EY-Parthenon
EY-Parthenon - Strategy and Execution - Growth Platforms - AI ML Engineering - D
EY-Parthenon, Detroit, Michigan, United States, 48228
EY-Parthenon – Strategy and Execution – Growth Platforms – AI ML Engineering – Director
Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle.
Base pay range: $205,000 - $235,000 per year.
Overview EY-Parthenon’s unique combination of transformative strategy, transactions and corporate finance delivers real-world value. With deep functional expertise and innovative AI-powered technology, we partner with CEOs, Boards, Private Equity and Governments to shape future growth.
Key Responsibilities
Build and maintain the core advanced analytics platform and lead 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 lifecycles.
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.
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 design, embedding strategy, and prompt frameworks (LangChain, LlamaIndex).
Design scalable, reproducible, versioned data pipelines.
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, roadmap refinement.
Own delivery of AI/ML-powered components from prototype to production (REST APIs, dashboards, embedded agents).
Qualifications
Bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or related field and 5 years of related work experience; or a graduate degree and approximately 3 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 (Pinecone, Weaviate, Chroma), retrieval systems, and LLM fine‑tuning.
Strong understanding of structured data merging, schema linking, and model evaluation at scale.
Fluency in Python, PyTorch or TensorFlow, and ability to architect APIs around ML models.
Experience designing, building, and maintaining ML models, frameworks, and pipelines.
Experience leading cross‑functional business/engineering teams to deliver complex solutions.
Excellent communication skills; ability to convey complex technical concepts to business stakeholders.
Willingness to travel and work beyond standard hours when necessary.
Ideally, You Will Have
Experience building and deploying AI/ML products or features in a production environment.
Experience working 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.
What We Offer
Comprehensive compensation and benefits package; base salary $205,000 - $235,000 plus medical, dental, pension, 401(k), paid time off.
Hybrid model: work in person 40‑60% of the time.
Flexible vacation policy; early and late vacation flexibility; paid holidays and breaks.
Equal Employment Opportunity EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.
Apply Today Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis.
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Base pay range: $205,000 - $235,000 per year.
Overview EY-Parthenon’s unique combination of transformative strategy, transactions and corporate finance delivers real-world value. With deep functional expertise and innovative AI-powered technology, we partner with CEOs, Boards, Private Equity and Governments to shape future growth.
Key Responsibilities
Build and maintain the core advanced analytics platform and lead 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 lifecycles.
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.
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 design, embedding strategy, and prompt frameworks (LangChain, LlamaIndex).
Design scalable, reproducible, versioned data pipelines.
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, roadmap refinement.
Own delivery of AI/ML-powered components from prototype to production (REST APIs, dashboards, embedded agents).
Qualifications
Bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or related field and 5 years of related work experience; or a graduate degree and approximately 3 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 (Pinecone, Weaviate, Chroma), retrieval systems, and LLM fine‑tuning.
Strong understanding of structured data merging, schema linking, and model evaluation at scale.
Fluency in Python, PyTorch or TensorFlow, and ability to architect APIs around ML models.
Experience designing, building, and maintaining ML models, frameworks, and pipelines.
Experience leading cross‑functional business/engineering teams to deliver complex solutions.
Excellent communication skills; ability to convey complex technical concepts to business stakeholders.
Willingness to travel and work beyond standard hours when necessary.
Ideally, You Will Have
Experience building and deploying AI/ML products or features in a production environment.
Experience working 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.
What We Offer
Comprehensive compensation and benefits package; base salary $205,000 - $235,000 plus medical, dental, pension, 401(k), paid time off.
Hybrid model: work in person 40‑60% of the time.
Flexible vacation policy; early and late vacation flexibility; paid holidays and breaks.
Equal Employment Opportunity EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.
Apply Today Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis.
#J-18808-Ljbffr