Senior AI/ML Engineer - Growth Platforms Lead

EY-Parthenon; Seattle (WA); Hybrid; USD 130,000 - 185,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY-Parthenon seeks an AI ML Engineering Senior Associate/Consultant to lead and scale advanced analytics platforms, translating business needs into executable ML workflows. You will collaborate with business leaders and data scientists to drive end-to-end project lifecycles, from data ingestion to model delivery.

You will define architectures for agents that integrate LLMs, RAG, and multi-source data, while shaping the technical roadmap with engineers and contractors across client engagements.

Qualifications

• 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.

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.

Job description

EY-Parthenon seeks an AI ML Engineering Senior Associate/Consultant to lead and scale advanced analytics platforms, translating business needs into executable ML workflows. You will collaborate with business leaders and data scientists to drive end-to-end project lifecycles, from data ingestion to model delivery.

You will define architectures for agents that integrate LLMs, RAG, and multi-source data, while shaping the technical roadmap with engineers and contractors across client engagements.