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

EY-Parthenon; Dallas (TX); Hybrid; USD 130,000 - 185,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Flexible vacation policy

Job summary

EY-Parthenon is seeking an AI ML Engineering Senior Associate/Consultant to build and maintain advanced analytics platforms in Dallas. This role involves translating complex business needs into actionable AI workflows and collaborating with top executives. Ideal candidates should have strong skills in Python, ML model design, and data pipeline development, along with relevant academic achievements.

The position offers competitive compensation ranging from $130,000 to $185,000, along with comprehensive benefits.

Qualifications

• Outstanding academic performance with relevant work experience (2 years or more).
• Familiarity with multi-modal agent frameworks and data pipelines.
• Strong understanding of ML workflows and model evaluation.

Responsibilities

• Build and maintain advanced analytics platforms.
• Translate business needs into executable AI workflows.
• Design and build robust data pipelines.

Skills

Python

PyTorch

TensorFlow

ML model design

Data pipeline development

Education

Bachelor's degree

Graduate degree

Tools

LangChain

Pinecone

Weaviate

Chroma

Job description

Location: New York, Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle

Overview

EY-Parthenon’s unique combination of transformative strategy, transactions and corporate finance delivers real-world value – solutions that work in practice, not just on paper. Benefiting from EY’s full spectrum of services, we’ve reimagined strategic consulting to work in a world of increasing complexity.

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. 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.

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.

Qualifications

To qualify for the role, you must have

• 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.

Preferred Experience

• 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. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.

Benefits

• We offer a comprehensive compensation and benefits package with a base salary range from $130,000 to $185,000. Additional benefits include medical and dental coverage, pension and 401(k) plans, and a range of paid time off options.
• Our flexible hybrid model expects most client‑serving roles to work in person 40‑60% of the time.
• Under our flexible vacation policy, you decide how much vacation time you need based on your personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.

Equal Opportunity

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, pregnancy, genetic information, 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, including veterans with disabilities. If you have a disability and need assistance applying online or wish to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then Option 1 for candidate queries and finally Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at [e-mail].