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, including:
• Establish and operationalize AI lifecycle management practices, including:
• Model versioning, validation, deployment, and monitoring
• Performance tracking and drift detection
• 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 federated AI enablement, including:
• Self-service platform capabilities to AI Engineering
• Ensuring adoption through ease-of-use and standardization
• Providing tooling, frameworks, and guardrails to ensure consistency and quality across distributed teams
• Acting as a central enablement layer supporting both AAI and product-aligned engineering teams
• Partner & ecosystem management, including:
• Defining and managing relationships with technology vendors and platform partners (e.g., cloud, AI tooling providers)
• Evaluating and integrating emerging AI technologies and tools into the platform ecosystem
• Optimizing the balance between build vs. buy vs. partner decisions
• Team leadership & capability building, including:
• Leading a high-performing team of AI platform engineers, MLOps specialists, and platform architects
• Defining skills, roles, and career paths for AI platform talent
• Driving capability building in AI engineering, platform operations, and emerging AI technologies
• Fostering 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

Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner.

Able to work upright and stationary for typical working hours.

Able to use and learn standard office equipment and technology with proficiency.

Able to perform successfully under pressure while prioritizing and handling multiple projects or activities.

May require as-needed travel (0-20%).

Band 9 level role

Location: Remote US (east coast preference).

Relocation assistance is NOT provided.

Must be legally authorized to work in the United States without sponsorship.

Must be able to pass a comprehensive background check, which includes a drug screening.

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