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Strong employer brand but highly specialized senior role reduces applicant density.
Highly specialized enterprise GenAI architecture experience limits cross-industry transferability.
Explicit 18+ years and mandatory deep GenAI, MLOps, cloud and leadership experience enforce strict filters.
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Lead the development, deployment, and scaling of enterprise-wide ML and Generative AI/Agentic architectures across business services including IFAO/IPO/ICO/ISCO.
Establish governance policies and best practices ensuring AI solutions are scalable, secure, compliant with data privacy and ethical guidelines, and operationally efficient.
Mentor and lead technical teams, coordinate among business lines and technology teams to deliver reusable AI assets and drive adoption of AI solutions.
Master’s degree in Computer Science, Engineering, Data Science, or related field; Ph.D. is a plus.
At least 18 years of experience in enterprise architecture and solution delivery focusing on ML and Generative AI technologies.
Proven experience with Gen AI/Agentic frameworks (e.g., LangChain, OpenAI), cloud platforms (AWS, Azure, GCP), MLOps, CI/CD, containerization (Docker, Kubernetes), and microservices architecture.
At least 8 years of experience in end-to-end solutioning of AI/ML and Generative AI products/assets.
Expertise in designing and deploying large-scale AI-powered solutions in client-facing, enterprise environments with cross-functional team leadership.
Deep understanding of industry-specific Gen AI/Agentic use cases including SAP, Salesforce, Finance, and Supply Chain domains.
Proven ability to lead strategic innovation initiatives, create reusable AI assets, and manage stakeholder engagement across business and technology teams.