GEN AI Architect / Telecom Data Migration & AI Architect

Job Description:

We need someone who has Data Migration Background with good Agentic Al experience for your reference PFB the updated JD with key skills

• Must have Data Architecture, Data Modelling, ETL, Python experience
• Must have data migration experience (at least one full lifecycle project in Data Migration)
• Should be thorough about Migration Controller (must have built or used)
• Must have good experience with Agentic Al in Data Migration
• Should have good telco experience (BSS/OSS data migration)

Role Overview

Provide onsite architecture leadership for the telecom Data and AI program. The role defines the target architecture, governs end-to-end design and aligns business priorities, canonical data, Azure Synapse engineering, analytics, AL, security, and operations into a coherent and implementable solution.

Key Responsibilities

• Own current-state assessment, target-state architecture, transition roadmap and architecture decision records
• Design the end-to-end data platform across ingestion, lake, Synapse, curated, semantic, Al and consumption layers.
• Define integration patterns for batch, CDC, API, files, events and external partner data.
• Guide canonical modeling, data product boundaries, metadata, lineage, quality and governance architecture.
• Define Al-ready data patterns and interfaces for model development, deployment, monitoring, and responsible usage.
• Establish security, identity, network, encryption, privacy, retention, resilience, and disaster recovery principles.
• Review designs and code approaches for scalability, performance, cost, operability, and standards compliance
• Lead client architecture workshops, trade-off discussions, roadmap decisions, and technical governance boards.
• Coordinate with enterprise, BSS, OSS, cloud, security, data and Al stakeholders to resolve dependencies.
• Support estimates, delivery sequencing, risk mitigation, vendor alignment, and executive-level technical communication

Mandatory Skills

• Extensive telecom architecture experience across OSS and BSS
• Azure Synapse and modern cloud data platform architecture
• Python and SQL working depth
• Enterprise data modeling and canonical integration patterns
• AI/ML platform architecture and data lifecycle understanding
• Security, governance, resilience, performance and cost design
• Strong onsite consulting, facilitation and executive communication

Preferred Skills

• Azure architecture certification
• Databricks, Microsoft Fabric, streaming or MLOps exposure
• TM Forum standards and large-scale modernization experience

Key Deliverables

• Target-state Data and Al architecture blueprint
• Transition roadmap and architecture decision register
• Integration, security, governance and operational patterns
• Reference designs and non-functional requirement catalogue
• Design review outcomes, risk treatments and executive architecture updates Success Criteria
• Architecture decisions are approved, traceable and implementable within program constraints
• Teams adopt consistent patterns across data, analytics and Al workstreams.
• Non-functional requirements are designed early and validated through delivery.
• Material technical risks, dependencies and cost drivers are visible and actively managed
• Key Stakeholder Interfaces
• Client business and technology stakeholders; onsite and offshore delivery teams, enterprise architecture, security, governance, engineering, testing, analytics, Al and operations functions, as applicable to the role