Senior Director, AI Platform Architecture

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🕒 Julho 21

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Logo of Thermo Fisher Scientific

Thermo Fisher Scientific

10.000+ funcionários

Fundada em 1956

🏥 Saúde

📦 Logística

🏭 Manufatura

Healthcare • Logistics • Manufacturing

A Thermo Fisher Scientific é a líder mundial em servir à ciência, com receita anual de mais de US$ 40 bilhões. Sua missão é capacitar os clientes a tornar o mundo mais saudável, limpo e seguro, apoiando a pesquisa em ciências da vida, solucionando desafios analíticos complexos, aumentando a produtividade dos laboratórios e melhorando a saúde dos pacientes por meio de diagnósticos e do desenvolvimento de terapias que transformam vidas. Com uma equipe global, oferece tecnologias inovadoras e serviços farmacêuticos por meio de marcas como Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon e PPD.

Descrição

• Define and execute the AI platform strategy and roadmap, aligned to CRG Digital and AI priorities • Establish the AI platform as a shared capability layer supporting all AI-enabled products and workflows • Drive a platform-first approach to AI development, enabling reuse and scalability across domains • Lead the design and development of the AI platform architecture, including: Model development, training, and deployment frameworks • Ensure platform supports GenAI, agentic workflows, and traditional ML use cases • Build and scale reusable AI components, including: Model libraries and templates • Establish and operationalize AI lifecycle management practices, including: Model versioning, validation, deployment, and monitoring • Partner closely with AAI (Applied AI) for solution design and AI architecture • Lead a high-performing team of AI platform engineers, MLOps specialists, and platform architects

🎯 Requisitos

• Bachelor’s degree required; advanced degree preferred (computer science, engineering, AI/ML, or related field) • 12 years of experience in software engineering, data platforms, AI/ML engineering, or platform leadership roles • Proven track record of building and scaling AI/ML platforms or data platforms in enterprise environments • Strong understanding of AI/ML and GenAI technologies, MLOps/LLMOps practices and Cloud platforms and modern data architectures • Experience operating in complex, matrixed organizations with cross-functional stakeholders • Experience in regulated environments (healthcare/life sciences) preferred

🏖️ Benefícios

• A choice of national medical and dental plans, and a national vision plan, including health incentive programs • Employee assistance and family support programs, including commuter benefits and tuition reimbursement • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan • Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

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