AI Architect (Telecom Background)

Sira Consulting, an Inc 5000 company

9 hours ago

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Design AI-powered assistants, copilots, and agents to improve knowledge discovery, troubleshooting, and engineering productivity.
Lead development of AI products, accelerators, and 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 solutioning, bids, proposals, client presentations, executive briefings, and AI transformation initiatives through technical leadership.

Lead design of AI-powered assistants and agents to boost knowledge discovery and engineering productivity.
Drive development of AI products, accelerators, and PoCs for key business challenges.
Develop intelligent solutions for incident triage, RCA, predictive insights, and automated recommendations.
Mentor AI engineers, data scientists, and software engineers across projects.
Unify data sources into AI platforms with telemetry and docs integration.
Define AI architecture, governance, and security standards.
Support client interactions and AI transformation initiatives with technical leadership.

LLMs

RAG

Knowledge Graphs

Vector Databases

Multi-Agent Systems

AI orchestration

Azure

Databricks

MLOps

LLMOps

APIs

Microservices

Semantic Search

Knowledge Repos

Governance

Leadership

Pre-Sales

Telecom Network Expertise - Strong understanding of RAN, Core, Transport, OSS/BSS, Service Assurance, Network Operations, and Engineering domains.
AI & Agentic AI Architecture - Expertise in LLMs, RAG, Knowledge Graphs, Vector Databases, Multi-Agent Systems, and AI orchestration frameworks.
Network Operations Intelligence - Experience building AI solutions for incident management, RCA, anomaly detection, predictive maintenance, and operational automation.
Data & 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 & Governance - Define architecture standards, integration patterns, security controls, and AI governance frameworks.
Leadership & Stakeholder Management - Lead cross-functional teams, mentor engineers, and drive AI adoption across the enterprise.
AI Product Innovation & Pre-Sales - Build AI accelerators, support solutioning, proposals, executive engagements, and client workshops.

Required Skills & Experience

Design AI-powered assistants, copilots, and agents to improve knowledge discovery, troubleshooting, and engineering productivity.
Lead development of AI products, accelerators, and 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 solutioning, bids, proposals, client presentations, executive briefings, and AI transformation initiatives through technical leadership.