Infinity Quest
AI Solutions Architect (Sovereign AI)
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Role Description
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.
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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.
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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.
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