Executive Director, Applied AI

Job not on LinkedIn

🔥 14 hours ago

⛰️ Colorado, New Jersey, +3 more states – Remote

⛰️ Colorado – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🔔 Pennsylvania – Remote

💵 $201.4k - $335k / year

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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

• Reporting into the VP, Head of Analytics and AI, the Executive Director, Applied AI is a senior leadership role responsible for building, operating, and scaling CRG Digital’s end-to-end AI engineering and platform capability, anchored in reusable architecture and scalable execution systems. • This includes ownership of AI engineering delivery, platform architecture, and the integrated automation layer—ensuring that AI-enabled solutions are production-ready, scalable, and seamlessly embedded into business operations. • Operating at the intersection of Applied AI (AAI), Data, and Product Engineering, this leader unifies solution delivery and platform enablement into a cohesive, high-performing system. • The role is accountable for both what gets built and how it runs, combining product-aligned engineering teams with a robust, reusable platform that accelerates development, enforces standards, and enables federated AI adoption across CRG. • A core part of this mandate is defining and scaling reusable AI architecture patterns, services, and components that support rapid development of AI-enabled capabilities across domains. • A strong focus of this role is the development of a modern AI-native execution layer, where AI-driven decisioning, services, and workflows are operationalized through APIs, orchestration frameworks, and automation capabilities.

🎯 Requirements

• Bachelor’s degree required; advanced degree preferred (computer science, engineering, AI/ML, or related field) • 15+ years of experience in software engineering, platform engineering, or technology leadership roles, with a proven track record of building and scaling high-performing engineering organizations • Demonstrated 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, including understanding of model lifecycle, integration patterns, and operational considerations • Proven ability to evolve engineering organizations toward modern, automation-first and AI-assisted development practices, driving meaningful improvements in speed, quality, and efficiency • Demonstrated success driving step-change improvements in engineering productivity and delivery models, including adoption of AI-assisted or agent-based development approaches • Experience operating in complex, matrixed organizations with cross-functional stakeholders across Product, Data, AI, and Business teams • Experience in regulated environments (e.g., healthcare, life sciences) preferred, with an understanding of compliance, security, and quality considerations in engineering systems • Strong systems thinking with the ability to design scalable, reusable architecture patterns rather than point solutions • Deep technical and strategic understanding of AI engineering, platform architecture, and modern software systems, with the ability to translate these into business and operational impact • Strong orientation toward automation, reuse, and platform leverage over bespoke development approaches • Demonstrated ability to lead transformation of engineering practices, including adoption of AI-assisted and agent-enabled development models • Strong leadership and organizational design capability, with experience building and scaling multidisciplinary engineering and platform teams • Excellent stakeholder management and communication skills, with the ability to influence across Product, Data, AI, Risk, and Business functions • Ability to balance speed, quality, cost efficiency, and regulatory compliance in a complex and evolving environment • Comfortable operating in ambiguity and leading teams through rapidly evolving technology landscapes, including emerging AI and agentic capabilities.

🏖️ 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