Jobs → Engineering → Agentic AI Engineer

About the Role We are seeking an experienced Agentic AI Engineer to join Wipro's team in Santa Clara, CA. This role involves designing and developing enterprise-grade Agentic AI systems for Supply Chain use cases, with a focus on multi-agent architectures and RAG pipelines. Key Responsibilities • Design, develop, and own enterprise-grade Agentic AI systems for Supply Chain use cases • Build multi-agent architectures, orchestration frameworks, and RAG pipelines • Develop and implement production-ready Agentic AI solutions hands-on • Translate business requirements into user stories, technical designs, and implementation plans • Drive end-to-end integration testing, UAT support, issue remediation, and hypercare • Collaborate with Enterprise IT, engineering, product, and research teams • Leverage LLMs, agentic frameworks, NVIDIA NeMo, and AIQ technologies • Integrate enterprise IT and Operations data sources with strong content security • Define deployment architectures across on-premises, cloud, hybrid, and containerized environments • Establish agent autonomy boundaries, human-in-the-loop workflows, and escalation strategies • Design agent observability and evaluation frameworks covering latency, accuracy, cost, failures, and hallucinations • Lead technical design reviews and maintain technical documentation and development standards Requirements • 12+ years of experience in Software Architecture, Systems Design, or Enterprise Platform Engineering • Strong hands-on Python development for production-grade AI systems • Experience with Generative AI, Agentic AI, and AI/ML systems • Knowledge of LLMs, RAG architectures, and agent orchestration frameworks • Familiarity with LangChain, ReAct patterns, and AutoGPT-style workflows • Understanding of multi-agent architecture, communication, and coordination • Experience with vector databases, embeddings, similarity search, and retrieval optimization • Familiarity with Planner/Executor/Critic and Supervisor Agent patterns • Experience with enterprise integrations with ERP, CRM, and ITSM platforms • Knowledge of SQL, JSON, APIs, backend services, and data connectors • Experience with AI observability, evaluation, monitoring, and performance optimization