Senior Director, AI Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Implement and operationalize the enterprise AI strategy, ensuring it aligns with business priorities and delivers measurable outcomes.

• Promote the design, adoption, and expansion of AI platforms (ML, GenAI, MLOps, LLMOps) across clinical, regulatory, and operational areas.

• Lead the prioritization of AI initiatives, balancing immediate delivery with the long-term evolution of the platform.

• Collaborate with executive stakeholders to convert business needs into scalable AI solutions.

• Develop and expand enterprise-wide architectures for AI model development, deployment, monitoring, and lifecycle management.

• Oversee the implementation and ongoing enhancement of AI platform infrastructure and pipelines.

• Ensure seamless integration of AI platforms with the enterprise data and technology ecosystems.

• Establish and uphold Responsible AI frameworks that include model validation, bias mitigation, explainability, and auditability.

• Create AI governance structures that comply with regulatory frameworks (GxP, ALCOA+, data integrity).

• Build, lead, and grow high-performing, globally distributed AI engineering teams.

• Guide workforce planning, resource allocation, and capability development in AI engineering.

• Collaborate across functions with product, data, compliance, and IT teams.

• Manage strategic vendor relationships and AI-related third-party platforms.

• Other responsibilities may be assigned by the supervisor, which may occasionally differ from the described position.

⛳️ Requirements

• Over 10 years of experience in AI/ML, data engineering, or advanced analytics.

• More than 7 years of leadership experience managing global engineering or AI teams.

• Proven experience in building and scaling AI and ML platforms within production environments.

• Demonstrated capability to lead large-scale, cross-functional initiatives that yield measurable results.

• In-depth knowledge of ML, NLP, and Generative AI technologies.

• Familiarity with cloud platforms such as Azure, AWS, or GCP.

• Experience in managing vendors and distributed/offshore teams.

• Understanding of MLOps and LLMOps practices.

• Experience in regulated environments is strongly preferred.

🏝️ Benefits

• Comprehensive benefits package including Health, Dental, Vision, Life Disability, 401k with matching, and flexible spending accounts.

• Employee Assistance Programs and additional resources for work/life balance.

• Referral bonuses and tuition reimbursement opportunities.

• Paid time off encompassing holidays, vacation, and sick leave.

• Career development opportunities through on-the-job training, certification assistance, and continuing education reimbursement.