Design, build, and deploy AI-driven automation systems that integrate large-scale data processing, machine learning models, and agentic AI architectures. This role focuses on hands‑on implementation of LLM‑based agents, RAG pipelines, data workflows, and MLOps practices, integrating AI capabilities into real business systems using cloud‑native technologies. This role also requires strong client‑facing communication skills and experience working directly with clients to understand business needs, present solutions, and build trusted relationships. Responsibilities Design and implement AI-driven automation workflows Build and deploy LLM-based agents and agentic systems Implement Retrieval‑Augmented Generation (RAG) architectures Develop and maintain data pipelines for structured and unstructured data Build, train, and evaluate machine learning models Integrate AI solutions with business systems and APIs Implement MLOps practices for model deployment and monitoring Work with Big Data tools and cloud data platforms Deploy AI systems using AWS services Collaborate with engineering, product, operations, and client teams Participate in client meetings, workshops, and solution discussions Communicate technical concepts clearly to business and client stakeholders Requirements 3+ years of professional experience in AI, ML, or data‑driven systems Hands‑on experience with LLM frameworks (LangChain, LlamaIndex, or similar) Experience building RAG pipelines or agent‑based AI systems Experience with Big Data tools or data processing frameworks Cloud experience (AWS preferred) Experience with automation platforms or workflow orchestration tools Experience working directly with clients or in customer‑facing environments Strong communication and presentation skills, with the ability to engage confidently with clients and stakeholders Work with cutting‑edge Generative AI and automation technologies Certification and continuous learning support International projects and exposure #J-18808-Ljbffr