Forward-Deployed AI Engineer & Model Lead

EY; Dallas (TX); On-site; USD 126,000 - 230,000; Full time

Job summary

EY in the United States is seeking a Forward Deployed Engineer Manager to shape and deliver innovative AI, machine learning, and generative AI solutions for clients. You’ll sit with clients and global teams to design scalable analytics platforms and ensure responsible deployment.

Lead multidisciplinary teams, manage delivery from discovery to production, and coach engineers on AI-native tools while maintaining strong business and technical partnerships.

Qualifications

• Bachelor's degree required (4-year degree).
• 6-10 years of AI, data science, or machine learning experience.
• 2-4 years of direct technical team leadership.
• Strong Python skills and experience with ML/AI frameworks.
• Willingness to travel for client engagements.

Responsibilities

• Lead client-embedded AI workstreams from opportunity identification to delivery and optimization.
• Redesign processes for human-AI collaboration and continuous improvement.
• Manage lean, multidisciplinary teams delivering complex AI initiatives.
• Build trust with stakeholders and lead product and agile delivery from planning to closure.
• Define solution architecture and guide hands-on development of agentic AI systems.
• Establish governance, security, and observability for AI deployments.
• Mentor teams on AI-native tools to accelerate delivery without compromising quality.

Skills

Client leadership

Solutioning

Communication

Team leadership

Technical design

Education

Bachelor's degree

Tools

Python

OpenAI / LangChain

ML frameworks (PyTorch, scikit-learn)

CI/CD tools (GitHub, Azure DevOps)

Job description

EY in the United States is seeking a Forward Deployed Engineer Manager to shape and deliver innovative AI, machine learning, and generative AI solutions for clients. You’ll sit with clients and global teams to design scalable analytics platforms and ensure responsible deployment.

Lead multidisciplinary teams, manage delivery from discovery to production, and coach engineers on AI-native tools while maintaining strong business and technical partnerships.