Director of AI Engineering & Transformation

Jobot

Austin (TX)

On-site

USD 250,000 - 350,000

Full time

5 days ago
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Job summary

Jobot is seeking a senior engineering leader to guide multiple AI engineering teams through a transformative, agentic AI initiative. You will partner with executive leadership to define strategy, drive large-scale programs, and ensure delivery across complex projects.

The role requires deep systems architecture expertise, cloud proficiency, and strong communication with stakeholders. A strong track record in leadership and delivering high-impact results is essential.

Qualifications

  • Bachelor's in CS/Engineering required; Master's preferred.
  • 10+ years in software engineering; at least 5 in leadership roles.
  • Experience with systems architecture and cloud technologies.
  • Proficiency in Agile, CI/CD, and DevOps practices.

Responsibilities

  • Oversee multiple AI engineering teams and mentor managers and senior staff.
  • Partner with senior leadership to shape engineering strategy and roadmap, including agentic transformation.
  • Manage large-scale projects with prioritization, resourcing, and risk management.
  • Drive technical innovation in agentic loop engineering and continuous improvement.
  • Collaborate cross-functionally with product, design, and operations as engineering liaison.
  • Build and scale AI engineering talent and leadership pipelines.
  • Establish and report on KPIs for engineering teams.
  • Optimize workflows, tooling, and development processes using Agile and DevOps.

Skills

Leadership
Systems architecture
Cloud technologies
Agile/DevOps
Communication

Education

Bachelor's in Computer Science/Engineering
Master's degree preferred

Tools

CI/CD
DevOps

Job description

Jobot is seeking a senior engineering leader to guide multiple AI engineering teams through a transformative, agentic AI initiative. You will partner with executive leadership to define strategy, drive large-scale programs, and ensure delivery across complex projects.

The role requires deep systems architecture expertise, cloud proficiency, and strong communication with stakeholders. A strong track record in leadership and delivering high-impact results is essential.

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