Strategy and Execution - Platforms - AI ML Engineering - Director

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

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

Locations:
Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle.

At EY, we help shape your future with confidence. Join EY and build a better working world.

Overview Your

Key Responsibilities

• Build and maintain the core advanced analytics platform and lead the technical execution for high-visibility client engagements.
• Translate business needs into technically executable ML agentic workflows and guide a high-performing team of engineers and contractors through end-to-end project life cycles.
• Design and build robust data pipelines that are scalable, reproducible, and versioned.
• Own delivery of AI/ML-powered components from prototype to production (REST APIs, dashboards, or embedded agents).

Skills And Attributes For Success

• Translate business needs into executable AI workflows, data pipelines, and client-specific product specifications.
• Define 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 (e.g., Lang Chain, Llama Index).
• Collaborate with Data Engineering and Dev Ops on pipeline integration, data normalization, and system deployment.
• Set coding standards and mentor junior engineers; perform model/code reviews and scope and roadmap refinement.

Qualifications

• Bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or related field and 5 years of related work experience; or 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 XGBoost, Logistics Regression, or similar.
• Strong understanding of real‑world structured data merging, schema linking, and model evaluation at scale.
• Fluency in Python, PyTorch or Tensor Flow, with ability to architect APIs around ML models.
• Proven experience designing, building, and maintaining ML models, frameworks, and pipelines.
• Experience working with and/or leading cross‑functional business/engineering teams to deliver complex solutions.
• Excellent communication skills, with the ability to convey complex, technical concepts and progress, methodologies, solutioning, and results to business and client stakeholders.
• Willingness to travel and work in excess of standard hours when necessary.

Ideal Qualifications

• Experience building and deploying AI/ML products or features in production.
• Experience in a startup and/or management/strategy consulting.
• Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot.
• Collaborative, problem‑solving, and growth‑oriented mindset.

What We Look For

We’re interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.

What We Offer

We offer a comprehensive compensation and benefits package. Base salary range: $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. Total Rewards includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off.

Application CTA

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Equal Opportunity Statement

EY is an equal‑opportunity and affirmative‑action employer. EY complies with federal, state, and local law and provides an inclusive, diverse, and equitable workplace. All employees have access to all business resources and are treated fairly and equally. EY protects and respects all employees, customers, and partners. EY follows all federal, state, and local laws and provides equal opportunities to all applicants and employees regardless of gender, age, race, religious belief or any other legally protected characteristic.

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and Accommodations

EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at

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