Director, AI Engineer
On-siteAtlanta, Georgia, United States
Job Summary
Lead end-to-end AI solution development and transformation programs using cloud AI services to enhance customer experience and operational efficiency. Act as a trusted advisor to senior and C-level stakeholders, shaping AI strategies and roadmaps while overseeing the design, architecture, and delivery of multi-agent conversational AI systems. Drive business development to expand the AI portfolio by identifying market opportunities, developing proposals, and securing new client engagements. Manage and mentor cross-functional teams to promote technical excellence and ensure alignment with KPMG's digital strategy. This Director-level role requires eight years of recent experience in AI/ML, cloud technology, and leadership in consulting or technology organizations. Applicants must be authorized to work in the U.S. without visa sponsorship.
Required Qualifications
- Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology
- Leadership roles in consulting or technology organizations
- Advanced degree from an accredited college or university in computer science, data science, engineering, or related field
- Minimum of a Bachelor's degree from an accredited college or university
- Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem (including agent build functionality)
- Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services
- Capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation
- Skilled in designing multi-agent conversational AI systems integrated with enterprise applications (CRM, ERP)
- Experience in conversational AI integration
- Deep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices
- Ability to bring industry consulting insights with a balance of technical and business acumen
- In-depth knowledge of AI orchestration and best practices
- Travel as needed
- Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship
Desired Qualifications
- AI certifications (for example: Professional AI Architect, Machine Learning Engineer)
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