Job Description
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.
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Key Responsibilities
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• Architect end-to-end AI solutions spanning RAG pipelines, intelligent document processing, structured data extraction, and conversational AI.
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• Lead technical design using Microsoft Foundry, Azure AI Search, Azure Document Intelligence, LangChain, LangGraph, and LangSmith.
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• Collaborate with clients to understand requirements, translate them into scalable architectures, and present solutions confidently.
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• Support presales activities including RFP responses, technical proposals, and solution demos.
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• Prepare and present status reports and executive-level presentations for client and internal stakeholders.
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• Mentor and guide the development team; conduct code reviews and enforce best practices.
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• Participate in the hiring process — shortlisting candidates, conducting technical interviews, and evaluating fit.
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• Ensure solutions are production-ready, secure, and aligned with enterprise architecture standards.
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Required Skills & Experience
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• 8+ years of overall experience with 3+ years in AI/ML solution architecture.
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• Hands-on expertise with Python, FastAPI, LangChain, LangGraph, and LangSmith.
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• Strong experience with RAG architectures, vector databases, and Azure AI services (Azure AI Search, Azure Document Intelligence).
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• Experience working with evaluation concepts and frameworks such as RAGAS. Familiarity with LangSmith (or equivalent frameworks) for observability, tracing, and evaluation of LLM applications.
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• Proficiency with Microsoft Foundry and Azure-based AI/ML ecosystems.
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• Solid understanding of API design (FastAPI, Swagger/OpenAPI), CI/CD, and cloud deployment.
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• Proven track record in client-facing roles — requirements gathering, solution presentations, and stakeholder management.
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• Experience in presales — writing proposals, responding to RFPs, and building PoCs.
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• Excellent written and verbal communication skills in English.
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Nice to Have
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• Experience with multi-agent orchestration frameworks.
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• Exposure to structured data extraction from documents (invoices, contracts, reports).
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• Prior experience with team management or technical leadership roles.
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