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Strategy and Execution - Platforms - AI ML Engineering - Director

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: EY-Parthenon
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 205000 - 235000 USD Yearly USD 205000.00 235000.00 YEAR
Job Description & How to Apply Below
Position: EY-Parthenon - Strategy and Execution - Growth Platforms - AI ML Engineering - Director
EY-Parthenon – Growth Platforms – AI/ML Engineering – Director

Location:

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

At EY, we’re all‑in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help build a better working world.

Key Responsibilities

• Build and maintain the core advanced analytics platform, serving as the technical execution lead for high‑visibility client engagements.

• Translate business needs into technically executable ML agentic workflows, guiding a high‑performing team of engineers and contractors through end‑to‑end project life cycles.

Skills And Attributes For Success

• 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 (e.g., Lang Chain, Llama Index).

• Design and build robust data pipelines that are scalable, reproducible, and versioned.

• Collaborate with Data Engineering and Dev Ops on pipeline integration, data normalization, and system deployment.

• Set coding standards, mentor junior engineers, perform model/code reviews, and refine scope and roadmap.

• Own delivery of AI/ML‑powered components from prototype to production (REST APIs, dashboards, or embedded agents).

Qualifications

• A bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or another related field and 5 years of related work experience; or a graduate degree and ~3 years of related work experience.

• Full‑time, hands‑on experience applying AI/ML to solve real‑world problems.

• Strong experience with ML models such as XGBoost, Logistic Regression, or similar.

• Solid understanding of structured data merging, schema linking, and model evaluation at scale.

• Deep knowledge of ML workflows including data ingestion, transformation, and evaluation for meaningful predictions.

• Fluency in Python and experience with PyTorch or Tensor Flow; ability to architect APIs around ML models.

• Proven experience designing, building, and maintaining ML models, frameworks, and pipelines.

• Experience leading cross‑functional business/engineering teams to deliver complex solutions.

• Excellent communication skills to convey complex technical concepts to business and client stakeholders.

• Willingness to travel and work beyond standard hours when necessary.

Desired Experience

• Experience building and deploying AI/ML products or features in a production environment.

• Experience in a startup or management/strategy consulting setting.

• Knowledge of leveraging 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 a 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

• A comprehensive compensation and benefits package with a base salary range of $205,000 to $235,000 for all U.S. locations.

• Medical, dental, pension, and 401(k) plans, along with a wide range of paid time off options.

• A flexible vacation policy, including time off for EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves.

• Hybrid work model with 40‑60 % in‑person expectations for client‑serving roles.

For those living in California,  for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY accepts applications for this position on an on‑going basis.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Other

Industry

Business Consulting and Services

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals 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 contact EY Talent Shared Services or email .

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