AI Architect

Key Attributes

• Hands-on experience building and deploying Sovereign AI platforms in secure, regulated, and mission-critical environments.
• Design and architect end-to-end Sovereign AI solutions spanning infrastructure, data, security, model lifecycle management, governance, and AI applications.
• Advise customers on AI platform adoption, deployment models, data sovereignty requirements, and operational governance frameworks.
• Define AI reference architectures, deployment blueprints, and modernization roadmaps
• Proven experience implementing and operationalizing NVIDIA NIM-based AI solutions, including LLM inference, RAG architectures, AI agents, and domain-specific AI services.
• Strong expertise in Generative AI, Agentic AI, LLM fine-tuning, model serving, vector databases, and AI orchestration frameworks.
• Experience with Kubernetes, OpenStack, containers, GPU infrastructure, NVIDIA AI Enterprise, and cloud-native AI platform engineering.
• Deep understanding of telecom domains including:
• Network Operations
• Service Assurance
• Fixed & Mobile Networks
• Network Cloud Infrastructure
• OSS/BSS
• Security Operations
• Data & AI Platforms
• Knowledge of TSA requirements, data sovereignty, critical national infrastructure security, risk management, and AI governance frameworks.
• Experience applying AI to telecom use cases such as anomaly detection, root cause analysis, predictive maintenance, service assurance, autonomous networks, and network digital twins.
• Strong consulting, stakeholder management, and technical leadership skills capable of engaging executives, engineers, regulators, and government stakeholders.
• Passion for innovation, continuous learning, mentoring teams, and driving adoption of AI technologies across large-scale telecom environments.