Senior AI Field Engineer - Remote & Client-Facing

EY; Raleigh (NC); À distance; USD 107 000 - 177 000; Plein temps

Résumé du poste

EY is seeking a Senior Forward Deployed Engineer to lead AI/ML and generative AI initiatives for diverse clients. You will diagnose business challenges, identify high‑value AI opportunities, and build scalable AI/ML solutions deployed on cloud or on‑premises. Expect heavy client interaction and a fast‑paced environment.

You will enhance data pipelines, own delivery from shaping to deployment, and collaborate with data and analytics professionals to deliver responsible and measurable outcomes.

Qualifications

• Bachelor's degree required (4-year degree).
• 3−6 years of full‑time working experience in AI and/or Machine Learning.
• Strong skills in Python.
• Experience identifying, solutioning, designing, building, deploying, and maintaining high‑impact AI/ML solutions on a major cloud platform.
• Proficient in foundation models, generative AI, and agentic AI frameworks.
• Experience with ML packages like scikit‑learn and PyTorch.
• Experience with natural language processing and deep learning.
• Extensive experience in AI‑assisted and DevOps tools and CI/CD pipelines.
• Experience with MLOps, LLMOps, and AgentOps and ML workflows.
• Experience with model retraining and feedback loops.

Responsabilités

• Translate ambiguous business challenges into scoped AI opportunities.
• Research and implement scalable ML, generative AI, and agentic systems.
• Design AI‑native applications, agentic workflows, reusable tools, and integrations.
• Deploy, evaluate, monitor, and optimize learning processes.
• Travel as needed to engage with external clients.
• Create evaluations, observability, access controls, and safeguards.

Connaissances

Python

Machine Learning

Generative AI

Agentic AI

Formation

Bachelor's degree

Master's degree

Outils

Claude

Codex

Cursor

GitHub

Azure DevOps

Description du poste

EY is seeking a Senior Forward Deployed Engineer to lead AI/ML and generative AI initiatives for diverse clients. You will diagnose business challenges, identify high‑value AI opportunities, and build scalable AI/ML solutions deployed on cloud or on‑premises. Expect heavy client interaction and a fast‑paced environment.

You will enhance data pipelines, own delivery from shaping to deployment, and collaborate with data and analytics professionals to deliver responsible and measurable outcomes.