AI Strategy Lead — Enterprise Tech Consulting

EY; St. Louis (MO); Híbrido; USD 126 000 - 230 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical and dental coverage

Pension and 401(k)

Paid time off

Resumo da oferta

EY's Artificial Intelligence and Data practice is expanding, seeking an AI Manager to lead AI strategy and delivery for diverse client engagements. You will work with data scientists, engineers, and cloud teams to design scalable AI solutions, apply GenAI frameworks, and guide ModelOps implementations.

Travel to client sites is expected. You will join a high-visibility group that values innovative thinking, collaboration, and cutting-edge data engineering to drive business outcomes in a globally

Qualificações

• Bachelor’s degree or MS in a relevant field as listed.
• Minimum of 5 years of professional consulting experience.
• Experience with Generative AI models and frameworks (OpenAI, LLMs).
• Experience with ML packages such as scikit-learn, PyTorch, ONNX.
• Strong Python, CI/CD, and data manipulation skills (SQL, Pandas, Spark).
• Understanding of ML workflows and ModelOps concepts.

Responsabilidades

• Lead development and execution of AI strategies for clients.
• Design and deliver scalable AI/ML solutions across client platforms.
• Collaborate with Data Scientists, Data Engineers, Cloud/DevOps teams.
• Ensure AI solutions are properly engineered and maintained.
• Provide guidance on ModelOps and regulatory considerations.

Formação académica

Bachelor’s degree or MS in a relevant field

Master’s degree in Computer Science/Math/Physical Sciences

Ferramentas

Python

SQL

Pandas

Spark

scikit-learn

PyTorch

ONNX

MLFlow

Langchain

RAG

Descrição da oferta de emprego

EY's Artificial Intelligence and Data practice is expanding, seeking an AI Manager to lead AI strategy and delivery for diverse client engagements. You will work with data scientists, engineers, and cloud teams to design scalable AI solutions, apply GenAI frameworks, and guide ModelOps implementations.

Travel to client sites is expected. You will join a high-visibility group that values innovative thinking, collaboration, and cutting-edge data engineering to drive business outcomes in a globally