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, 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
• Federate AI enablement, providing:
• Self-service platform capabilities to AI Engineering
• 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
• Partner & Ecosystem Management, including:
• 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, involving:
• 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