AI/ML Engineering Director

This is a director-level opportunity focused on applying AI, machine learning, automation, and analytics to modernize customer and employee support environments.
The role combines hands-on technical architecture, solution prototyping, strategic consulting, and executive-level engagement.
You will assess complex operating environments and translate business and mission challenges into scalable AI-enabled solutions.
You will help shape modernization roadmaps spanning conversational AI, agentic automation, intelligent workflows, analytics, and self-service.
The position also plays an important role in business development, including proposals, discovery sessions, business cases, and executive presentations.
Success requires the ability to bridge advanced AI capabilities with practical operational models, measurable outcomes, and compliance requirements.
This is a fully remote position supporting government and commercial clients, with approximately 10–25% travel expected.

• Bachelor’s degree in Information Technology or an equivalent combination of education and experience.

• 5+ years of related professional experience required; 15+ years preferred.

• 8+ years of experience in artificial intelligence, machine learning, intelligent workflow automation, or a closely related technical field preferred.

• US citizenship required.

• Ability to obtain and maintain a Top Secret security clearance.

• Experience applying modern AI methods to real-world challenges in complex technical environments, ideally across government or commercial industries.

• Demonstrated experience designing or implementing AI and automation solutions within support or service organizations.

• Strong understanding of support operating models and the ability to redesign them for greater efficiency, scalability, and automation.

• Hands-on experience with AI/ML technologies and methodologies, including virtual agents, LLM orchestration, agentic AI patterns, conversational design, AI evaluation frameworks, prompt engineering, and context engineering.

• Familiarity with AI-enabled support capabilities, copilots, safety frameworks, compliance requirements, and AI guardrails.

• Experience developing business cases, ROI analyses, cost models, or value assessments for automation and transformation initiatives.

• Demonstrated ability to prototype solutions, develop proofs of concept, and communicate technical architectures to both technical and executive audiences.

• Strong client-facing consulting, facilitation, presentation, communication, and stakeholder management skills.

• Experience owning or supporting a portfolio of work, including responsibility for cost models, financial performance, or P&L.

• Strong analytical, problem-solving, strategic planning, and decision-making capabilities.

• Ability to collaborate effectively with engineering, delivery, business development, and client teams.

• Comfortable working independently in a fully remote environment and traveling approximately 10–25% as required.