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AI Architect

Pi Square Technologies

Job Description

AI Architect - Telecom Domain

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Job Overview

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We are seeking an experienced AI Architect with deep expertise in the Telecom domain to design and implement next-generation AI solutions. The ideal candidate will have strong knowledge of telecom networks, AI/ML architectures, cloud platforms, and enterprise-scale solution design. This role involves leading AI initiatives, building intelligent copilots and agents, driving innovation, and supporting strategic business transformation programs.

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Key Responsibilities

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Design and architect AI-powered assistants, copilots, and agentic AI solutions for telecom operations and engineering teams.

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Develop intelligent solutions for incident management, root cause analysis (RCA), anomaly detection, predictive maintenance, and operational automation.

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Build and integrate AI platforms using LLMs, RAG, Knowledge Graphs, Vector Databases, and Multi-Agent Systems.

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Lead AI product development, accelerators, proofs of concept (PoCs), and enterprise AI initiatives.

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Integrate structured and unstructured data from network telemetry, documentation, OSS/BSS platforms, and operational systems.

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Establish AI governance, security, observability, and responsible AI standards.

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Mentor cross-functional teams including AI Engineers, Data Scientists, Data Engineers, and Software Developers.

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Support client solutioning, executive presentations, proposals, and AI transformation engagements.

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Required Skills

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Strong Telecom domain expertise in RAN, Core Networks, Transport, OSS/BSS, Service Assurance, and Network Operations.

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Hands-on experience with LLMs, Agentic AI, RAG, Knowledge Graphs, Vector Databases, and AI Orchestration Frameworks.

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Expertise in Azure, Databricks, Microsoft Fabric, Snowflake, MLOps, LLMOps, APIs, and Microservices.

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Experience building AI solutions for network intelligence, automation, and operational analytics.

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Strong leadership, stakeholder management, and enterprise architecture experience.

Vacancy posted 3 days ago
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