Senior Specialist, Data Science & AI (Claude & Copilot)

About the role

As part of Novartis Agentic Fastrack, this role enables rapid, responsible AI adoption through low-code/no-code (LCNC) and AI productivity platforms. The Senior Specialist designs, delivers and scales enterprise AI solutions using Copilot Studio, Azure AI Foundry, Anthropic Claude, Amazon Quick Suite, Power Platform and other approved LCNC technologies.

Key responsibilities

• Own the design, configuration and lifecycle management of secure, scalable LCNC and AI productivity solutions.
• Build and operationalize copilot/Claude agents, Skills, RAG solutions, prompt workflows, integrations and reusable components across approved platforms.
• Establish technical standards, guardrails, documentation, monitoring and support models for reliable and responsible AI adoption.
• Partner with business, architecture, security, data privacy, quality and platform teams to meet enterprise, GxP, GDPR, IAM and responsible AI requirements.
• Translate business needs into prioritized use cases, solution requirements, product backlogs, delivery plans and measurable outcomes.
• Drive rapid prototyping and MVP delivery, evaluate user feedback and scale validated solutions into sustainable products.
• Provide technical consulting, coaching and enablement for citizen developers, fusion teams, vendors and business stakeholders.

Required profile

• Bachelor's degree in Computer Science, IT, Engineering, Data Science or a related field; advanced degree preferred.
• Hands-on experience delivering enterprise LCNC, automation or AI solutions in SaaS/PaaS environments.
• Expertise in Copilot Studio, Azure AI Foundry, Power Platform, Claude or Amazon Quick Suite.
• Experience with Microsoft 365, SharePoint, Dataverse, Power Automate, DevOps, CI/CD and GitHub.
• Working knowledge of enterprise architecture, IAM, security, privacy, responsible AI and regulated-environment controls.
• Copilot and/or Claude certification preferred; fluent written and spoken English required.

Required skills

• GenAI, LLMs, prompting, RAG, agents, APIs, data grounding, solution evaluation and Python or similar scripting.
• Strong agile delivery, analytical, stakeholder management and communication skills in global teams.