Forward-Deployed AI Engineer & Model Lead

EY; Buffalo (NY); Remote; USD 126,000 - 230,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) plan with company match

Job summary

EY is seeking a Forward Deployed Engineer Manager to lead client-focused AI engineering initiatives. You will diagnose problems, identify AI opportunities, and build scalable AI/ML solutions across cloud and on‑prem environments, delivering high‑impact outcomes with diverse global teams.

You will guide solution design, oversee production deployment, and ensure responsible, measurable results while fostering innovation and knowledge sharing across EY’s interdisciplinary teams.

Qualifications

• A Bachelor’s degree required (4-year degree).
• 6-10 years of AI, Data Science, and/or Machine Learning experience.
• 2-4 years of experience managing technical teams.
• Strong Python skills.
• Ability to lead, collaborate, and communicate with diverse, hybrid and global teams.
• Experience delivering production AI/ML solutions on a major cloud platform.
• Proficiency with foundation models, generative AI, and agentic AI frameworks; ML packages like scikit-learn and PyTorch.
• Experience with NLP and deep learning.
• Extensive experience with AI-assisted and DevOps tools (Claude, Codex, Cursor, GitHub, Azure DevOps), Jira, and CI/CD.
• Experience with MLOps, LLMOps, AgentOps, data ingestion, transformation, and evaluation.
• Model retraining, feedback loops, observability, monitoring, and reporting.
• Strong data structures, data modelling, software engineering, and Responsible AI practices.
• Math, stats, operations research, SQL, Pandas, Spark, and deep learning techniques.
• Excellent communication, travel willingness, commercial acumen.

Responsibilities

• Lead client-embedded AI workstreams from opportunity identification to deployment, value measurement, and optimization.
• Redesign client processes for human-AI collaboration and drive delivery improvements via research and rapid prototyping.
• Manage lean, multidisciplinary teams, staying close to architecture, build decisions, and responsible deployment.
• Build trust with stakeholders, lead product and agile delivery from planning through execution and closure.
• Demonstrate value, identify adjacent use cases, support demonstrations and proposals, and manage engagement economics.
• Define solution architecture and guide hands-on development of agentic workflows and integrations.
• Establish governance, access controls, and risk mitigations for secure operation of AI systems.
• Coach teams on AI-native development tools to increase delivery speed while preserving quality.

Skills

Python

Leadership

Client engagement

AI/ML

Cloud platforms

MLOps/LLMOps/AgentOps

Jira/Agile

Communication

OpenAI/Generative AI

Data analysis

Education

Bachelor's degree

Master's degree (preferred)

Tools

Claude

Codex

Cursor

GitHub

Azure DevOps

Langchain

Job description

EY is seeking a Forward Deployed Engineer Manager to lead client-focused AI engineering initiatives. You will diagnose problems, identify AI opportunities, and build scalable AI/ML solutions across cloud and on‑prem environments, delivering high‑impact outcomes with diverse global teams.

You will guide solution design, oversee production deployment, and ensure responsible, measurable results while fostering innovation and knowledge sharing across EY’s interdisciplinary teams.