Agentic AI Architect

Job Title : Agentic AI ArchitectExperience : 5+ YearsLocation : Hyderabad (Work From Office)Employment Type : Contract to HireJob Summary :We are seeking an experienced Agentic AI Architect to design, develop, and deploy enterprise-grade AI solutions.The ideal candidate should have hands-on expertise in Generative AI, Agentic AI, Large Language Models (LLMs), and modern AI frameworks, with a strong focus on building scalable and production-ready AI applications.Mandatory Skills :Generative AI, Agentic AI, Python, LLMs, RAG, Prompt Engineering, LangChain, LlamaIndex, OpenAI, Hugging Face, AWS/Azure/GCP, MLOps/LLMOps, APIs, Microservices.Key Responsibilities :Design and architect scalable enterprise AI solutions using Agentic AI and Generative AI technologies.Develop AI applications leveraging Python, LLMs, Retrieval-Augmented Generation (RAG), and Prompt Engineering.Build and orchestrate AI agents using frameworks such as LangChain, LlamaIndex, OpenAI, Hugging Face, or similar.Integrate AI models with enterprise applications using APIs and microservices.Deploy, monitor, and optimize AI applications using MLOps/LLMOps best practices.Collaborate with cross-functional teams to deliver secure, scalable, and high-performance AI solutions on cloud platforms.Required Skills :5+ years of experience in AI/ML, software engineering, or enterprise AI solution development.Strong hands-on experience with Generative AI, Agentic AI, and Large Language Models (LLMs).Proficiency in Python for developing AI-powered applications and intelligent agents.Experience implementing Retrieval-Augmented Generation (RAG) pipelines and Prompt Engineering techniques.Hands-on expertise with AI frameworks such as LangChain, LlamaIndex, OpenAI, Hugging Face, or equivalent.Experience designing and integrating REST APIs and microservices-based architectures.Good knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).Experience with MLOps/LLMOps tools for model deployment, monitoring, and lifecycle management.Strong understanding of scalable, secure, and production-ready AI solution architecture.Excellent analytical, problem-solving, and communication skills.Preferred Skills :Experience with vector databases and AI orchestration frameworks.Familiarity with Docker, Kubernetes, and CI/CD pipelines.Knowledge of cloud-native architecture and distributed systems.Experience working on enterprise AI transformation projects.