Role Overview We are seeking a highly experiencedPrincipal AI Architect with solid hands-on engineering expertisein modern AI systems, including LLMs, agentic workflows, andenterprise-scale integrations. This role involves working closelywith clients to understand complex business problems andtranslating them into scalable, production-ready AI architectures.The ideal candidate combines deep technical expertise witharchitectural thinking to design, build, and guide the developmentof intelligent systems. Key Responsibilities • Engage with clientsand stakeholders to understand business challenges and definestructured problem statements. • Translate business requirementsinto scalable, technically feasible AI architectures. • Designend-to-end AI systems, including data ingestion, retrieval,reasoning, and orchestration layers. • Architect and implementAgentic RAG (Retrieval-Augmented Generation) systems. • Design anddevelop multi-agent systems using patterns such as planner–executor architectures. • Build and orchestrate AI-driven workflowsfor complex enterprise use cases. • Design and implement statefulagent systems, including memory architectures (short-term andlong-term memory). • Integrate vector databases (ChromaDB, Milvus,PGVector) for semantic search and retrieval. • Develop andintegrate knowledge graphs to enhance contextual reasoning. •Implement LLM guardrails and evaluation frameworks (e.g., RAGAS,DeepEval) to ensure reliability and performance. • Design dataingestion pipelines for structured and unstructured enterprise datasources. • Build modular, maintainable systems using SOLIDprinciples and best software engineering practices. • Develop anddeploy AI services using microservices-based architectures andAPIs.



• Conduct feasibility studies and architectural analysisforintegrating AI with legacy systems (e.g., SAP ecosystems). •Create detailed technical specifications, architecture diagrams,and design documentation. • Implement observability and tracingusing tools like LangSmith for debugging and monitoring AIworkflows. • Mentorjunior engineers and provide technicalleadership across AI initiatives. Required Skills s Expertise •Strong proficiency in Python programming. • Deep experience withLLM systems, prompt engineering, and agentic architectures. •Hands-on expertise in Agentic RAG systems and retrieval pipelines.• Experience with vector databases (ChromaDB, Milvus, PGVector). •Knowledge of LLM evaluation and guardrails frameworks (RAGAS,DeepEval). • Experience designing multi-agent systems and AIworkflows. • Strong understanding of state management and memorysystems in AI agents. • Experience with LangChain ecosystem andobservability tools (LangSmith). • Solid understanding ofmicroservices architecture and API-driven systems. • Experiencedesigning scalable AI architectures for enterprise environments. •Familiarity with knowledge graph design and integration. • Strongfoundation in Machine Learning and Deep Learning concepts. •Experience working with AWS and Docker. • Strong problem-solvingand analyticalthinking abilities. • Excellent communication skillsfor clientinteraction and technical documentation. PreferredQualifications • Experience deploying AI systems in productionenvironments at scale. • Exposure to enterprise-grade AI systemdesign (security, scalability, cost considerations). • Familiaritywith distributed systems and cloud-native architectures. • Priorexperience mentoring orleading engineering teams.

📌 Principle AI Architect (Maharashtra)
🏢 Sperton Global AS
📍 Maharashtra