EY-Parthenon Strategy and Execution Growth Platforms AIML Engineer Sr AssociateConsultant

The opportunity

EY-Parthenons unique combination of transformative strategy transactions and corporate finance delivers real-world value solutions that work in practice not just on paper. Benefiting from EYs full spectrum of services weve reimagined strategic consulting to work in a world of increasing complexity.

With deep functional and sector expertise paired with innovative AI-powered technology and an investor mindset we partner with CEOs Boards Private Equity and Governments every step of the way enabling you to shape your future with confidence.

Within the EY-Parthenon service line the EY Growth Platforms AI ML Engineering 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 F500 clients.

Your key responsibilities

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

Skills and attributes for success

• 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.

To qualify for the role you must have

• Outstandingacademic performance with a bachelors degreeand at least2yearsof related work experience; or a graduate degree andapproximately18 monthsofrelatedwork 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.

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

Were 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.