Senior Director, AI Engineering
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Job Description
Senior Director leading enterprise AI platforms for WCG’s clinical-trial solutions. Scaling ML, GenAI, governance, and globally distributed engineering teams.
Responsibilities:
- Execute and operationalize the enterprise AI strategy, aligning it to business priorities and measurable outcomes
- Drive the design, adoption, and growth of AI platforms, including ML, GenAI, MLOps, and LLMOps, across clinical, regulatory, and operational domains
- Prioritize AI initiatives while balancing short-term delivery with long-term platform evolution
- Partner with executive stakeholders to translate business needs into scalable AI solutions
- Establish and scale architectures for AI model development, deployment, monitoring, and lifecycle management
- Drive implementation and continuous improvement of AI platform infrastructure and pipelines
- Integrate AI platforms with enterprise data and technology ecosystems
- Establish and enforce Responsible AI frameworks covering model validation, bias mitigation, explainability, and auditability
- Establish AI governance aligned with GxP, ALCOA+, and data integrity requirements
- Build, lead, and scale globally distributed AI engineering teams
- Drive workforce planning, resource allocation, and capability building
- Collaborate with product, data, compliance, and IT teams
- Manage strategic vendor relationships and AI-related third-party platforms
- Perform other duties as assigned by the supervisor
- Oversee team management, including direction, coordination, performance evaluation, training, work assignment, rewards, discipline, complaint handling, and problem resolution
- Travel 10% to 20%
Requirements:
- Bachelor’s degree in Computer Science or related field required
- 10+ years of experience in AI/ML, data engineering, or advanced analytics
- 7+ years of leadership experience managing global engineering or AI teams
- Experience building and scaling AI and ML platforms in production environments
- Demonstrated ability to lead large-scale, cross-functional initiatives with measurable outcomes
- Deep knowledge of ML, NLP, and Generative AI technologies
- Experience using cloud platforms such as Azure, AWS, or GCP
- Experience managing vendors and distributed/offshore teams
- Familiarity with MLOps and LLMOps practices
- Experience working in regulated environments strongly preferred
- Master’s degree preferred and therefore not required
- 10% to 20% travel
Benefits:
- Comprehensive Benefits package - Health, Dental, Vision, Life Disability, 401k with match, and flexible spending accounts
- Employee Assistance Programs and additional work/life resources
- Referral Bonuses and Tuition Reimbursement
- Paid time off including holidays, vacation, and sick time
- Opportunities for career development with on-the-job training, certification assistance and continuing education reimbursement
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