About the role

About the Role

We are looking for an experienced AI Architect to lead the design and delivery of

enterprise-grade AI solutions. You will drive technical strategy, own solution

architecture, and work closely with clients and stakeholders across the project lifecycle

— from presales to delivery.

Key Responsibilities

• Architect end-to-end AI solutions spanning RAG pipelines, intelligent document

processing, structured data extraction, and conversational AI.

• Lead technical design using Microsoft Foundry, Azure AI Search, Azure Document

Intelligence, LangChain, LangGraph, and LangSmith.

• Collaborate with clients to understand requirements, translate them into scalable

architectures, and present solutions confidently.

• Support presales activities including RFP responses, technical proposals, and

solution demos.

• Prepare and present status reports and executive-level presentations for client and

internal stakeholders.

• Mentor and guide the development team; conduct code reviews and enforce best

practices.

• Participate in the hiring process — shortlisting candidates, conducting technical

interviews, and evaluating fit.

• Ensure solutions are production-ready, secure, and aligned with enterprise

architecture standards.

Required Skills & Experience

• 8+ years of overall experience with 3+ years in AI/ML solution architecture.

• Hands-on expertise with Python, FastAPI, LangChain, LangGraph, and LangSmith.

• Strong experience with RAG architectures, vector databases, and Azure AI services

(Azure AI Search, Azure Document Intelligence).• Experience working with evaluation concepts and frameworks such as RAGAS.

Familiarity with LangSmith (or equivalent frameworks) for observability, tracing, and

evaluation of LLM applications.

• Proficiency with Microsoft Foundry and Azure-based AI/ML ecosystems.

• Solid understanding of API design (FastAPI, Swagger/OpenAPI), CI/CD, and cloud

deployment.

• Proven track record in client-facing roles — requirements gathering, solution

presentations, and stakeholder management.

• Experience in presales — writing proposals, responding to RFPs, and building PoCs.

• Excellent written and verbal communication skills in English.

Nice to Have

• Experience with multi-agent orchestration frameworks.

• Exposure to structured data extraction from documents (invoices, contracts, reports).

• Prior experience with team management or technical leadership roles.