AI ML Architect

Role Description: 10+ years Lead the design and delivery of AI solutions with a strong emphasis on Generative AI, LLMs, AI agents, and core machine learning. The role blends architecture, blueprint creation, and close collaboration with business and engineering teams Responsibilities Define AI/ML architecture, establish standards, and guide teams on best practice implementation. Design end to end AI solutions including agentic workflows, RAG pipelines, and ML models that seamlessly integrate with enterprise systems. ead technical design, proof of concepts, and reference implementations for AI agents and LLM driven use cases. Demonstrate strong expertise in MLOps and automated ML pipelines. upport presales by contributing to solution architecture, work breakdown structures, task level decomposition, and implementation planning. Required Skills Proven experience in designing and deploying enterprise grade AI solutions. Strong Python expertise with hands on work across LLMs and Generative AI, including RAG, fine tuning, and prompt engineering, along with proficiency in at least one major cloud AI platform. Practical background in core machine learning workflows data wrangling, preprocessing, model evaluation, and model selection using frameworks such as PyTorch or TensorFlow. Solid understanding of MLOps principles, including model lifecycle management, deployment pipelines, and monitoring. Awareness of security and privacy standards, with a clear understanding of their implications for AI/ML systems Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.