Senior Director, AI Platform Architecture

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🔥 8 hours ago

🏄 California, Colorado, +3 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🦀 Maryland – Remote

💵 $167.5k - $278k / year

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

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Thermo Fisher Scientific

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1956

🧬 Biotechnology

💊 Pharmaceuticals

🔬 Science

Biotechnology • Pharmaceuticals • Science

Thermo Fisher Scientific is the world leader in serving science, with annual revenue of more than $40 billion. Their mission is to enable customers to make the world healthier, cleaner, and safer by supporting life sciences research, solving complex analytical challenges, increasing laboratory productivity, and improving patient health through diagnostics and the development of life-changing therapies. With a global team, they offer innovative technologies and pharmaceutical services through brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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