Senior Director, AI Platform Architecture

Work Schedule

Environmental Conditions

Job Description

At PPD Thermo Fishers clinical research group (CRG) were using digital innovation data science and AI to reimagine how life-changing therapies reach patients. Our teams combine deep scientific expertise with advanced analytics automation and digital platforms to make research smarter faster and more connected.

We know that innovation happens when diverse minds meet. Our Digital Science Data and AI professionals collaborate closely with scientists clinicians and operational experts to solve real-world challenges in clinical research. Alongside our partnership with Open AI you can be part of the collaboration that will help to improve the speed and success of drug development enabling customers to get medicines to patients faster and more cost effectively.

About the Team:
CRG Digital AI is the engine that translates our digital strategy into scalable production-ready AI capabilities that drive measurable business impact. Operating in close partnership with Product Data and Engineering the team embeds AI across our digital portfolio to accelerate clinical trial execution enhance data-driven decision-making and unlock differentiated value for our customers. Through a combination of centralized platforms standards and federated execution CRG Digital AI enables rapid innovation while ensuring consistency quality and responsible AI practices.

About the Position:
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. This leader owns the end-to-end AI platform strategy architecture and delivery modelensuring that AI capabilities are scalable reusable secure and production-ready.

Operating at the intersection of Applied AI (AAI) Data Platforms and Digital Engineering this role serves as the backbone of CRGs AI ecosystemproviding the tools infrastructure standards and services required to accelerate AI innovation while maintaining governance compliance and operational excellence. The Director will enable both centralized and federated AI execution empowering product and engineering teams to build AI solutions efficiently and consistently.

Key Responsibilities:
AI Platform Strategy & Ownership

• 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

Platform Architecture & Engineering

• 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)
• Ensure platform supports GenAI agentic workflows and traditional ML use cases
• Establish standards for performance scalability reliability and cost efficiency

Reusable AI Capabilities & Tooling

• 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

MLOps Governance & Responsible AI Enablement

• 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

Federated AI Enablement

• Provides self-service platform capabilities to AI Engineering; ensures adoption through ease-of-use and standardization
• Enable a federated AI model allowing domain/product teams to build AI capabilities while leveraging centralized platform standards
• Provide tooling frameworks and guardrails to ensure consistency and quality across distributed teams
• Act as a central enablement layer supporting both AAI and product-aligned engineering teams

Cross-Functional Integration

• Partner closely with:AAI (Applied AI) for solution design and AI architecture Data Platforms for data ingestion quality and readiness and Digital Engineering for product integration and delivery
• Ensure seamless integration of platform capabilities into AI products and workflows

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

Measures of Success:

• Adoption and utilization of the AI platform across CRG Digital teams
• Reduction in time-to-deploy AI solutions and increased development velocity
• Increased reuse of AI components and platform capabilities
• Strong performance of AI systems (reliability scalability cost efficiency)
• Effective implementation of AI governance and lifecycle management practices
• Development of a scalable and high-performing AI platform organization

Qualifications:

• Bachelors 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 practicesand Cloud platforms and modern data architectures
• Experience operating in complex matrixed organizations with cross-functional stakeholders
• Experience in regulated environments (healthcare/life sciences) preferred

Knowledge Skills and Abilities:

• Deep technical and strategic understanding of AI platform architecture and operations
• Strong systems thinking with ability to balance innovation scalability and governance
• Ability to translate platform capabilities into business and product impact
• Strong leadership and team-building capabilities
• Excellent stakeholder management and ability to influence across Product Data AI and Engineering teams
• Ability to operate in a fast-paced evolving technology landscape

At Thermo Fisher Scientific we are committed to fostering a healthy and harmonious workplace for our employees. We understand the importance of creating an environment that allows individuals to excel. Please see below for the required qualifications for this position which also includes the possibility of equivalent experience:

• 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.
• Ability 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

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

• 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

For more information on our benefits please visit: Experience:

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