Senior Director, AI Platform Architecture

About the job For our client, we are seeking a Senior Director AI Platform Architecture to join the team of a leader in the Pharmaceuticals & Biotech space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will work across engineering, product, operations, and business stakeholders to translate complex requirements into practical technology solutions. The position offers the opportunity to influence architecture, execution quality, and the technology capabilities that enable long-term growth within a life sciences environment. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $167,500 – $278,000 annually Responsibilities Define and execute the AI platform strategy and roadmap aligned to CRG Digital priorities Establish the AI platform as a shared capability layer for all AI-enabled products Lead the design and development of the AI platform architecture including MLOps pipelines Build and scale reusable AI components such as model libraries and orchestration tools Establish AI lifecycle management practices in compliance with security and governance standards Enable a federated AI model allowing product teams to leverage centralized platform standards Partner with cross-functional teams for seamless integration of AI capabilities Qualifications Bachelor's degree required; advanced degree preferred in 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 in enterprise environments Strong understanding of AI/ML technologies and MLOps/LLMOps practices Experience operating in complex, matrixed organizations with cross-functional stakeholders Experience in regulated environments, preferably healthcare/life sciences Benefits National medical and dental plans, including health incentive programs Employee assistance and family support programs, including tuition reimbursement At least 120 hours paid time off (PTO), plus paid holidays and parental leave Retirement and savings programs, including a competitive 401(k) plan Employee Stock Purchase Plan (ESPP) offering stock purchase at a discount Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs. Desired Skills and Experience AI/ML technologies, MLOps, LLMOps, Model development and deployment frameworks, Snowflake, Databricks, Cloud platforms, Regulatory knowledge in healthcare/life sciences, Python (for AI/ML development), SQL databases (for data handling and management), Containerization technologies (e.g., Docker, Kubernetes for deployment), Data integration tools (e.g., Apache Kafka for event streaming), ETL processes (to manage data flows from various sources)