Director, AI Engineer
On-sitePhiladelphia, Pennsylvania, 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 by identifying market opportunities, developing proposals, and securing new client engagements to expand the AI portfolio. Manage and mentor cross-functional teams, promoting a high-performance culture and ensuring alignment with KPMG's digital strategy. Work closely with Microsoft, Google, and Salesforce platform teams to develop AI capabilities within relevant ecosystems. Candidates must have eight years of experience in AI/ML and cloud technology, with deep knowledge of Microsoft, AWS, and Google Cloud ecosystems. No visa sponsorship is available for this role.
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)
- Experienced in conversational AI integration
- Deep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices for maintaining models
- 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 now or in the future
Desired Qualifications
- AI certifications (for example: Professional AI Architect, Machine Learning Engineer)
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