Senior Forward-Deployed AI Engineering Leader

EY; Portland (OR); Hybrid; USD 144,000 - 329,000; Full time

Job summary

EY is seeking a Senior Manager - Forward Deployed Engineer to join our AI, Data & Engineering practice in the US. You will lead client-focused AI engagements, translate strategic goals into scalable, production-grade ML and generative AI solutions, and partner with data scientists, cloud engineers, and platform teams.

The role emphasizes leadership, delivery, and affecting real business outcomes. Responsibilities include shaping AI strategy, driving end-to-end implementation, and managing client

Qualifications

• Bachelor’s or MS degree in Computer Science, Data Science, Mathematics, or related field.
• 8+ years of experience in AI/ML consulting or engineering leadership.
• Experience leading multi-disciplinary teams in client environments.
• Strong knowledge of ML workflows, MLOps, and deployment at scale.
• Proven ability to translate business value into engineering solutions.
• Excellent communication and stakeholder management skills.

Responsibilities

• Lead forward-deployed AI engineering teams delivering production-grade ML and generative AI solutions.
• Diagnose client opportunities, shape AI strategy, and operationalize AI workloads at scale.
• Collaborate with data scientists, cloud engineers, and DevOps to land end-to-end solutions.
• Establish governance, observability, cost management, and Responsible AI practices.
• Drive opportunity qualification, proposals, and delivery economics with clients.
• Foster cross-functional collaboration in a hybrid on-site/remote setup.

Job description

EY is seeking a Senior Manager - Forward Deployed Engineer to join our AI, Data & Engineering practice in the US. You will lead client-focused AI engagements, translate strategic goals into scalable, production-grade ML and generative AI solutions, and partner with data scientists, cloud engineers, and platform teams.

The role emphasizes leadership, delivery, and affecting real business outcomes. Responsibilities include shaping AI strategy, driving end-to-end implementation, and managing client