Head of AI Delivery & Platform Integration

KnitWell Group

Pataskala (OH)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Merchandise discount
Career development and mobility
Volunteer opportunities and charitable
Medical, dental, vision insurance & 4?

Job summary

KnitWell Group seeks a Director, AI Solutions Delivery to lead the technical execution of AI initiatives across the enterprise. You will oversee transition from POCs to scalable production, ensure platform readiness, and partner with cross-functional teams to align AI deliverables with business goals.

Responsibilities include owning end-to-end delivery, creating technical roadmaps, and guiding teams through production deployment while maintaining governance and performance monitoring.

Qualifications

  • 7+ years in technical delivery, AI/ML engineering, data engineering, or solution architecture
  • At least 2 years managing production AI or data science projects
  • Familiarity with cloud platforms and MLOps practices
  • Able to translate business needs into actionable technical solutions

Responsibilities

  • Lead end-to-end delivery of AI solutions from pilot to production
  • Transition POCs & pilots into scalable production solutions
  • Partner with IT and data teams for integration
  • Evaluate third-party AI tools and platforms
  • Maintain data governance, monitoring, and performance evaluation

Skills

Technical delivery
AI/ML engineering
Data engineering
Solution architecture
Cross-functional leadership
Stakeholder communication

Education

Bachelor’s degree in CS/Engineering
Master’s degree or AI/ML certs

Tools

AWS
Azure
GCP
MLOps

Job description

KnitWell Group seeks a Director, AI Solutions Delivery to lead the technical execution of AI initiatives across the enterprise. You will oversee transition from POCs to scalable production, ensure platform readiness, and partner with cross-functional teams to align AI deliverables with business goals.

Responsibilities include owning end-to-end delivery, creating technical roadmaps, and guiding teams through production deployment while maintaining governance and performance monitoring.

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