Agentic AI Solution Architect/Lead (Indore)

Role Overview:
- We are looking for a senior AI Application / Agentic AI Solution Architect/Lead with strong hands-on and client-facing experience.
- This role blends technical presales, solution architecture, and AI innovation leadership. The architect/Lead 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 4-5 years in AI, a proven track record of architect-level project deliveries, and deep understanding of contemporary 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
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- 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
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- 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
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- 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: 1. PlannerExecutor 2. Tool-using / Function-calling agents 3. Multi-agent collaboration 4. Human-in-the-loop and guardrail-based workflows 5. 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
- Strong understanding AI
- of modern AI/LLM ecosystems, including foundation models and fine-tuning concepts.
- Hands-on experience with AI application development, including: 1. Prompt engineering and orchestration 2. Retrieval-Augmented Generation (RAG) 3. 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: 1. ASP.NET / ASP.NET Core 2. C# 3. 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. Apply on Kit Job: kitjob.in/job/4mvmu0