.
• 3+ years in software engineering, application development, or systems integration, with meaningful AI/ML experience.
• Degree in Computer Science, Engineering, or related field or equivalent practical experience.

Responsibilities

• Design, develop, test, deploy, and support production-grade AI/ML, generative AI, and intelligent automation solutions.
• Solve complex technical problems through coding, debugging, testing, troubleshooting, and structured design remediation.
• Translate business requirements into technical designs, APIs, workflows, and supportable implementation patterns.
• Build and integrate LLM, RAG, and agentic solution components into enterprise applications and platforms.
• Contribute to system design across service boundaries, data flows, and security controls.
• Support project delivery through disciplined execution, estimation, documentation, status communication, and risk identification.
• Partner with Development, Engineering, Product, Data, Architecture teams to deliver high-value AI capabilities.

Skills

Python

Java

TypeScript

AI/ML engineering

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

RESTful APIs

Docker

Kubernetes

LangChain

Job description

EY is seeking an experienced AI/ML engineer to design, develop, and deploy production-grade AI/ML and intelligent automation solutions for global clients. The role involves building LLM-based components, integrating with enterprise platforms, and collaborating across engineering, product, and data teams.

Applicants should have 3+ years in software engineering, strong Python/Java/TypeScript skills, and a degree in a related field.