Solution Architect- Agentic AI/ Application AI

Role Overview: We are looking for a senior AI Application / Agentic AI Solution Architect with strong hands-on and client-facing experience. This role blends technical presales, solution architecture, and AI innovation leadership. The architect will work closely with clients, and delivery teams to design scalable AI applications and agentic systems, while also contributing to internal R&D, skill development initiatives. The ideal candidate has 10+ years of overall experience and minimum 5 years in AI, a proven track record of architect-level project deliveries, and deep understanding of modern AI/LLM-driven architectures and Agentic AI design patterns, along with strong fundamentals in the Microsoft development stack and working knowledge for Insurance domain is advantage. Key Responsibilities: Technical Presales & Account Growth - Act as a technical solution architect in client-facing presales engagements, including discovery calls, solution walkthroughs, and proposal/SOW support. Translate business problems into AI-driven solution architectures, clearly articulating value, scope, assumptions, and implementation approach. Support account growth activities by identifying AI-led transformation opportunities and reusable solution patterns. Collaborate with sales and leadership teams on AI solution positioning, estimates, and technical risk assessments. Solution Architecture & Delivery Support - Lead end-to-end solution architecture for AI applications and Agentic AI systems. Partner with AI application delivery teams to define: High-level and low-level architecture Integration patterns Data flow, orchestration, and scalability considerations Review and guide implementation to ensure adherence to architecture, security, performance, and design best practices. Provide architectural oversight across multiple AI initiatives as needed. Agentic AI & AI Application Design - Design and review Agentic AI systems, including multi-agent workflows, tool-using agents, planners, and autonomous/semi-autonomous agents. Apply Agentic AI design patterns, such as: PlannerExecutor Tool-using / Function-calling agents Multi-agent collaboration Human-in-the-loop and guardrail-based workflows RAG-based and hybrid knowledge systems Evaluate and recommend latest AI models, frameworks, and orchestration tools based on use case fit, cost, performance, and governance. Required Skills & Expertise: AI & Agentic AI - Strong understanding of modern AI/LLM ecosystems, including foundation models and fine-tuning concepts. Hands-on experience with AI application development, including: Prompt engineering and orchestration Retrieval-Augmented Generation (RAG) Agentic workflows and tool integrations Experience with Agent/Orchestration frameworks (e.g., Semantic Kernel, LangGraph, AutoGen, CrewAI, or equivalent). Awareness of AI governance, security, guardrails, and responsible AI considerations. Microsoft Technology Stack Strong hands-on experience with: ASP.NET / ASP.NET Core C# SQL Server / Azure SQL Experience with Azure cloud services and/or AWS, especially in the context of AI solutions (preferred). Familiarity with web application architecture, APIs, authentication, and integration patterns. Client-Facing & Communication Skills: Proven ability to communicate complex technical concepts to non-technical stakeholders. Strong experience in client calls, workshops, and solution presentations. Ability to balance business needs, technical feasibility, and delivery constraints. .