Role Overview:
- Overall 20+ years of experience in IT. Proven experience in leading AI strategy, architecture, and delivery at an enterprise or practice level.
- Deep knowledge of AI solution design principles, prompt optimization, and enterprise AI deployment models.
- Exposure to at least one major cloud AI platform (AWS - Azure - GCP).
- Strong familiarity with MLOps concepts and enterprise data-AI platforms.
- Strong stakeholder management, communication, and cross-functional leadership skills.
- Demonstrated ability to translate emerging AI capabilities into actionable business outcomes.
- Strategic mindset with experience in building and scaling AI teams and practices.
Technical & Domain Knowledge:
- Strong understanding of LLM orchestration tools and frameworks.
- Familiarity with vector databases and LLM APIs (OpenAI, Azure OpenAI, HuggingFace, Cohere).
- Knowledge of AI solution design, prompt optimization, and deployment models.
- Awareness of ML-DL frameworks and data engineering ecosystems.
- Understanding of cloud-native and containerized environments for AI workloads.
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