Responsibilities
- Strategic AI Leadership
- Define and drive AI roadmaps aligned with corporate strategy
- Oversee the full model lifecycle from research and experimentation to production deployment
- Ensure measurable ROI and business impact from AI initiatives
- LLM & NLP Architecture (Enterprise Level)
- Design LLM ecosystems including RAG pipelines, orchestration layers, and fine-tuning strategies
- Lead domain-specific model fine-tuning and pretraining using proprietary datasets
- Integrate platforms such as Azure OpenAI, AWS Bedrock, Anthropic Claude, and Google Vertex AI
- Define governance, compliance, and security frameworks for LLM deployments
- Establish evaluation standards for hallucination rate, factual accuracy, bias, and toxicity
- Infrastructure & Governance
- Own data governance policies and feature store strategy
- Lead model observability, monitoring, and drift management frameworks
- Partner with DevOps and Security to ensure scalability, resilience, and compliance
- Team & Stakeholder Leadership
- Build and lead multidisciplinary AI teams including Data Scientists, ML Engineers, and Data Engineers
- Mentor senior scientists and define research best practices
- Communicate directly with executive leadership and non-technical stakeholders
- Evaluate AI vendors and technology partnerships
Requirements
- Master’s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math or a related field
- Minimum 7 years of overall professional experience
- At least 2+ years in AI/ML leadership roles
- Proven ability to build and scale enterprise-level AI/LLM platforms.
Nice to Have
- Visionary mindset driving innovation across business units.
- Excellent executive communication and influence skills.
- Focused on measurable ROI, scalability, and ethical AI.
- Mentors senior scientists, defining best practices and research direction.
Benefits
- Basic salary
- Family Medical Insurance
- Round-trip family flight tickets once per year
- Visa coverage
Additional Information
- Working Hours: 9 AM to 6 PM
- Days Off: Saturdays and Sundays
