Responsibilities

• Lead the strategy, design, and delivery of AI-driven solutions, spanning LLMs, ML models, and intelligent workflows.
• Architect and implement scalable AI systems that integrate smoothly with enterprise-grade infrastructures and development practices.
• Collaborate closely with engineering, product, and leadership teams to identify where AI can deliver the most value, and help turn those opportunities into real solutions.
• Develop and maintain internal tooling, frameworks, and guidelines to enable other teams to work effectively with AI and ML technologies.
• Guide the adoption of GenAI capabilities, including prompt engineering, RAG pipelines, and agent-based architectures, with a focus on long-term maintainability.
• Ensure systems are observable, testable, performant, and aligned with data privacy, security, and compliance needs.
• Stay informed on the evolving AI/ML ecosystem (GenAI, MLOps, vect...