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Niche senior AI role at an established firm with Azure and LangChain specialization, moderately competitive.
High because role demands specialized enterprise AI, agentic frameworks, and Azure architecture experience.
High due to explicit 7+ years requirement and mandatory Azure, RAG, and LangChain expertise.
Own end-to-end AI solution architecture including pro-code Azure applications, low-code Power Platform solutions, and advanced agentic AI frameworks.
Lead modernization and design of AI workloads such as LangChain/LangGraph pipelines and production-grade RAG systems ensuring observability and enterprise governance.
Collaborate directly with internal clients to translate business requirements into scalable MVPs and oversee technical governance and developer enablement throughout delivery.
7+ years in solution or cloud architecture, preferably with Azure services (AKS, Azure OpenAI, Azure AI Foundry, etc.); equivalent GCP or AWS experience also considered.
Hands-on experience designing and deploying production RAG systems and advanced agentic AI orchestration patterns including LangChain and LangGraph.
Architecture-level knowledge of Microsoft Power Platform (Power Apps, Power Automate, Copilot Studio) and backend service design in Python/Node.js/.NET.
Work Experience Required: Minimum 7 years; Notice Period: Not explicitly mentioned in the JD.
Experienced in blending pro-code and low-code AI architectures with strong focus on enterprise-scale, observable AI solutions aligned to well-architected principles.
Comfortable operating at the intersection of technical design and client engagement, effectively communicating complex AI concepts to senior non-technical stakeholders.
Proficient in modern AI integration and orchestration patterns, with demonstrated ability to modernize existing AI workloads and proactively guide development teams via hands-on mentorship and architectural governance.