Senior Director, AI Delivery – Operations

🕒 August 6

🏄 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

🤖 Artificial Intelligence

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Thermo Fisher Scientific

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1956

🏥 Healthcare

📦 Logistics

🏭 Manufacturing

Healthcare • Logistics • Manufacturing

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

• Build, operate, and scale CRG Digital’s end-to-end AI engineering and platform capability • Own AI engineering delivery, platform architecture, and the integrated automation layer • Define and scale reusable AI architecture patterns, services, and components • Develop a modern AI-native execution layer using APIs, orchestration frameworks, and automation capabilities • Lead product-aligned engineering teams delivering AI-enabled applications, services, product features, and APIs at scale • Drive adoption of AI-assisted and agent-based development, including code generation, testing, refactoring, documentation, and code review workflows • Establish an AI-amplified engineering operating model and shift engineering focus toward architecture, system design, validation, testing, and quality assurance • Own reliable, high-quality delivery of AI/ML and GenAI solutions and integrated data and feature pipelines • Partner with Solution Architecture to translate use cases into scalable, production-ready solutions • Integrate APIs, system integrations, workflow orchestration, intelligent automation, and RPA as a supporting capability • Enable human-in-the-loop, semi-autonomous, and agentic workflows • Establish end-to-end AI lifecycle management covering development, validation, deployment, monitoring, versioning, performance tracking, and drift detection • Ensure reliability, scalability, cost efficiency, observability, monitoring, auditability, traceability, security, and compliance • Define and manage engineering and platform partner ecosystems and onshore/offshore delivery models • Lead internal capability building in AI engineering, platform engineering, and emerging AI and agentic technologies • Build and lead a high-performing organization across AI engineering, platform engineering, automation, and orchestration • Define roles, skill models, and career paths aligned to future-state AI capabilities • Drive platform adoption, reduced AI deployment time, increased engineering productivity, reusable components, strong system performance, governance, and lifecycle management

🎯 Requirements

• Bachelor’s degree required in computer science, engineering, AI/ML, or a related field • Advanced degree preferred • 12 years of experience in software engineering, platform engineering, or technology leadership roles • Proven track record of building and scaling high-performing engineering organizations • Experience defining and implementing scalable, reusable platform architectures and shared capability layers in complex enterprise environments • Experience delivering AI/ML and/or GenAI-enabled systems in production • Understanding of model lifecycle, integration patterns, and operational considerations • Experience evolving engineering organizations toward modern, automation-first, and AI-assisted development practices • Success driving improvements in engineering productivity and delivery models, including AI-assisted or agent-based development adoption • Experience operating in complex, matrixed organizations with Product, Data, AI, and Business stakeholders • Experience in regulated environments such as healthcare or life sciences preferred • Understanding of compliance, security, and quality considerations in engineering systems • Strong systems thinking and ability to design scalable, reusable architecture patterns • Deep technical and strategic understanding of AI engineering, platform architecture, and modern software systems • Ability to operate at deep technical and executive levels • Strong orientation toward automation, reuse, and platform leverage • Leadership and organizational design experience building and scaling multidisciplinary engineering and platform teams • Excellent stakeholder management and communication skills • Ability to balance speed, quality, cost efficiency, and regulatory compliance • Comfortable operating in ambiguity and leading teams through evolving AI and agentic technologies • Ability to communicate, receive, and understand information and ideas with diverse groups • Ability to work upright and stationary for typical working hours • Ability to use and learn standard office equipment and technology proficiently • Ability to perform successfully under pressure while prioritizing and handling multiple projects • Must be legally authorized to work in the United States without sponsorship • Must be able to pass a comprehensive background check, including drug screening

🏖️ Benefits

• Variable annual bonus based on company, team, and/or individual performance results • Choice of national medical and dental plans, and a national vision plan, including health incentive programs • Employee assistance and family support programs • Commuter benefits • 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 • Short- and long-term disability in accordance with company policy • Competitive 401(k) U.S. retirement savings plan • Employees’ Stock Purchase Plan (ESPP), with eligible colleagues able to purchase company stock at a discount • As-needed travel of 0–20%