Senior AI Field Engineer — Client‑Facing ML Deployment

EY; Arlington (VA); Remote; USD 107,000 - 193,000; Full time

Benefits offered by this job

Total Rewards package

Medical and dental coverage

401(k) plan

Job summary

EY is seeking a Senior Forward Deployed Engineer in the United States to work directly with clients, diagnosing business problems and delivering scalable AI/ML solutions across cloud and on-prem environments. You will lead end-to-end delivery from discovery to deployment, enhance data pipelines, and collaborate with a multidisciplinary team of data scientists and engineers to maximize business impact.

The role emphasizes heavy client interaction, travel as needed, and the use of AI-native tools

Qualifications

• Bachelor's degree required; 3–6 years in AI/ML preferred.
• Proficient in Python and ML toolchains.
• Experience delivering production AI/ML at scale on cloud and/or on-premises.
• Familiarity with responsible AI, data pipelines, and MLOps workflows.

Responsibilities

• Translate client challenges into scoped AI opportunities and implement scalable AI/ML solutions.
• Design AI-native applications, workflows, connectors, and data pipelines.
• Deploy, monitor, and optimize learning models for performance and reliability.
• Travel to engage with clients and deliver value across engagements.

Skills

Python

AI/ML

Cloud platforms

DevOps

SQL

Education

Bachelor's degree

Tools

Claude

Codex

Cursor

GitHub

Azure DevOps

Langchain

Job description

EY is seeking a Senior Forward Deployed Engineer in the United States to work directly with clients, diagnosing business problems and delivering scalable AI/ML solutions across cloud and on-prem environments. You will lead end-to-end delivery from discovery to deployment, enhance data pipelines, and collaborate with a multidisciplinary team of data scientists and engineers to maximize business impact.

The role emphasizes heavy client interaction, travel as needed, and the use of AI-native tools