Forward-Deployed AI Engineer & Model Lead

EY; Fort Worth (TX); Remote; USD 126,000 - 230,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

EY is seeking a Forward Deployed Engineer Manager to lead AI/ML delivery for client engagements across diverse industries. You will co-create scalable agentic AI solutions, supervise multidisciplinary teams, and ensure responsible deployment from design to production.

You’ll collaborate with clients to diagnose problems, prototype innovations, and guide architecture while staying hands-on in development, data strategy, and governance.

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 to lead, collaborate, and communicate effectively with diverse, hybrid and global teams.
• Experience identifying, solutioning, designing, building, deploying, operating, and expanding AI/ML solutions on a major cloud platform.
• Proficient in foundation models, generative AI, and agentic AI frameworks; ML packages like scikit-learn and PyTorch.
• Experience with NLP and deep learning.
• Experience with AI-assisted and DevOps tools; Jira; CI/CD pipelines.
• Experience with MLOps, LLMOps, AgentOps; data ingestion, transformation, evaluation.
• Experience with model retraining and feedback loop methodologies.
• Experience with model evaluation, observability, monitoring and reporting.
• Strong foundation in math, statistics, and optimization; SQL/Pandas/Spark.
• Excellent communication and travel willingness.

Responsibilities

• Leading client-embedded AI workstreams from opportunity identification through solution design, deployment, and optimization.
• Redesigning client processes for human-AI collaboration and driving delivery improvements via prototyping and analysis.
• Managing lean, multidisciplinary teams to deliver complex AI initiatives with accountability for quality and responsible deployment.
• Building trust with stakeholders, leading product and agile delivery from planning through execution and closure.
• Demonstrating value, identifying adjacent use cases, and supporting solution demonstrations and proposals.
• Defining solution architecture and guiding hands-on development of agentic workflows, APIs, and integrations.
• Establishing governance, access controls, and risk mitigations for secure operation of AI systems.
• Using AI-native development tools to increase delivery speed while maintaining quality.

Skills

Python

Client leadership

Solutioning

Product delivery

Commercial judgment

Communication

Travel willingness

Education

Bachelor’s degree

Tools

Claude

Codex

Cursor

GitHub

Azure DevOps

Jira

Job description

EY is seeking a Forward Deployed Engineer Manager to lead AI/ML delivery for client engagements across diverse industries. You will co-create scalable agentic AI solutions, supervise multidisciplinary teams, and ensure responsible deployment from design to production.

You’ll collaborate with clients to diagnose problems, prototype innovations, and guide architecture while staying hands-on in development, data strategy, and governance.