AI Delivery Leader

Compunnel

$130K — $180K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's 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
  • Experience with MLOps tools and model lifecycle management (preferred)

Responsibilities

  • Lead the delivery of AI/ML initiatives aligned with business objectives
  • Translate business problems into scalable AI solutions
  • Establish best practices, frameworks, and governance for AI solution delivery
  • Own end-to-end delivery of AI programs from ideation to production
  • Manage project timelines, scope, budgets, risks, and dependencies
  • Guide teams on AI/ML architectures, MLOps, and deployment strategies
  • Build, mentor, and lead high-performing AI delivery teams

Benefits

  • Promote an agile, collaborative, and innovative culture
  • Drive capability development in AI, analytics, and emerging technologies
  • Ensure responsible AI practices including ethics and bias mitigation
  • Maintain compliance with data privacy, security, and regulatory requirements
Full Job Description
JOB SUMMARY
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
Bachelor's or Master's 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

Preferred Qualifications
Experience with MLOps tools and model lifecycle management
Familiarity with Generative AI, NLP, or advanced analytics solutions
Certifications in cloud platforms or AI/ML technologies
Experience in consulting or enterprise transformation initiatives

Key Skills & Competencies
Strategic thinking and business acumen
Strong program & project management skills (Agile/Scrum preferred)
Excellent communication and executive presence
Problem-solving and decision-making under ambiguity
Leadership and team-building capabilities

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