Key Responsibilities
Strategy & Execution
- Define and lead the organization's AI strategy, aligned with business priorities
- Translate strategy into practical, deployable AI use cases with measurable impact
- Remain hands-on in solution design, architecture, and key technical decisions
AI / GenAI Development
- Actively contribute to the development of AI/ML and GenAI solutions (e.g., LLMs, RAG, agent frameworks)
- Review code, guide model development, and ensure best practices in implementation
- Lead prototyping and rapid experimentation for new AI initiatives
Platform & Infrastructure Ownership
- Architect and oversee scalable AI platforms (data pipelines, model lifecycle, MLOps)
- Work closely with data engineering teams to ensure robust, production-grade systems
- Evaluate and implement modern tools across cloud and AI ecosystems
Team Leadership
- Build and mentor a high-performing AI team while staying actively involved in delivery
- Set technical standards and foster a strong engineering culture
- Balance delegation with direct contribution on critical initiatives
Stakeholder Engagement
- Partner closely with business leaders to identify and prioritize AI opportunities
- Translate complex technical concepts into clear business value
- Drive adoption of AI solutions across the organization
Governance & Best Practices
- Establish frameworks for model governance, monitoring, and ethical AI
- Ensure solutions meet security, compliance, and data privacy requirements
Requirements
Experience
- 10-15+ years in AI, machine learning, or data engineering
- Proven experience leading teams while remaining hands-on in technical delivery
- Track record of building and deploying AI solutions in production environments
Technical Expertise
- Strong hands-on experience with:
- Machine learning and deep learning
- GenAI (LLMs, RAG, agent-based systems)
- Python and modern ML frameworks
- Experience with cloud platforms (AWS, Azure, or GCP) and scalable architectures
- Strong understanding of MLOps and data engineering concepts
Leadership
- Comfortable switching between strategy and execution
- Strong ownership and problem-solving mindset
- Ability to thrive in a fast-paced, evolving environment
Why Join
- Opportunity to build and shape AI capabilities from the ground up
- High-impact role with visibility across senior leadership
- Balance of technical depth and strategic influence
