EY-Parthenon
EY-Parthenon - Strategy and Execution - Growth Platforms - AI ML Engineering - D
EY-Parthenon, Denver, Colorado, United States, 80285
Overview
EY-Parthenon – Strategy and Execution – Growth Platforms – AI ML Engineering – Director role at EY-Parthenon. Location options include Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle. EY is committed to shaping your future with confidence and helping you succeed within a globally connected, diverse team. EY-Parthenon combines transformative strategy, transactions and corporate finance to deliver real-world value for clients, leveraging AI-powered technology and an investor mindset. Responsibilities
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 enterprise value for Fortune 500 clients. Serve as the technical execution lead for high-visibility client engagements and translate business needs into technically executable ML agentic workflows. Guide a high-performing team of engineers and contractors through end-to-end project lifecycles. Build and maintain core advanced analytics platforms; own delivery of AI/ML-powered components from prototype to production (REST APIs, dashboards, or embedded agents). 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 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 and deployment. Set coding standards, mentor junior engineers, perform model/code reviews, and refine scope and roadmaps. Qualifications
A bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or related field and 5 years of related experience; or a graduate degree with ~3 years of related 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 data merging, schema linking, and model evaluation at scale. Strong understanding of ML workflows including data ingestion, analysis, transformation, and evaluation to inform decisions. 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 progress to business and client stakeholders. The ability and willingness to travel and work extended hours when necessary. Ideally, you will have
Experience building and deploying AI/ML products in production. Experience in startup environments or management/strategy consulting. Knowledge of leveraging AI tools in business settings (e.g., Microsoft Copilot). Collaborative, problem-solving, and growth-oriented mindset. What We Look For
We’re looking for passionate leaders with vision and a habit of staying on top of data science and big data trends. A genuine passion for helping businesses maximize the value of their data is essential. What We Offer You
Comprehensive compensation and benefits; base salary range in the US is $205,000–$235,000 plus Total Rewards including health coverage, pension/401(k), and paid time off. Hybrid model with most client-serving roles requiring in-person collaboration 40–60% of the time. Flexible vacation policy with designated EY holidays and time off for personal/Family care and other leaves to support well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis. For California applicants, additional information is available. EY is committed to equal employment opportunities and to providing reasonable accommodations where needed. If you require assistance applying online or during any part of the application process, please contact EY’s Talent Shared Services Team. Seniority level
Mid-Senior level Employment type
Full-time Job function
Other Industries: Business Consulting and Services
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EY-Parthenon – Strategy and Execution – Growth Platforms – AI ML Engineering – Director role at EY-Parthenon. Location options include Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle. EY is committed to shaping your future with confidence and helping you succeed within a globally connected, diverse team. EY-Parthenon combines transformative strategy, transactions and corporate finance to deliver real-world value for clients, leveraging AI-powered technology and an investor mindset. Responsibilities
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 enterprise value for Fortune 500 clients. Serve as the technical execution lead for high-visibility client engagements and translate business needs into technically executable ML agentic workflows. Guide a high-performing team of engineers and contractors through end-to-end project lifecycles. Build and maintain core advanced analytics platforms; own delivery of AI/ML-powered components from prototype to production (REST APIs, dashboards, or embedded agents). 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 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 and deployment. Set coding standards, mentor junior engineers, perform model/code reviews, and refine scope and roadmaps. Qualifications
A bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or related field and 5 years of related experience; or a graduate degree with ~3 years of related 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 data merging, schema linking, and model evaluation at scale. Strong understanding of ML workflows including data ingestion, analysis, transformation, and evaluation to inform decisions. 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 progress to business and client stakeholders. The ability and willingness to travel and work extended hours when necessary. Ideally, you will have
Experience building and deploying AI/ML products in production. Experience in startup environments or management/strategy consulting. Knowledge of leveraging AI tools in business settings (e.g., Microsoft Copilot). Collaborative, problem-solving, and growth-oriented mindset. What We Look For
We’re looking for passionate leaders with vision and a habit of staying on top of data science and big data trends. A genuine passion for helping businesses maximize the value of their data is essential. What We Offer You
Comprehensive compensation and benefits; base salary range in the US is $205,000–$235,000 plus Total Rewards including health coverage, pension/401(k), and paid time off. Hybrid model with most client-serving roles requiring in-person collaboration 40–60% of the time. Flexible vacation policy with designated EY holidays and time off for personal/Family care and other leaves to support well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis. For California applicants, additional information is available. EY is committed to equal employment opportunities and to providing reasonable accommodations where needed. If you require assistance applying online or during any part of the application process, please contact EY’s Talent Shared Services Team. Seniority level
Mid-Senior level Employment type
Full-time Job function
Other Industries: Business Consulting and Services
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