AI Engineer - Director

About the role

The role involves leading AI solution development and transformation programs across industries, enhancing customer experience, operational efficiency, and decision-making. Acting as a trusted advisor, the candidate will shape AI strategies and roadmaps, oversee the design and delivery of multi-agent conversational AI systems, and ensure seamless integration, quality, and security within enterprise workflows. Responsibilities include driving business development, identifying market opportunities, developing proposals, and fostering strategic alliances. The role requires managing and mentoring cross-functional teams to promote technical excellence and stay current with AI advancements, while collaborating with platform teams to enhance AI capabilities. The ideal candidate will set strategic visions aligned with digital initiatives, maintain ethical AI practices, and foster innovation within the organization.

Responsibilities

• Lead AI solution development and transformation programs across industries.
• Enhance customer experience, operational efficiency, and decision‑making.
• Act as a trusted advisor shaping AI strategies and roadmaps.
• Oversee design and delivery of multi‑agent conversational AI systems.
• Ensure seamless integration, quality, and security within enterprise workflows.
• Drive business development, identify market opportunities, develop proposals, and foster strategic alliances.
• Manage and mentor cross‑functional teams to promote technical excellence.
• Stay current with AI advancements and collaborate with platform teams to enhance AI capabilities.
• Set strategic visions aligned with digital initiatives.
• Maintain ethical AI practices and foster innovation within the organization.

Skills

• Deep expertise in cloud AI ecosystems (Microsoft, AWS, Google).
• Designing intelligent multi‑agent systems, chatbots, and virtual assistants.
• Architecting AI‑powered workflows and integrating conversational AI with enterprise applications.
• Implementing scalable, automated solutions.
• Strong understanding of ethical AI, MLOps, and AI orchestration.
• Balance of technical and business acumen.
• Ability to lead teams, develop proposals, and foster strategic partnerships.

Qualifications

• Minimum of eight years in AI/ML, data analytics, and cloud technology.
• Leadership experience in consulting or tech organizations.
• Advanced degree in relevant fields preferred.
• Certifications such as AI Architect or ML Engineer are a plus.
• Must be authorized to work without sponsorship.