Forward-Deployed AI Engineer & Model Leader

EY; Boca Raton (FL); Remote; USD 126,000 - 262,000; Full time

Job summary

EY is seeking a Forward Deployed Engineer Manager to lead AI/ML engagements with clients, delivering modern AI engineering, machine learning, and generative AI solutions. You will spearhead scalable data-driven projects across cloud and on‑prem environments, guiding teams from discovery through delivery and optimization.

You will collaborate with diverse, hybrid and global teams, shaping architectures and ensuring responsible deployment while maintaining strong client relationships and driving

Qualifications

• Bachelor’s degree required (4-year degree).
• 6-10 years of relevant experience in AI, Data Science, and/or Machine Learning
• 2-4 years of experience directly managing technical teams
• Strong skills in Python
• Ability lead, collaborate, and communicate effectively with diverse, hybrid and global teams
• Experience identifying, solutioning, designing, building, deploying, operating, and expanding high-impact, high-value production AI/ML solutions on a major cloud platform
• Proficient in foundation models, generative AI, and agentic AI frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch
• Experience with natural language processing and deep learning
• Extensive experience in AI-assisted and DevOps tools (Claude, Codex, Cursor, GitHub, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions
• Experience with MLOps, LLMOps, and AgentOps and ML workflows, including data ingestion, transformation, and evaluation
• Experience with model retraining and feedback loop methodologies
• Experience with model and solution evaluation, observability, monitoring, and reporting
• Understanding of data structures, data modelling, software engineering, and Responsible AI practices
• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques
• Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements
• Skills in Technical Design Optimization
• Strong relationship-building skills
• Demonstrated client trust and value
• Digital fluency and emotional agility
• Commercial acumen and negotiation skills
• Proven ability to lead teams and manage change

Responsibilities

• Leading client-embedded AI workstreams from opportunity identification and process diagnosis through solution design, production deployment, value measurement, and ongoing optimization.
• Redesigning client processes for human-AI collaboration and continuously improving delivery by identifying innovative solutions through research, rapid prototyping, and analysis.
• Managing lean, multidisciplinary teams to deliver complex AI engineering initiatives, while remaining close to architecture and build decisions and maintaining accountability for quality, responsible deployment, economics, and results.
• Building trust with business and technology stakeholders, participating in daily client working sessions, and leading product and agile delivery from planning through execution and closure.
• Demonstrating realized value, identifying adjacent use cases and opportunities for additional specialists or services, supporting solution demonstrations and proposals, and managing engagement economics.
• Defining solution architecture and guiding hands‑on development of agentic workflows, orchestration logic, memory, retrieval, reusable components, APIs, MCP connectors, and agent‑to‑agent integrations.
• Establishing evaluations, observability, control‑plane governance, access controls, and risk mitigations for secure and responsible operation of AI and agentic systems.
• Using and coaching teams on AI-native development tools such as Claude, Codex, Cursor, and GitHub to increase delivery speed without compromising engineering quality

Skills

Python

Leadership

Communication

Problem solving

Travel readiness

Education

Bachelor's degree

Tools

Claude

Codex

Cursor

GitHub

Langchain

Jira

Azure DevOps

Job description

EY is seeking a Forward Deployed Engineer Manager to lead AI/ML engagements with clients, delivering modern AI engineering, machine learning, and generative AI solutions. You will spearhead scalable data-driven projects across cloud and on‑prem environments, guiding teams from discovery through delivery and optimization.

You will collaborate with diverse, hybrid and global teams, shaping architectures and ensuring responsible deployment while maintaining strong client relationships and driving