Senior Director, AI Platform Architecture

We need to output HTML fragment with sections: About the role? Actually the posting includes "About the Team", "About the Position", "Key Responsibilities", "Qualifications", "Knowledge, Skills, and Abilities", "Compensation And Benefits". Also maybe "Work Schedule Standard (Mon-Fri)" and "Environmental Conditions Office". Those are schedule and environment. Should we include Schedule and Benefits sections? The posting includes schedule: "Work Schedule Standard (Mon-Fri)" and "Environmental Conditions Office". That's schedule and environment. The instruction: include a section ONLY when posting has real, specific content for it — never emit a heading followed by filler/placeholder text. So we can include Schedule and maybe Environmental Conditions as part of Schedule? Could be separate sections: Schedule and Work Environment? But headings list includes Schedule, Benefits, Pay, etc. We have Pay (Compensation And Benefits includes salary range). Benefits also described. So we need sections: About the Team? Not in headings list but we could use About the role? The headings list includes About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We should map content accordingly. We have "About the Team:" and "About the Position:" which could be combined as About the role. We'll output

About the role

with paragraphs combining both. Key Responsibilities ->

Responsibilities

with

• each bullet. Qualifications ->

  Qualifications

  with
  • . Knowledge, Skills, and Abilities -> could be

    Skills

    (or maybe Skills). We'll use Skills. Compensation And Benefits -> we need Pay and Benefits sections. The posting includes salary range and bonus, plus benefits list. So we can have

    Pay

    with paragraph about salary range and bonus. Then

    Benefits

    with
    • each benefit. Schedule -> we have "Work Schedule Standard (Mon-Fri)" and "Environmental Conditions Office". Could combine into Schedule section? But schedule is separate; environment maybe not a heading. Could include schedule and environment in Schedule section as paragraph. Or we could create a separate section for Work Environment but not in allowed headings. Probably include Schedule section with that info. We must not repeat job title as heading. No Job ID etc. Remove boilerplate: cookie/navigation/legal/EEO etc. Not present. We must preserve all substantive information. Ensure we don't omit details like location remote US east coast preference, relocation assistance not provided, must be legally authorized, background check, drug screening, Band 9 level role. Those are part of qualifications or maybe we can include in Qualifications or a separate section like Requirements? The headings list includes Requirements. Could place those under Requirements. But we already have Qualifications. Might be better to have Requirements for things like location, travel, authorization, background check. Qualifications for education/experience. Skills for KSAs. Thus sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Pay, Benefits, Schedule. Let's extract content. About the Team and About the Position paragraphs: 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 model—ensuring 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 CRG’s AI ecosystem—providing 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. We'll combine into About the role paragraph(s). Could be two

      elements. Responsibilities: list from "Key Responsibilities:" with sub-bullets. We need to capture each bullet as

    • . The bullet list includes: - 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 - 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 Also "Measures of Success:" maybe could be part of Responsibilities? But it's separate. Could be included under Responsibilities as additional bullet? Might be better to include as separate section? Not in headings. Could incorporate into Responsibilities as bullet. We'll include Measures of Success as bullet under Responsibilities. Now Requirements: includes location remote US east coast preference, relocation assistance not provided, must be legally authorized to work in US without sponsorship, must pass background check drug screening, Band 9 level role, maybe also travel 0-20% as-needed. Also Work Schedule Standard (Mon-Fri) and Environmental Conditions Office could be under Schedule but we also have schedule heading. Let's put location, travel, auth, background check, band level under Requirements. Also maybe "Able to communicate..." etc from the later paragraph about abilities? That seems like a duplicate of qualifications? Actually after "Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience:" then list of abilities: Able to communicate..., Able to work upright..., Ability to use..., Able to perform..., May require as-needed travel (0-20%). That seems like more qualifications/abilities. We'll incorporate those into Requirements or Skills? They are more like abilities. Could go under Skills. But we already have Skills for Knowledge, Skills, and Abilities. Might combine. Let's parse: The block after "Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience:" includes: - 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%). These are more like general abilities/requirements. We'll put them under Requirements as bullet list. Also 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. We'll include those as bullet points under Requirements. Now 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 We'll make each as
    • . Skills: Knowledge, Skills, and Abilities list: - 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 We'll make
    • . Pay: Compensation And Benefits section: salary range $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'll put that in

      . Benefits: list of benefits: - 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