Senior Director, AI Platform Architecture

This is a fully remote position, open to applicants in California, +4 more states.

📋 Description

• Develop and implement the strategy and roadmap for the AI platform in alignment with CRG Digital and AI priorities.

• Position the AI platform as a shared capability layer that supports AI-enabled products and workflows.

• Ensure coherence with enterprise architecture, data platform, and security strategies.

• Oversee the design and development of the AI platform architecture, which includes model development, training, deployment, MLOps, LLMOps, model serving, monitoring, and lifecycle management.

• Integrate the platform with data solutions such as Snowflake and Databricks.

• Support GenAI, agentic workflows, and conventional ML use cases.

• Construct and enhance reusable AI components, model libraries, prompt frameworks, orchestration tools, workflow automation, and agent frameworks.

• Facilitate self-service tools and developer enablement to speed up development and minimize redundancy.

• Establish practices for AI lifecycle management, including versioning, validation, deployment, monitoring, performance tracking, and drift detection.

• Incorporate compliance, security, responsible AI, auditability, traceability, and regulatory standards into the platform.

• Enable federated AI execution through centralized standards, tools, frameworks, and guidelines.

• Collaborate with Applied AI, Data Platforms, and Digital Engineering on solution design, data readiness, product integration, and delivery.

• Manage relationships with technology vendors and platform partners while assessing emerging AI technologies.

• Optimize decisions regarding build versus buy versus partner options.

• Lead a high-performing team of AI platform engineers, MLOps specialists, and platform architects.

• Define skills, roles, and career paths while developing capabilities in AI engineering, platform operations, and emerging AI technologies.

• Promote adoption, reuse, deployment velocity, reliability, scalability, cost efficiency, governance, and overall organizational performance.

⛳️ Requirements

• A Bachelor's degree in computer science, engineering, AI/ML, or a related field is required.

• An advanced degree is preferred.

• 12 years of experience in software engineering, data platforms, AI/ML engineering, or platform leadership roles.

• Demonstrated success in building and scaling AI/ML platforms or data platforms within enterprise settings.

• Strong grasp of AI/ML and GenAI technologies.

• Familiarity with MLOps and LLMOps practices.

• Knowledge of cloud platforms and contemporary data architectures.

• Experience in intricate, matrixed organizations with cross-functional stakeholders.

• Prior experience in regulated healthcare or life sciences environments is preferred.

• Comprehensive technical and strategic knowledge of AI platform architecture and operations.

• Strong systems thinking ability to balance innovation, scalability, and governance.

• Capability to translate platform capabilities into business and product impact.

• Excellent leadership and team-building skills.

• Outstanding stakeholder management skills and the ability to influence Product, Data, AI, and Engineering teams.

• Ability to thrive in a fast-paced, evolving technology environment.

• Proficient in communicating, receiving, and comprehending information and ideas with diverse groups.

• Ability to work upright and stationary for typical working hours.

• Proficient in using and learning standard office equipment and technology.

• Capable of performing successfully under pressure while managing multiple projects.

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

• Must be able to pass a comprehensive background check, including drug screening.

• Relocation assistance is not available.

🏝️ Benefits

• Variable annual bonus based on company, team, and/or individual performance results.

• National medical and dental plans.

• National vision plan, inclusive of health incentive programs.

• Employee assistance and family support programs.

• Commuter benefits.

• Tuition reimbursement.

• A minimum of 120 hours of 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.

• Short- and long-term disability coverage.

• Competitive 401(k) U.S. retirement savings plan.

• Employees’ Stock Purchase Plan (ESPP), allowing eligible colleagues to purchase company stock at a discount.

• Occasional travel of 0–20% as needed.