Consultant

EY Studio+ Nederland•Atlanta, NY

2d•Hybrid

About The Position

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. 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. You’ll 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.

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.

Nice To Haves

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.

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.