GEN AI Architect

GEN AI Architect 

Location: Plano, TX – Onsite
Role: Gen AI Architect 
Industry: Telecom – BSS/OSS

Role Overview

We are seeking a Gen AI Architect with strong Data Architecture, Data Migration, Agentic AI, and Telecom BSS/OSS experience. The candidate will lead architecture for a telecom Data & AI program, defining the target architecture, migration strategy, AI-ready data platform, and integration patterns.

Must-Have Skills

• Strong Data Architecture and Data Modeling
• Hands-on Python and SQL
• Strong ETL/ELT experience
• Proven end-to-end Data Migration experience with at least one full lifecycle migration project
• Strong experience with Migration Controllers — must have built or used one
• Hands-on Agentic AI / Gen AI experience applied to Data Migration
• Extensive Telecom BSS/OSS architecture and data migration experience
• Azure Synapse and modern cloud data platform architecture
• Enterprise canonical data modeling and integration patterns
• AI/ML platform architecture and data lifecycle understanding
• Security, governance, performance, scalability, resilience, and cost optimization
• Strong onsite consulting, client-facing communication, and executive presentation skills

Key Responsibilities

• Define current-state assessment, target-state architecture, and transition roadmap
• Design end-to-end data platforms covering ingestion, data lake, Azure Synapse, curated/semantic layers, AI, and consumption
• Define batch, CDC, API, file, event, and partner-data integration patterns
• Establish canonical models, metadata, lineage, data quality, and governance
• Design AI-ready data architecture and interfaces for model development and deployment
• Define security, identity, privacy, encryption, retention, DR, and resilience patterns
• Review architecture and engineering approaches for scalability, performance, cost, and operability
• Lead client architecture workshops and technical governance discussions
• Coordinate with enterprise architecture, BSS, OSS, cloud, security, data, and AI teams
• Support estimation, delivery sequencing, risk management, vendor alignment, and executive-level communication

Preferred Skills

• Azure Architecture certification
• Databricks / Microsoft Fabric
• Streaming technologies
• MLOps
• TM Forum standards
• Large-scale telecom modernization experience

Key Deliverables

• Target-state Data & AI Architecture Blueprint
• Data migration and transition roadmap
• Architecture decision register
• Integration, security, governance, and operational reference patterns
• Non-functional requirements catalogue
• Design review outcomes and risk mitigation plans
• Executive architecture updates

Success Criteria

• Architecture decisions are approved, traceable, and implementable
• Consistent architecture patterns are adopted across data, analytics, and AI workstreams
• Non-functional requirements are addressed early
• Technical risks, dependencies, and cost drivers are clearly identified and managed