AI Architect

Key Responsibilities:

• Design AI-powered assistants, copilots, and agents to improve knowledge discovery, troubleshooting, and engineering productivity.
• Lead the development of AI products, accelerators, and proof-of-concepts (PoCs) addressing business and operational challenges.
• Build intelligent solutions for incident triage, RCA, predictive insights, automated recommendations, and workflow orchestration.
• Lead and mentor AI engineers, data scientists, data engineers, software engineers, and domain experts.
• Integrate structured and unstructured data, telemetry, documentation, and operational knowledge into unified AI platforms.
• Establish AI architecture, governance, security, observability, and responsible AI standards.
• Support solution design, bids, proposals, client presentations, executive briefings, and AI transformation initiatives through technical leadership.

Required Skills and Expertise:
Telecom Network Expertise:

• Strong understanding of RAN, Core, Transport, OSS/BSS, Service Assurance, Network Operations, and Engineering domains.

AI and Agentic AI Architecture:

• Expertise in LLMs, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Vector Databases, Multi-Agent Systems, and AI orchestration frameworks.

Network Operations Intelligence:

• Experience building AI solutions for incident management, root cause analysis (RCA), anomaly detection, predictive maintenance, and operational automation.

Data and Cloud Architecture:

• Expertise in Azure, Fabric, Databricks, Snowflake, data engineering, MLOps, LLMOps, APIs, and microservices.

Knowledge Management Platforms:

• Experience with semantic search, engineering copilots, enterprise knowledge repositories, and decision-support systems.

Enterprise Architecture and Governance:

• Define architecture standards, integration patterns, security controls, and AI governance frameworks.

Leadership and Stakeholder Management:

• Lead cross-functional teams, mentor engineers, and drive enterprise-wide AI adoption.

AI Product Innovation and Pre-Sales:

• Develop AI accelerators and support solution design, proposals, executive engagements, and client workshops.