Senior AI Solutions Engineer (Forward Deployed)

EY

Woodbridge Township (NJ)

Remote

USD 107,000 - 193,000

Full time

7 hours ago
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Benefits offered by this job

Medical and dental coverage
Pension and 401(k)
Paid time off

Job summary

EY is seeking a Senior Forward Deployed Engineer to lead client-facing AI/ML initiatives, diagnosing business problems, and delivering scalable AI, machine learning, generative AI, and agentic systems across cloud and on‑prem environments.

You will enhance data pipelines, own delivery from solution shaping to deployment, and collaborate with a multidisciplinary team of data and analytics professionals on challenging computational problems.

Qualifications

  • Bachelor’s degree required (4-year degree).
  • 3–6 years of full-time working experience in AI and/or Machine Learning.
  • Strong skills in Python.
  • Experience identifying, solutioning, designing, building, deploying, and maintaining high‑impact production AI/ML solutions on a major cloud platform.
  • Proficient in foundation models, generative AI, and agentic AI frameworks (e.g., OpenAI, Dall‑e, Langchain, Retrieval Augmented Generation (RAG)).

Responsibilities

  • Translate ambiguous business challenges into scoped AI opportunities and implement scalable ML/AI systems.
  • Design AI-native applications, agentic workflows, reusable tools, connectors, and data pipelines.
  • Deploy, evaluate, monitor, and optimize learning processes to improve model performance.
  • Demonstrate solution value through measurable outcomes and identify next use cases; travel to engage with clients as needed.
  • Use AI-native development tools (Claude, Codex, Cursor, GitHub) while upholding software engineering and security standards.
  • Create evaluations, observability, access controls, and human-in-the-loop safeguards for quality and cost control.

Skills

Python
AI/ML
Cloud platforms
NLP
MLOps
CI/CD
Jira

Education

Bachelor’s degree

Tools

Claude
Codex
Cursor
GitHub
Azure DevOps
Jira

Job description

EY is seeking a Senior Forward Deployed Engineer to lead client-facing AI/ML initiatives, diagnosing business problems, and delivering scalable AI, machine learning, generative AI, and agentic systems across cloud and on‑prem environments.

You will enhance data pipelines, own delivery from solution shaping to deployment, and collaborate with a multidisciplinary team of data and analytics professionals on challenging computational problems.

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