Senior Director, AI Platform Architecture

About the role

Reporting to the VP, Head of Analytics and AI, the Senior Director, AI Platform Architecture is a senior leadership role within CRG Digital responsible for defining, building, and scaling the foundational AI platform that enables the rapid development, deployment, and operation of AI-enabled products and solutions across CRG.

Responsibilities

• 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
• Ensure alignment with enterprise architecture, data platform (MDP), and security strategies
• 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
• MLOps and LLMOps pipelines
• Model serving, monitoring, and lifecycle management
• Integration with data platforms (e.g., Snowflake, Databricks)
• Establish standards for performance, scalability, reliability, and cost efficiency
• Build and scale reusable AI components, including:
• Model libraries and templates
• Prompt frameworks and orchestration tools
• Workflow automation and agent frameworks
• Enable rapid development through self-service tools and developer enablement
• Reduce duplication and accelerate time-to-market through standardization and reuse
• Enable MLOps, governance, and responsible AI practices
• Partner with AI Risk/Governance teams to embed compliance, security, and responsible AI principles into the platform
• Ensure auditability, traceability, and adherence to regulatory and enterprise standards
• Provide self-service platform capabilities to AI Engineering
• Enable a federated AI model, allowing domain/product teams to build AI capabilities while leveraging centralized platform standards
• Act as a central enablement layer supporting both AAI and product-aligned engineering teams
• Partner & Ecosystem Management
• Define and manage relationships with technology vendors and platform partners (e.g., cloud, AI tooling providers)
• Evaluate and integrate emerging AI technologies and tools into the platform ecosystem
• Optimize the balance between build vs. buy vs. partner decisions
• Team Leadership & Capability Building
• Lead a high-performing team of AI platform engineers, MLOps specialists, and platform architects
• Define skills, roles, and career paths for AI platform talent
• Drive capability building in AI engineering, platform operations, and emerging AI technologies
• Foster a culture of innovation, reliability, and continuous improvement

Qualifications

• 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

Compensation and Benefits

The salary range estimated for this position based in North Carolina is $167,500.00–$278,000.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

• 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
• Retail 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

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards