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Senior, niche AI-platform role in metro cities at a well-known pharma, moderate applicant density.
Strong bias toward AI/ML platform leaders with regulated healthcare and model-governance experience, limiting cross-industry transferability.
Mandates 15+ years, deep GenAI/MLops, cloud, security, and regulated-experience, creating stringent hiring filters.
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Define and lead a multi-year technical vision for enterprise-scale AI applications and platforms, ensuring alignment with business outcomes and cost efficiency.
Provide technical leadership and establish architecture principles, standards, and platform capabilities for AI/ML solutions, including security, reliability, scalability, and governance.
Collaborate across product, data science, and platform teams to drive AI adoption, oversee model governance, manage technology partnerships, and mentor senior technical staff.
15+ years experience in software/AI engineering with technical leadership via influence, not just direct management.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience); advanced degree preferred.
Strong expertise in cloud-native distributed systems, API ecosystems, and end-to-end ML/GenAI lifecycle and governance.
Proficiency with Python, JavaScript/TypeScript, front-end frameworks, CI/CD, Docker/Kubernetes, and experience on AWS, Azure, or GCP for AI/ML deployments.
Senior technical leader with deep strategic experience managing enterprise AI platforms integrating ML Ops, generative AI, and governance frameworks.
Experience navigating cross-organizational influence in regulated environments prioritizing security, ethical AI, and operational excellence.
Skillful in building reusable AI components and internal developer platforms, with strong communication to executives and multi-disciplinary teams.