Senior AI Engineering Leader - Forward Deployed

EY

Trenton (NJ)

Hybrid

USD 144,000 - 329,000

Full time

2 days ago

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Job summary

EY is investing in its AI, data, and engineering practice in the United States. You will lead forward-deployed AI engineering teams, diagnose opportunities, and translate client ambition into scalable AI solutions across data science, ML operations, and cloud platforms.

The role emphasizes hands-on leadership, client-facing engagement, and delivering measurable business value. You will work with diverse teams in hybrid on-site and remote settings, shaping architecture and governance for

Qualifications

Bachelor’s or MS in Business, Technology, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
8–10+ years of professional consulting experience in business or technology.
3–5+ years of experience directly managing technical teams and/or consulting teams.
Experience deploying foundation models, generative AI, and agentic AI frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).

Responsibilities

Lead lean, client-embedded engineering teams to diagnose opportunities and shape AI strategy at scale.
Oversee end-to-end delivery of production-grade machine learning, generative AI, and agentic AI solutions.
Collaborate with data scientists, cloud engineers, MLOps, and platform engineers to implement client solutions.
Establish evaluation, observability, security, and cost-management standards for production AI systems.
Lead opportunity qualification, proposals, and delivery economics for forward-deployed AI work.