EY-Parthenon - Strategy and Execution - Growth Platforms - AI/ML Engineer - Sr Associate/Consultant

About the role

EY-Parthenon’s unique combination of transformative strategy, transactions, and corporate finance delivers real-world value. We partner with CEOs, Boards, Private Equity, and Governments to enable strategic growth initiatives and create enterprise value for Fortune 500 clients.

Responsibilities

• Partner with Business and Strategy Leads to translate business needs into executable AI workflows, data pipelines, and client-specific product specifications.
• Assist in defining the end-to-end architecture for agents that integrate LLMs, retrieval-augmented generation (RAG), multi-source data ingestion, and analytics components.
• Participate in model selection, feature design, embedding strategy, and prompt frameworks (e.g., LangChain, LlamaIndex).
• Participate in the design and build robust data pipelines that are scalable, reproducible, and versioned.

Requirements

• Outstanding academic performance, with a bachelor's degree and at least 2 years of related work experience; or a graduate degree and approximately 18 months of related work experience.
• Familiarity with multi-modal agent frameworks (LangChain, Haystack, RAG pipelines).
• Knowledge 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.
• Demonstrated experience designing, building, and maintaining ML models, frameworks, and pipelines.
• Excellent communication skills, with the ability to convey complex, technical concepts and progress, methodologies, solutioning, and results to business and client stakeholders.
• The ability and willingness to travel and work in excess of standard hours when necessary.

Qualifications

• 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.

Benefits

Comprehensive compensation and benefits package including medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

Pay

$130,000 to $185,000 base salary range in all geographic locations in the US.

Schedule

Flexible vacation policy and a team-led and leader-enabled hybrid model where most people in external, client-serving roles work together in person 40-60% of the time over the course of an engagement, project, or year.