- Architect and implement agentic AI systems (multi-agent flows, LLM-driven workflows, RL-based optimizations).
- Design autonomous task flows for use cases like hypersegmentation, dynamic offer creation, predictive automation, Telecom Network maintenance, etc.
- Lead the development of custom or reusable agents that integrate with real-time systems.
Integration & Technical Strategy
- Assess client infrastructure and define integration strategies (APIs, middleware, data lakes, etc.) for AI agent deployment.
- Coordinate integration of AI agents with platforms like CRMs, ERPs, CDPs, NMS, RMS, marketing automation tools, etc.
- Ensure agent behavior is governed by enterprise guardrails (data privacy, budget limits, compliance, etc.).
Client & Stakeholder Engagement
- Translate complex AI capabilities into business language for client stakeholders.
- Collaborate with client-side IT, data science, and business teams to ensure feasibility and alignment.
- Act as the technical point of contact in pre-sales, discovery, and delivery phases.
Technical Oversight & Team Leadership
- Lead cross-functional delivery teams (AI engineers, ML researchers, software developers, integration specialists).
- Define technical standards, code quality, CI / CD practices, and documentation processes.
- Mentor junior engineers and promote knowledge sharing around agentic AI best practices.
Technical Lead • Dubai, Dubai, United Arab Emirates