Senior Cloud AI Engineer — Hybrid, AI‑Forward Leadership

EY

Seattle (WA)

Hybrid

USD 134,000 - 258,000

Full time

2 days ago
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Job summary

EY is seeking a senior technical leader to drive AI-forward development, design and deliver complex software solutions, and guide teams across development and architecture. You will translate business needs into scalable technical outcomes while advancing quality and velocity.

The role emphasizes hands-on coding, systems design, and coaching a team on best practices in data modeling, model deployment, and modern CI/CD tooling.

Qualifications

  • Bachelor's degree in computer science, engineering, IT, mathematics or related field preferred.
  • 10+ years of applied experience in software or platform engineering roles.
  • Experience delivering software/platform engineering solutions and handling user requirements.
  • Experience with AI/ML model deployment, NLP tasks, and data processing pipelines.

Responsibilities

  • Solves complex and escalated aspects of a project, performing coding, debugging, testing and troubleshooting throughout the development process.
  • Provides advanced technical expertise to maximize efficiency, reliability and value from current solutions and emerging technologies.
  • Develops strong working relationships with peers across Development & Engineering and Architecture teams to engineer leading solutions.
  • Provides a leadership role for the work group to deliver the project.

Skills

Technical proficiency
C#/Java/Python
Data modeling
CI/CD
LLM tuning
Embedding models
Agentic systems
Evaluation & AB testing

Education

Bachelor's degree in CS/Engineering/IT/Math

Tools

Kubernetes
Docker

Job description

EY is seeking a senior technical leader to drive AI-forward development, design and deliver complex software solutions, and guide teams across development and architecture. You will translate business needs into scalable technical outcomes while advancing quality and velocity.

The role emphasizes hands-on coding, systems design, and coaching a team on best practices in data modeling, model deployment, and modern CI/CD tooling.

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