Executive Director, Agentic Lab – Architecture Lead

🕒 Agosto 21

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $225.400 - $418.600 / ano

⏰ Tempo Integral

🟠 Sênior

🏛️ Arquiteto

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 2%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Novartis

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1996

🏥 Saúde

💼 Consultoria

🏭 Manufatura

Healthcare • Consulting • Manufacturing

A Novartis é uma empresa de medicamentos inovadores dedicada a reimaginar a medicina para melhorar e prolongar a vida das pessoas. Com presença junto a mais de 250 milhões de pacientes no mundo, a Novartis concentra-se em aproveitar avanços científicos para desenvolver tratamentos transformadores e de alto valor em áreas como doenças cardiovasculares, renais e metabólicas, imunologia, neurociência e oncologia. A empresa é comprometida com a diversidade, a equidade e a inclusão, e busca gerar impacto positivo por meio de contribuições para a sociedade e iniciativas de sustentabilidade ambiental. Além disso, a Novartis participa de colaborações de pesquisa e adota plataformas tecnológicas modernas para avançar suas capacidades de P&D, consolidando-se como líder no setor global de saúde.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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