Senior Solution Architect

About the role

The AI Native AD Solution Architect / LSA helps customers adopt the AI-Led software development lifecycle and turns that advice into winning, deliverable solutions. The role leads discovery, runs AI-Led SDLC maturity assessments, and coaches customers on embracing AI-led ways of working. It leads RFP/RFI solutioning end to end: target architecture, estimation assumptions, delivery model, NFRs, risks, proposition composition, and technical defence.

What you'll do

• A. Discovery & Advisory
• Lead discovery with customer business and technology stakeholders: goals, constraints, current SDLC, toolchain, team structure, applications landscape
• Provide advisory on AI-Led SDLC adoption: where AI fits across requirements, design, coding, testing, security, release, and operations, and what changes in roles
• Build the business case and value hypothesis (productivity, quality, speed, cost, risk) for AI-Led SDLC adoption
• B. AI-Led SDLC Maturity Assessment & Coaching

What you need

• 14–25 yrs of experience
• Git
• Stakeholder management
• Java
• Python
• TypeScript
• Microservices
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• AWS
• C#
• Mainframe
• GCP
• Azure
• CI/CD