Job Title

Role: AI Architect Experience:12+ Years Work Mode:Remote Notice Period:Immediate to 15 Days Education Note:JNTU & Osmania University candidates are avoidable Role Summary The AI Architect will lead the design, development, and governance ofenterprise-scale Generative AI platforms , with a strong focus onAI Agents and Retrieval-Augmented Generation (RAG)solutions. This role is responsible for defining scalable, secure, and production-ready GenAI architectures while driving adoption across the organization. Key Responsibilities Architecture & Platform Design Defineend-to-end architecturefor AI Agents and RAG-based systems ensuring scalability, reliability, performance, and security Design and implementproduction-grade GenAI platformsusing vector databases, embeddings, and document retrieval pipelines Architect seamless integration withCopilot Studio, Power Automate , and enterprise workflow systems Optimize GenAI solutions forlatency, throughput, cost, and accuracyin real-world production environments Governance, Standards & Security Establishenterprise GenAI standards , best practices, and governance frameworks Ensure compliance withdata governance, security, privacy, and regulatory requirements Define and implementAI guardrails, evaluation frameworks, and risk controls Leadership & Collaboration Partner with executive leadership, product owners, and cross-functional teams to align AI initiatives with business goals Mentor engineering teams and provide architectural guidance across AI/ML initiatives Drive innovation by evaluating and recommendingemerging LLMs, agentic workflows, and GenAI technologies Operations & MLOps Lead adoption ofMLOps and CI/CD pipelinesfor end-to-end AI lifecycle management Oversee model deployment, monitoring, performance tuning, and continuous improvement Required Qualifications Education Bachelor’s or Master’s degree inComputer Science, Artificial Intelligence, or a related field Advanced degree preferred Experience 12+ yearsof experience in AI/ML solution architecture and development 3+ yearsof hands-on experience deliveringGenerative AI solutions at enterprise scale Proven experience architecting and deployingAI Agents and RAG-based systems Technical Skills Strong expertise inAI Agent and RAG frameworks : LangChain, LangGraph, Semantic Kernel, Haystack, or similar Hands-on experience withCopilot Studio, Power Automate, Dataverse, Microsoft Fabric Deep experience withAzure AI ecosystem : Azure OpenAI Azure AI Studio / Azure ML Foundry Azure Functions, AKS, Cosmos DB Proficiency inPython, JavaScript, REST APIs , and modern database systems Experience withMongoDBand vector databases such asFAISS, Pinecone, Weaviate Experience deploying GenAI solutions onAzure, AWS, or GCP Strong skills inprompt engineering, model fine-tuning, evaluation techniques, and AI safety/guardrails Enterprise & DevOps In-depth knowledge ofenterprise security, compliance, data governance, and risk management Hands-on experience withMLOps, CI/CD pipelines, model deployment, and monitoring