Forward-Deployed AI Engineer & Solutions Leader

EY

Miami (FL)

Remote

USD 126,000 - 230,000

Full time

1 hour ago
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Job summary

EY is seeking a Forward Deployed Engineer Manager to lead AI, data science, and ML initiatives for clients. You’ll work with diverse teams to design, build, and deploy scalable AI solutions across cloud and on-prem environments, driving responsible engineering and measurable business outcomes.

You will supervise multidisciplinary teams, guide architecture, and ensure delivery speed with high quality. Strong Python, leadership, and client-facing capabilities are essential while traveling for

Qualifications

  • Bachelor’s degree required.
  • 6–10 years of AI/Data/ML experience.
  • 2–4 years of experience managing technical teams.
  • Strong Python skills.
  • Ability to lead, collaborate, and communicate with hybrid/global teams.
  • Experience delivering production AI/ML solutions on a major cloud platform.
  • Proficiency with foundation models and agentic AI frameworks; ML packages like scikit-learn and PyTorch.
  • Experience with NLP and deep learning.
  • Experience with ML Ops, LLM Ops, and AgentOps; CI/CD pipelines.

Responsibilities

  • Lead client-embedded AI workstreams from opportunity identification to deployment and optimization.
  • Redesign client processes for human-AI collaboration and continuous improvement.
  • Manage lean, multidisciplinary teams delivering complex AI engineering initiatives.
  • Build trust with business and technology stakeholders; lead product and agile delivery.
  • Demonstrate value; identify adjacent use cases and opportunities; support proposals.

Skills

Python
Leadership
Client relationships
Communication
Problem solving

Education

Bachelor’s degree
Master’s degree

Tools

Claude
Codex
Cursor
GitHub
Azure DevOps
Jira
Langchain

Job description

EY is seeking a Forward Deployed Engineer Manager to lead AI, data science, and ML initiatives for clients. You’ll work with diverse teams to design, build, and deploy scalable AI solutions across cloud and on-prem environments, driving responsible engineering and measurable business outcomes.

You will supervise multidisciplinary teams, guide architecture, and ensure delivery speed with high quality. Strong Python, leadership, and client-facing capabilities are essential while traveling for

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