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Senior, highly specialized AI/MLOps leadership role reduces competition despite strong employer brand.
Role demands specialized GenAI, MLOps, and AWS platform expertise, limiting cross-industry portability.
Multiple explicit years requirements and deep AI/Cloud/MLOps mandatory skills imply high shortlisting strictness.
Lead design, architecture, and delivery of enterprise-scale AI, Generative AI, and cloud-native solutions.
Manage and mentor multidisciplinary technical teams including AI, Python, ML, Data, MLOps, Cloud Engineers, and Solution Architects.
Own technology strategy, engineering standards, stakeholder engagement, and end-to-end delivery of production-grade AI platforms on AWS or other clouds.
Bachelor’s or Master’s degree in Computer Science, AI, ML, Data Science, Software Engineering, or related discipline.
Minimum 10 years hands-on Python software engineering and enterprise application development experience.
At least 5 years experience delivering production-grade AI/ML and Generative AI solutions; 3 years architecting Retrieval-Augmented Generation (RAG), Agentic AI, or enterprise AI platforms.
Proven leadership experience as Technical Lead, AI Engineering Manager, Principal Engineer, or Solution Architect, with experience delivering enterprise AI platforms on AWS or major cloud providers.
Experienced in driving AI innovation, reusable frameworks, and large-scale Agile delivery with strong stakeholder management and governance skills.
Technical leader skilled in engineering best practices across AI, software engineering, DevOps, cloud, and MLOps.
Comfortable managing and scaling cross-functional teams to deliver scalable, secure, high-performance AI solutions leveraging modern AI/ML frameworks and cloud-native technologies.