Overview EY-Parthenon – Strategy and Execution – Growth Platforms – AI ML Engineering – Senior Director. Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle. EY focuses on building a better working world through diverse teams and advanced technology, including data and AI, to help clients shape their future with confidence. EY-Parthenon’s Growth Platforms combines transformative strategy, transactions and corporate finance to deliver practical value. We partner with CEOs, Boards, Private Equity and Governments to enable growth through AI-powered technology and scalable analytics platforms. Your Role The EY Growth Platforms AI ML Engineering Senior Director 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 Fortune 500 clients. You will serve as the technical execution lead for high-visibility client engagements, translating business needs into technically executable ML workflows and guiding a team of engineers and contractors through end-to-end project lifecycles. 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). Qualifications A bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or related field and 8 years of related work experience; or a graduate degree with approximately 7 years of related work experience. 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 data ingestion, analysis, transformation, and evaluation 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 leading cross-functional business/engineering teams to deliver complex solutions. Excellent communication skills to convey technical concepts and results to business and client stakeholders. Willingness to travel and work extended hours when necessary. Preferred Experience building and deploying AI/ML products or features in production. Experience in startup and/or management/strategy consulting. Knowledge of leveraging AI tools in business, including Microsoft Copilot. Collaborative, problem-solving, and growth-oriented mindset. What We Look For We seek passionate leaders with vision and an interest in staying on top of Data Science and Big Data trends. If you enjoy helping businesses unlock their data potential, this role is for you. What We Offer You EY will develop you with future-focused skills and world-class experiences. We offer a flexible environment and a diverse, inclusive culture of globally connected teams. Learn more. Comprehensive compensation and benefits with a base salary range for this role in the US of $250,000 to $290,000; total rewards include medical and dental coverage, pension and 401(k), and paid time off. Salaries are finalized based on education, experience, knowledge, skills, and geography. Hybrid model: most client-facing work expects 40-60% in person over engagements, projects, or year. Flexible vacation policy and paid holidays, personal/family care leave, and other well-being accommodations. Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis. For California residents, additional information is available. EY is committed to equal employment opportunities and provides reasonable accommodation to qualified individuals with disabilities. If you need assistance, contact EY’s Talent Shared Services Team. Note Seniority level: Mid-Senior level • Employment type: Full-time • Job function: Other • Industries: Business Consulting and Services

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