Director, Artificial Intelligence & Machine Learning

IT Associates; Indiana (PA); On-site; USD 184,000 - 240,000; Full time

Job summary

A leading technology company in Indiana is seeking a Director of Artificial Intelligence & Machine Learning. In this senior leadership role, you will oversee the AI/ML strategy, lead enterprise transformation, and build a high-performance engineering organization. The ideal candidate has over 10 years of experience in AI/ML, with strong skills in Python and cloud platforms. This full-time position offers a competitive salary between $184,000 and $240,000, and you will be instrumental in integrating AI capabilities within the company.

Qualifications

• 10+ years' experience in AI/ML, including at least 5 years in senior leadership roles.
• Expertise in ML Ops, model deployment, AI platform architecture, and cloud-native engineering.
• Proven ability to lead large, distributed teams in cloud-native environments.

Responsibilities

• Define and evolve the AI/ML roadmap aligned with business objectives.
• Integrate AI/ML into core business processes, manage budget and stakeholder priorities.
• Collaborate with data, engineering, and architecture teams to deliver integrated solutions.

Skills

AI/ML expertise

Leadership and communication

Python proficiency

Generative AI knowledge

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

AWS

Azure

GCP

Databricks

Job description

Director, Artificial Intelligence & Machine Learning

Location: Indianapolis, IN | Salary: $184,000 - $240,000 (Full-time)

Job Summary

Senior leadership role overseeing a global ecommerce retailer's AI/ML strategy, Center of Excellence, and technology initiatives across cloud platforms and containerized solutions.

Key Responsibilities

• Lead Enterprise AI Strategy
  • Define and evolve the AI/ML roadmap and portfolio aligned with business objectives.
  • Champion responsible AI and enable enterprise-wide adoption.
• Drive Transformation
  • Bridge legacy systems with modern AI capabilities.
  • Integrate AI/ML into core business processes, manage budget and stakeholder priorities.
• Build & Scale the Center of Excellence
  • Recruit, mentor, and grow a high‑performance engineering organization.
  • Establish best practices for ML Ops, model governance, and platform scalability.
• Innovate with Generative AI
  • Lead development of advanced generative AI and multi‑agent systems in collaboration with product owners and data engineering.
  • Enable data scientists to transform experimental models into production‑grade systems.
  • Implement automation, reusable infrastructure, and CI/CD pipelines for rapid deployment.
  • Ensure seamless productionization of models built in Python and deployed to containers or Databricks.
• Leadership & Partnership
  • Collaborate with data, engineering, science, and architecture teams to deliver integrated solutions.
  • Engage senior leaders and business units across supply chain, finance, HR, and technology.
  • Communicate vision and manage concerns around automation and job displacement.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 10+ years’ experience in AI/ML, including at least 5 years in senior leadership roles.
• Expertise in ML Ops, model deployment, AI platform architecture, and cloud‑native engineering.
• Hands‑on experience with Generative AI, large language models, and multi‑agent systems.
• Strong foundation in Python, containerization, Databricks, and major cloud platforms (AWS, Azure, GCP).
• Proven ability to lead large, distributed teams in cloud‑native environments.
• Exceptional communication, stakeholder management, and executive‑level presentation skills.

Preferred Qualifications

• Strategic change agent experience scaling AI capabilities in matrixed organizations.
• Track record of embedding AI/ML into business processes and driving adoption.
• Experience with both open‑source and proprietary AI models.
• Familiarity with responsible AI governance and best practices.
• Publications, open‑source contributions, or speaking engagements in AI/ML community.
• PhD in a relevant technical field.

Employment Details

Seniority level: Director | Employment type: Full‑time | Job function: Information Technology and Strategy/Planning | Industries: Retail, Internet Marketplace Platforms, Consumer Services