virtusa
Architect (ATC)
Company
Role
Architect (ATC)
Location
Job type
-
Found on Mokaru
17 hours ago
Salary
Job description
Technical Analyst — AI-Led SDLC & Migration Programme
Level
Senior Analyst / Technical Business Analyst
Function
Engineering AI-led Engineering & Modernisation
Location
Remote / Hybrid
Reports To
Programme Director Role Overview You will serve as the Technical Analyst within an AI-led SDLC programme, supporting the migration of applications from AWS cloud-native environments to Microsoft Azure. You will also review and refine AI-generated artefacts such as user stories, acceptance criteria, and backlog items, ensuring they accurately represent the intended system behaviour and align with the programme’s migration objectives. Working closely with Solution Architects, Pod Leads, and AI Orchestration teams, you will ensure that the requirements and functional context required for migration are complete, validated, and ready for execution by the agentic engineering pipeline. Key Responsibilities Requirements Discovery & SME Collaboration Engage with domain SMEs, product owners, and operational stakeholders to gather requirements that are not present within the application code or infrastructure definitions. Document business rules, workflows, system behaviours, and operational constraints required to support the migration. Identify and capture implicit or undocumented functionality that must be preserved during migration. AI-Generated Backlog Validation Review user stories, tasks, and acceptance criteria generated by Agentic AI pipelines. Validate AI-generated artefacts against Business intent Existing application behaviour SME input Refine and restructure stories to ensure they are clear, testable, and migration-ready. Functional Context Enrichment Provide contextual inputs that improve AI-driven code and migration analysis, including Business workflows Integration dependencies Data flows Operational procedures Ensure migration work packages contain sufficient functional and operational detail for engineering pods. Backlog Structuring for AI-led SDLC
Validated and refined user stories and acceptance criteria Documented business rules and functional behaviours Migration functional mapping documentation SME knowledge capture artefacts Structured backlog items ready for AI-led implementation


