IT Associates
Director, Artificial Intelligence & Machine Learning
IT Associates, Frankfort, Kentucky, United States
Director, Artificial Intelligence & Machine Learning
Location: Columbus, OH
Compensation: $156,000.00 – $234,000.00 per year
Job Summary We are entering a pivotal phase in our data transformation and AI/ML journey. This leadership role goes beyond execution; it requires a visionary capable of bridging legacy systems with future‑state AI/ML capabilities, driving adoption across the enterprise, and establishing a world‑class Center of Excellence (COE).
Responsibilities
Lead the enterprise AI/ML COE, define and evolve the AI/ML roadmap, and align it with business objectives and emerging technologies.
Champion responsible AI and enable enterprise‑wide AI adoption.
Bridge traditional systems with modern AI capabilities and embed AI/ML into core business processes, not just pilots.
Manage budget priorities and stakeholder expectations while delivering tangible outcomes.
Recruit, mentor, and grow a high‑performing engineering organization; establish best practices for ML Ops, model lifecycle governance, and platform scalability.
Drive innovation with Generative AI and agentic systems, evaluating open‑source and proprietary models (e.g., LLaMA, Phi) and staying at the forefront of the GenAI ecosystem.
Empower data scientists to transform models into reliable, governed, and scalable AI systems; accelerate deployment through automation and reusable infrastructure.
Oversee design and deployment of AI pipelines, custom agents, and ML platforms; ensure productionization of models built in Python, deployed as containers or on Databricks using modern engineering practices.
Partner with senior leadership, data engineering, data science, and architecture teams to deliver integrated solutions across major business units (Supply Chain, Finance, HR, Tech).
Navegate concerns around automation and job displacement with a compelling vision for value creation.
Qualifications – Required
Bachelor’s or Master’s in Computer Science, Engineering, or related field.
10+ years in AI/ML, including 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, LLMs, and multi‑agent systems (e.g., MCP, A2A).
Strong foundation in Python, containerization, and large cloud platforms (AWS, Azure, GCP); experience with Databricks preferred.
Ability to lead teams leveraging large‑scale cloud‑native solutions.
Exceptional communication and stakeholder management skills.
Preferred – Additional Qualifications
Experience as a strategic change agent, scaling AI capabilities in large, matrixed organizations.
Background embedding AI/ML into business processes and driving adoption.
Experience with both open‑source and proprietary AI models.
Familiarity with responsible AI practices and governance.
Recognized contributions to the AI/ML community (publications, open‑source projects, speaking engagements).
PhD in a relevant technical field.
Seniority Level Director
Employment Type Full‑time
Job Function Information Technology and Strategy/Planning
Industries Retail, Internet Marketplace Platforms, Consumer Services
#J-18808-Ljbffr
Compensation: $156,000.00 – $234,000.00 per year
Job Summary We are entering a pivotal phase in our data transformation and AI/ML journey. This leadership role goes beyond execution; it requires a visionary capable of bridging legacy systems with future‑state AI/ML capabilities, driving adoption across the enterprise, and establishing a world‑class Center of Excellence (COE).
Responsibilities
Lead the enterprise AI/ML COE, define and evolve the AI/ML roadmap, and align it with business objectives and emerging technologies.
Champion responsible AI and enable enterprise‑wide AI adoption.
Bridge traditional systems with modern AI capabilities and embed AI/ML into core business processes, not just pilots.
Manage budget priorities and stakeholder expectations while delivering tangible outcomes.
Recruit, mentor, and grow a high‑performing engineering organization; establish best practices for ML Ops, model lifecycle governance, and platform scalability.
Drive innovation with Generative AI and agentic systems, evaluating open‑source and proprietary models (e.g., LLaMA, Phi) and staying at the forefront of the GenAI ecosystem.
Empower data scientists to transform models into reliable, governed, and scalable AI systems; accelerate deployment through automation and reusable infrastructure.
Oversee design and deployment of AI pipelines, custom agents, and ML platforms; ensure productionization of models built in Python, deployed as containers or on Databricks using modern engineering practices.
Partner with senior leadership, data engineering, data science, and architecture teams to deliver integrated solutions across major business units (Supply Chain, Finance, HR, Tech).
Navegate concerns around automation and job displacement with a compelling vision for value creation.
Qualifications – Required
Bachelor’s or Master’s in Computer Science, Engineering, or related field.
10+ years in AI/ML, including 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, LLMs, and multi‑agent systems (e.g., MCP, A2A).
Strong foundation in Python, containerization, and large cloud platforms (AWS, Azure, GCP); experience with Databricks preferred.
Ability to lead teams leveraging large‑scale cloud‑native solutions.
Exceptional communication and stakeholder management skills.
Preferred – Additional Qualifications
Experience as a strategic change agent, scaling AI capabilities in large, matrixed organizations.
Background embedding AI/ML into business processes and driving adoption.
Experience with both open‑source and proprietary AI models.
Familiarity with responsible AI practices and governance.
Recognized contributions to the AI/ML community (publications, open‑source projects, speaking engagements).
PhD in a relevant technical field.
Seniority Level Director
Employment Type Full‑time
Job Function Information Technology and Strategy/Planning
Industries Retail, Internet Marketplace Platforms, Consumer Services
#J-18808-Ljbffr