Define and evolve architectural frameworks for the Novartis Generative AI platforms, ensuring they align with business objectives, regulatory standards, and enterprise-grade principles (reusability, scalability, and compliance).
Lead GenAI solution development through agile methods, iterative prototyping, and continuous improvement. Drive Proof of Concepts (POCs), solution scaling, and stakeholder alignment.
Architect and implement AI systems that integrate with cloud platforms (AWS, Azure), support LLM lifecycle (LLMOps), and leverage NLP, foundation models, and custom tools/APIs.
Collaborate with business, IT, data, and security stakeholders to ensure alignment with enterprise data strategy, AI governance, and responsible AI frameworks including transparency, human oversight, and ethical impact assessments.
Build and manage the GenAI infrastructure and platform operations; establish clear metrics, KPIs, and evaluation frameworks to measure solution impact (business value, process efficiency, and innovation outcomes).
Foster cross-functional collaboration, knowledge sharing, and adoption of GenAI capabilities across the organization. Provide thought leadership by engaging in AI forums, partner ecosystems, and emerging technology assessments.
Serve as a trusted advisor and change agent to senior stakeholders driving AI awareness, platform scaling, and integration into enterprise workflows.
Minimum Qualifications
Advanced degree in Computer Science, AI/ML, or related field.
20+ years in software architecture and platform engineering, with proven experience in GenAI, NLP, LLMs, and cloud-native systems.
Strong programming background (Python, NodeJS, Spark, SQL) with expertise in full-stack and AI/ML tech stacks.
Demonstrated success in leading enterprise-scale AI/ML solutions and mentoring high-performing technical teams.
Deep understanding of DevSecOps, MLOps/LLMOps practices, agile delivery, and data compliance (privacy, security).
Ability to influence and collaborate at executive levels, driving both innovation and operational excellence.
