Senior Director, AI Engineering
- Location
- US
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 151,200–275,000/yr
Posted 27d ago
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Responsibilities
- Execute and operationalize the enterprise AI strategy
- Drive design, adoption and growth of AI platforms (ML, GenAI, MLOps, LLMOps)
- Lead prioritization of AI initiatives
- Partner with executive stakeholders to translate business needs into scalable AI solutions
- Establish and scale enterprise-wide architectures for AI model development and deployment
- Drive implementation and continuous improvement of AI platform infrastructure and pipelines
- Ensure AI platforms integrate with enterprise data and technology ecosystems
- Establish and enforce Responsible AI frameworks
- Establish AI governance aligned with regulatory frameworks (GxP, ALCOA+)
- Build, lead, and scale high-performing, globally distributed AI engineering teams
- Drive workforce planning and capability building in AI engineering
- Collaborate cross-functionally with product, data, compliance, and IT teams
- Manage strategic vendor relationships and AI-related third-party platforms
Requirements
- 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
- Deep knowledge of ML, NLP, and Generative AI technologies
- Experience using cloud platforms such as Azure, AWS, or GCP
- Familiarity with MLOps and LLMOps practices
- Bachelor's degree in Computer Science or related field
Preferred
- Master's degree preferred
- Experience working in regulated environments (strongly preferred)
Skills
- AI
- ML
- GenAI
- MLOps
- LLMOps
- NLP
- Azure
- AWS
- GCP