Experience : 8–12 years of software engineering experience, with 5+ years in technical architecture or senior technical leadership roles. Strong hands-on experience in cloud-native development, APIs, data platforms, modern UI frameworks, and AI/agentic solution design. Key Responsibilities  Serve as the key technical designer and architect for the engineering pod, providing hands-on guidance and technical vision for starter solutions, PoVs, accelerators, and AI-driven solutions.  Design and implement AI/ML models, agentic systems, and automation workflows to accelerate solution delivery and customer outcomes.  Translate business and solution requirements into scalable, reusable, production-ready architectures, integrating AI, microservices, APIs, and cloud services.  Lead architecture and code reviews, ensuring solutions adhere to technical standards, security, and governance.  Collaborate with Engineering Manager and Engineers to ensure alignment on technical feasibility, AI strategy, and delivery timelines.  Drive adoption of emerging AI frameworks, agentic tools, and cloud services to improve solution quality, speed, and innovation.  Mentor engineers on AI/ML best practices, cloud architecture, and reusable patterns.  Provide hands-on support during customer workshops, PoV/PoC sessions, and consulting engagements to resolve technical challenges and validate AI-driven designs.  Ensure all solutions meet security, compliance, and governance requirements. Qualification:  Experience: 8–12 years of software engineering experience, including 5+ years in technical architecture and design  Cloud & Architecture: Deep expertise in cloud platforms (AWS, Azure, GCP), microservices, APIs, modern UI frameworks, and data stores.  AI & Agentic Solutions: Proven experience designing, building, and deploying AI/ML models, agentic systems, and automation workflows in enterprise  Starter Solutions / PoVs: Hands-on experience creating starter solutions, PoV/PoC assets, or accelerators for engagements, with rapid delivery cycles. Measurements:  Architecture Quality: Ensure 95%+ of solutions are production-ready and align with technical standards with minimal rework.  Delivery Support: Enable the engineering pod to deliver 80–90% of starter solutions within committed timelines.  Technical Velocity: Contribute to 2–3× productivity gains through design patterns, automation, and advanced tooling.  Innovation & Reuse: Deliver 4–6 new or significantly enhanced starter solutions per year with high reuse across consulting engagements.  Customer Confidence: Lead PoV/PoC sessions with minimal technical escalations and ensure positive customer feedback.