Executive Director, Agentic Lab – Architecture Lead

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $225.4k - $418.6k / year

⏰ Full Time

🟠 Senior

🏛️ Architect

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Novartis

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

🏥 Healthcare

💼 Consulting

🏭 Manufacturing

Healthcare • Consulting • Manufacturing

Novartis is an innovative medicines company dedicated to reimagining medicine to improve and extend people’s lives. With a presence in over 250 million patients worldwide, Novartis focuses on harnessing scientific breakthroughs to develop transformative, high-value treatments in areas such as cardiovascular, renal and metabolic diseases, immunology, neuroscience, and oncology. The company is committed to diversity, equity, and inclusion, and aims to create a positive impact through societal contributions and environmental sustainability efforts. Furthermore, Novartis engages in research collaborations and embraces modern technology platforms to advance their research and development capabilities, making them a leader in the global healthcare industry.

📋 Description

• Define technical architecture, reference patterns, and engineering standards for enterprise agentic AI capabilities • Establish reusable patterns for agent orchestration, memory, evaluation, observability, tool use, RAG, APIs, and enterprise-system integration • Lead the Agentic Lab innovation roadmap through rapid experimentation, technical validation, and controlled incubation • Evaluate foundation models, agent frameworks, orchestration technologies, developer tooling, and emerging technical approaches • Build reusable proof-of-concepts, accelerators, architectural blueprints, and reference implementations • Drive adoption of shared technical assets and standards to reduce duplication and improve scalability • Partner with AI Engineering, Platform Engineering, Product, Architecture, DDIT, security, and business teams to transition validated prototypes into production-ready enterprise capabilities • Ensure architecture readiness, technical documentation, risk assessment, and operating model handoff • Embed Responsible AI, security, privacy, accessibility, data governance, regulatory, and quality expectations into architectures and validation methods • Define evaluation and monitoring expectations for reliability, explainability, performance, user safety, human oversight, and business value • Lead, coach, and develop technical talent across agentic architecture and lab activities • Communicate technical direction, architectural decisions, trade-offs, risks, and investment needs to senior stakeholders

🎯 Requirements

• Bachelor's or advanced degree in Computer Science, Artificial Intelligence, Engineering, or a related technical discipline • 12+ years of experience designing enterprise software platforms, AI architectures, data/AI products, or cloud-native engineering capabilities, including executive-level technical leadership responsibilities • Deep architecture expertise across LLMs, agent frameworks, multi-agent orchestration, RAG, vector and graph databases, tool/function calling, memory, evaluation, observability, APIs, event-driven patterns, and cloud-native deployment • Proven ability to define enterprise reference architectures, standards, reusable patterns, technical guardrails, and validated blueprints for secure, scalable, governed agentic AI deployment • Hands-on credibility with modern software engineering and AI delivery practices, including versioning, CI/CD, testing, release readiness, model/prompt evaluation, telemetry, cost/performance optimization, and operational support models • Demonstrated ability to move emerging technologies through technical scouting, lab validation, architecture review, production readiness, and handoff into engineering roadmaps • Strong fluency in Responsible AI, security, privacy, data governance, human oversight, access control, prompt/model risk, auditability, and compliance requirements for regulated enterprise AI • Preferred: experience building enterprise agentic AI platforms, developer ecosystems, or AI architecture practices in regulated environments • Preferred: familiarity with Microsoft Azure AI Foundry/OpenAI, Semantic Kernel, Copilot Studio, LangChain/LangGraph, MCP/A2A protocols, knowledge graphs, GraphRAG, and enterprise search architectures • Preferred: experience influencing senior technology and business leaders on architecture trade-offs, investment choices, platform reuse, operational risk, and scaling strategy • Preferred: track record coaching principal engineers, architects, AI engineers, and product teams • Preferred: delivery of agreed agentic architecture, lab, technical validation, governance, and capability milestones within planned timelines

🏖️ Benefits

• Performance-based cash incentive • Eligibility to be considered for annual equity awards, depending on the level of the role • Health benefits • Life benefits • Disability benefits • 401(k) with company contribution and match • Vacation • Personal days • Holidays • Other leaves • Reasonable accommodations for individuals with disabilities