EY-Parthenon · 2 weeks ago
EY-Parthenon - Strategy and Execution - Growth Platforms - AI ML Engineering - Director
EY-Parthenon is a strategic consulting firm that combines transformative strategy and corporate finance to deliver real-world value. The AI ML Engineering Director will design, build, and scale innovative AI solutions for strategic growth initiatives, collaborating with various stakeholders to translate business needs into executable workflows.
ConsultingManagement ConsultingPayments
Responsibilities
Partner with Business and Strategy Leads to translate business needs into executable AI workflows, data pipelines, and client-specific product specifications
Define the end-to-end architecture for agents that integrate LLMs, retrieval-augmented generation (RAG), multi-source data ingestion, and analytics components
Lead model selection, feature engineering, embedding strategy, and prompt frameworks (e.g., LangChain, LlamaIndex)
Design and build robust data pipelines that are scalable, reproducible, and versioned
Collaborate with Data Engineering and DevOps on pipeline integration, data normalization, and system deployment
Set coding standards and mentor junior engineers; perform model/code reviews and LOE, scope and roadmap refinement
Own delivery of AI/ML-powered components from prototype to production (REST APIs, dashboards, or embedded agents)
Qualification
Required
A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience
Full-time, hands-on experience applying AI/ML to solve real-world problems
Strong experience using the following ML models: XGBoost, LogisticsRegression or similar
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
Proven experience designing, building, and maintaining ML models, frameworks, and pipelines
Experience working with and/or leading cross-functional business/engineering teams to deliver complex solutions
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 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
Medical and dental coverage
Pension and 401(k) plans
Paid time off options
Flexible vacation policy
Designated EY Paid Holidays
Winter/Summer breaks
Personal/Family Care
Other leaves of absence
Company
EY-Parthenon
EY-Parthenon is one of the leading management advisory firms in the payments industry It is a sub-organization of Ernst & Young.
H1B Sponsorship
EY-Parthenon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2023 (16)
Funding
Current Stage
Late StageRecent News
Mergers & Acquisitions
2025-10-31
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