Enterprise AI Delivery Leader

TEKsystems

Minneapolis (MN)

Hybrid

USD 145,000 - 185,000

Full time

8 days ago

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Job summary

TEKsystems is seeking a Senior Manager – Delivery – Applied AI in Minneapolis, MN, to lead the end-to-end execution of enterprise AI initiatives and manage a multidisciplinary AI engineering team.

This role partners with the Senior Director of AI to scale capabilities, establish engineering best practices, and ensure production-grade AI solutions from concept to deployment with speed, quality, and governance.

Qualifications

  • Lead end-to-end enterprise AI initiatives from ideation to production and support.
  • Drive delivery of AI, ML, generative AI, and agentic AI solutions delivering measurable business value.
  • Establish compliant AI Development Lifecycle (AIDLC) covering experimentation, model development, deployment, and governance.
  • Ensure security, quality, and operational readiness of AI systems.
  • Partner with Enterprise Architecture, IT Operations, Data Engineering, Security, and other teams to scale AI capabilities.

Responsibilities

  • Build a high-performing multidisciplinary AI engineering team.
  • Recruit, hire, onboard, and retain top AI talent.
  • Manage team capacity, sprint execution, and resource allocation across AI initiatives.
  • Translate strategic priorities into executable engineering roadmaps and delivery plans.
  • Collaborate with product and business stakeholders to deliver measurable outcomes.

Skills

Machine learning
Applied AI
Software Engineering
AI/ML leadership
Cloud Native
Leadership
Artificial intelligence
Aws

Education

Bachelors degree

Tools

AIDLC

Job description

TEKsystems is seeking a Senior Manager – Delivery – Applied AI in Minneapolis, MN, to lead the end-to-end execution of enterprise AI initiatives and manage a multidisciplinary AI engineering team.

This role partners with the Senior Director of AI to scale capabilities, establish engineering best practices, and ensure production-grade AI solutions from concept to deployment with speed, quality, and governance.

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