AI Delivery Leader
Atlanta, GA - USA
Job Summary
Job Title: AI Delivery Leader
Job Location: Atlanta GA
Job Type: Contract
Role Overview
We are seeking an experienced and strategic AI Delivery Leader to drive the end-to-end delivery of Artificial Intelligence (AI) and Machine Learning (ML) solutions across the enterprise. This role will lead cross-functional teams to design develop deploy and scale AI products that deliver measurable business value. The ideal candidate combines strong technical expertise in AI/ML with exceptional program leadership and stakeholder management skills.
Key Responsibilities
AI Strategy & Execution
- Lead the delivery of AI/ML initiatives aligned with business objectives and digital transformation goals
- Translate business problems into scalable AI solutions and define delivery roadmaps
- Establish best practices frameworks and governance for AI solution delivery
Program & Delivery Management
- Own end-to-end delivery of AI programs (from ideation to production and scaling)
- Manage project timelines scope budgets risks and dependencies
- Ensure timely delivery with high quality and measurable impact
Stakeholder Engagement
- Collaborate with executives business leaders and technical teams to define priorities
- Communicate progress risks and outcomes to senior stakeholders
- Act as a bridge between business and technical teams
Technical Leadership
- Guide teams on AI/ML architectures MLOps and deployment strategies
- Ensure adoption of best practices in data engineering model development and lifecycle management
- Oversee model performance monitoring and continuous improvement
Team Leadership & Development
- Build mentor and lead high-performing AI delivery teams (data scientists engineers analysts)
- Promote an agile collaborative and innovative culture
- Drive capability development in AI analytics and emerging technologies
Governance & Compliance
- Ensure responsible AI practices including ethics bias mitigation and explainability
- Maintain compliance with data privacy security and regulatory requirements
Required Qualifications
- Bachelors or Masters degree in Computer Science Data Science Engineering or related field
- 10 years of experience in technology delivery including 3 5 years in AI/ML program leadership
- Strong knowledge of AI/ML frameworks data platforms and cloud ecosystems (Azure AWS or GCP)
- Proven track record of delivering AI solutions at scale