EY-Parthenon Senior Director, AI ML Engineering

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

 

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 to build a better working world.

 

EY-Parthenon Senior Director, Growth Platforms AI ML Engineering Senior Director, US

 

As the Growth Platforms AI ML Engineering Senior Director, you will collaborate with Business Leaders, Data Scientists, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients.

 

The opportunity

The Growth Platforms AI ML Engineering Senior Director will play a critical role building and maintaining our core advanced analytics platform and serving the technical execution lead for high-visibility client engagements. You’ll work with Business leaders and C-level executives to translate business needs into technically executable ML agentic workflows and guide a high-performing team of engineers and contractors through end-to-end project lifecycles.

 

Your key 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 design, embedding strategy, and prompt frameworks (e.g., LangChain, LlamaIndex).
• 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 LOE, scope and roadmap refinement
• Own delivery of AI/ML-powered components from prototype to production (REST APIs, dashboards, or embedded agents)

 

To qualify for the role you must have

• 5+ years of full-time, hands-on experience applying AI/ML to solve real-world problems.
• Familiarity with multi-modal agent frameworks (LangChain, Haystack, RAG pipelines).
• Expertise in vector databases (e.g., Pinecone, Weaviate, Chroma), retrieval systems, and LLM fine-tuning.
• Strong understanding of real-world structured data merging, schema linking, and model evaluation at scale.
• Strong understanding of ML workflow including ingesting, analyzing, transforming data, and evaluating results to make meaningful predictions.
• 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.
• 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.
• Prior experience working on consulting engagements is preferred by not required.

 

Ideally, you’ll also have

• Degree in Computer Science, Mathematics, or other quantitative field.
• Experience building and deploying AI/ML products or features in a production environment.
• Experience working in a startup and/or management/strategy consulting
• Experience in insurance, financial services, CPG, supply chain, or other industries
• 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 you
At EY, we’ll develop