Senior AI Solutions Engineer - Client‑Facing ML

EY

Las Vegas (NV)

Remote

USD 107,000 - 177,000

Full time

4 hours ago
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Benefits offered by this job

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

Job summary

EY is seeking a Senior Forward Deployed Engineer to lead AI/ML solutions for diverse clients, shaping problem statements, building scalable AI systems, and integrating with on‑premises or cloud environments. The role emphasizes client interaction, responsible engineering, and rapid delivery.

You will work with data pipelines, model evaluation, and observability to ensure high performance while collaborating with EY’s interdisciplinary team of scientists and engineers on challenging computational

Qualifications

  • Bachelor’s degree or higher in a relevant field.
  • 3–6 years of AI/ML experience in professional settings.
  • Strong Python programming skills.
  • Ability to collaborate across hybrid/global teams.
  • Experience deploying production AI/ML on major clouds.
  • Proficiency with foundational models and GenAI toolkits.
  • Experience with MLOps, LLMOps and CI/CD workflows.
  • Familiarity with data manipulation tools (SQL, Pandas, Spark).
  • Excellent written and verbal communication.

Responsibilities

  • Translate business challenges into scoped AI opportunities and implement scalable AI systems.
  • Design AI-native applications, workflows, and data pipelines for accuracy and cleanliness.
  • Deploy, monitor, and optimize learning processes and models.
  • Demonstrate measurable value and identify next-use cases for clients.
  • Collaborate with clients and EY teams to ensure responsible engineering and governance.

Skills

Python
AI/ML
Cloud platforms
DevOps
Langchain
PyTorch
Jira
Azure DevOps
CI/CD
MLOps
Retrieval Augmented Generation

Education

Bachelor’s degree

Tools

Claude
Codex
Cursor
GitHub
OpenAI
DALL-E
Langchain
SQL
Pandas
Spark
PyTorch

Job description

EY is seeking a Senior Forward Deployed Engineer to lead AI/ML solutions for diverse clients, shaping problem statements, building scalable AI systems, and integrating with on‑premises or cloud environments. The role emphasizes client interaction, responsible engineering, and rapid delivery.

You will work with data pipelines, model evaluation, and observability to ensure high performance while collaborating with EY’s interdisciplinary team of scientists and engineers on challenging computational

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