Engineering Jobs in Des Moines
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Engineering Jobs in Des Moines
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Engineering Jobs in Des Moines

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VP, AI Platform and Engineering
Reku
Atlanta, us
Remote Marketing Full time Posted 1 week ago
$450k – $550k/year Apply Now
Java Engineer - Workplace Services Engineering
Charles Schwab
Austin, TX
Hybrid Engineering Full time Posted 1 week ago
$111k – $140k/year Apply Now
Mechanical Engineering Expert - AI Content Specialist
Alignerr
Seattle, WA
Remote Engineering Contract Posted 1 week ago
$35.00 – $60.00/hr Apply Now
Computer Engineering Expert - AI Content Specialist
Alignerr
Dallas, TX
Remote Engineering Contract Posted 1 week ago
$35.00 – $60.00/hr Apply Now
Computer Engineering Expert - AI Content Specialist
Alignerr
New York, NY
Remote Engineering Contract Posted 1 week ago
$35.00 – $60.00/hr Apply Now
Software Engineering intern
Firemon
Kansas City, KS
Hybrid Engineering Full time Posted 1 week ago
Pay not listed Apply Now
Computer Engineering
Alignerr
Seattle, WA
Remote Engineering Contract Posted 3 weeks ago
$35.00 – $60.00/hr Apply Now
Engineering Program Manager
AAC Technologies
Cupertino, CA
Hybrid Engineering Full time Posted 3 weeks ago
$140k – $160k/year Apply Now
Software Engineering Intern
Paradigm Life
Salt Lake City, UT
Remote Engineering Remote Posted 2 months ago
Pay not listed Apply Now
ORIGINAL JOB LISTING

VP, AI Platform and Engineering

Reku
Atlanta, us
Remote
Posted 1 week ago
$450k - $550k/year

This job is currently accepting applications. Review the details and apply today.

About this role

Vice President, AI Platform & Engineering About the Opportunity Reku is partnering with a global enterprise to appoint a Vice President, AI Platform & Engineering. This is a build-focused leadership role responsible for establishing and scaling enterprise AI capabilities, spanning platform, infrastructure, and applied AI delivery.

Responsibilities

  • Define and lead the enterprise AI platform strategy (GenAI ML in production)
  • Build and scale AI/ML infrastructure, LLMOps, and deployment pipelines
  • Drive end-to-end delivery of AI use cases across business functions
  • Establish agentic / human AI operating models
  • Lead model lifecycle management (evaluation, optimization, monitoring)
  • Partner with engineering, product, and business leaders to drive adoption
  • Build and lead a high-performing, technically credible team
  • Operate effectively within a complex enterprise environment, balancing speed and governance

Required Skills & Experience

  • Key Responsibilities Define and lead the enterprise AI platform strategy (GenAI ML in production) Build and scale AI/ML infrastructure, LLMOps, and deployment pipelines D...
  • token efficiency, model selection) LLMOps / MLOps and deployment engineering AI platform architecture and distributed systems Experience delivering AI products in product...

Benefits

  • Benefits details are shared by the employer during the hiring process.

Environment

Key Responsibilities Define and lead the enterprise AI platform strategy (GenAI ML in production) Build and scale AI/ML infrastructure, LLMOps, and deployment pipelines Drive end-to-end deli... token efficiency, model selection) LLMOps / MLOps and deployment engineering AI platform architecture and distributed systems Experience delivering AI products in production environments (be...

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