Agentic AI Solution Architect

Job Description :

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 and 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 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 :

1. High-level and low-level architecture

2. Integration patterns

3. 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 :

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 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.