Agentic Ai Architect

## About the Opportunity We are hiring an experienced AI/ML Architect to support large-scale enterprise AI initiatives for a global technology consulting environment. This role focuses on designing, developing, and deploying advanced AI/ML and Generative AI solutions across enterprise ecosystems. The ideal candidate will bring strong expertise in AI architecture, cloud platforms, machine learning frameworks, NLP/LLMs, and scalable AI automation systems. ## Key Responsibilities - Design, develop, train, and deploy AI/ML models for predictive analytics, classification, and intelligent automation. - Build scalable AI-driven applications using frameworks such as TensorFlow, PyTorch, and Scikit-learn. - Work extensively with Large Language Models (LLMs), including fine-tuning and deployment for conversational AI and text generation use cases. - Develop Agentic AI systems capable of autonomous decision-making and adaptive workflows. - Implement NLP solutions using technologies such as Hugging Face, GPT models, and LangChain. - Build AI automation and chatbot solutions integrated with enterprise collaboration platforms and cloud AI services. - Work with cloud platforms including AWS, Azure, and Google Cloud for AI solution deployment and optimization. - Design and optimize ETL pipelines and large-scale data workflows using Spark and modern data engineering practices. - Manage structured and unstructured data using SQL, PostgreSQL, MySQL, MongoDB, and related technologies. - Create dashboards and business insights using visualization tools such as Tableau and Power BI. - Collaborate with cross-functional stakeholders to deliver scalable enterprise AI solutions. ## Required Skills & Experience - 7+ years of experience in AI/ML development and architecture. - Strong hands-on coding expertise in Python and SQL. - Experience with TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Matplotlib, and Seaborn. - Deep understanding of AI/ML algorithms, system design, and scalable application architecture. - Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. - Strong exposure to NLP, LLMs, Generative AI, and AI automation frameworks. - Experience with big data technologies such as Apache Spark and Snowflake is preferred. - Knowledge of database management, query optimization, and data warehousing concepts. - Strong communication, analytical thinking, and problem-solving capabilities. - Ability to work in fast-paced, collaborative, and innovation-driven environments. ## Education Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.