Senior AI Solutions Engineer: Client-Facing Deployment

EY

Hoboken (NJ)

Remote

USD 107,000 - 193,000

Full time

10 hours ago
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Job summary

EY seeks a Senior Forward Deployed Engineer to diagnose business problems, identify AI opportunities, and build scalable AI/ML solutions for diverse clients. You will enhance data pipelines, own delivery from shaping to deployment, and collaborate with a multidisciplinary team of scientists and engineers.

You will work with Claude, Codex, Cursor, and GitHub in an environment that values responsible AI, observability, and security, with travel to client sites as needed.

Qualifications

  • Bachelor's degree required (4-year degree).
  • 3–6 years of full-time AI/ML experience.
  • Strong Python skills.
  • Collaborate with diverse, hybrid and global teams.
  • Experience delivering production AI/ML on major cloud platforms.
  • Proficiency with foundation models, generative AI, and agentic AI frameworks.
  • Experience with ML tooling and CI/CD pipelines.
  • Experience with MLOps, LLMOps and model retraining.

Responsibilities

  • Translate business challenges into scoped AI opportunities and implement scalable AI/ML solutions.
  • Design AI-native applications, agentic workflows, and reusable tools.
  • Deploy, monitor, and optimize learning processes and models.
  • Demonstrate value with measurable outcomes and engage with clients regularly.
  • Work hands-on with clients and guide technical development to ensure quality.

Skills

Python
AI/ML
Cloud platforms
NLP
DevOps tools
Jira
Communication

Education

Bachelor's degree
Master's degree

Tools

Claude
Codex
Cursor
GitHub
Azure DevOps
Langchain

Job description

EY seeks a Senior Forward Deployed Engineer to diagnose business problems, identify AI opportunities, and build scalable AI/ML solutions for diverse clients. You will enhance data pipelines, own delivery from shaping to deployment, and collaborate with a multidisciplinary team of scientists and engineers.

You will work with Claude, Codex, Cursor, and GitHub in an environment that values responsible AI, observability, and security, with travel to client sites as needed.

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