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EY-Parthenon - Strategy and Execution - Growth Platforms - AI ML Engineering - Director

EY-Parthenon
Atlanta, GA Full-time 2/5/2026 $205k - $235k per year
Master's with 2+ Years of Experience
Approval 99.2%•Total filings 2,338•New hires 700•
✓ Established Sponsor
•FY 2025

Job Description

The EY Growth Platforms AI ML Engineering Director will lead the design, development, and scaling of innovative AI solutions for Fortune 500 clients. This role involves collaborating with business leaders and technical teams to translate business needs into executable AI workflows and overseeing the delivery of AI/ML components from prototype to production.

Requirements

  • Bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience.
  • Full-time, hands-on experience applying AI/ML to solve real-world problems.
  • Strong experience using ML models such as XGBoost, Logistic Regression or similar.
  • Strong understanding of real-world structured data merging, schema linking, and model evaluation at scale.
  • Fluency in Python, PyTorch or TensorFlow, with ability to architect APIs around ML models.
  • Proven experience designing, building, and maintaining ML models, frameworks, and pipelines.
  • Excellent communication skills to convey complex technical concepts to business stakeholders.

Responsibilities

  • Partner with Business and Strategy Leads to translate business needs into executable AI workflows, data pipelines, and client-specific product specifications.
  • Define the end-to-end architecture for agents that integrate LLMs, retrieval-augmented generation (RAG), multi-source data ingestion, and analytics components.
  • Lead model selection, feature engineering, embedding strategy, and prompt frameworks.
  • Design and build robust data pipelines that are scalable, reproducible, and versioned.
  • Collaborate with Data Engineering and DevOps on pipeline integration, data normalization, and system deployment.
  • Set coding standards and mentor junior engineers; perform model/code reviews and scope refinement.
  • Own delivery of AI/ML-powered components from prototype to production.

Benefits

  • Ernst & Young (EY) offers a comprehensive and competitive benefits package designed to support the well-being of its employees across various dimensions.

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