AI Transformation Lead

Overview: - We are looking for a Lead AI Lead Engineer who can design, build, and operationalize AI‑driven automation workflows, while also mentoring and training other engineers. This role combines hands‑on delivery with technical leadership across the full SDLC, from design to cloud deployment. Required Skills & Qualifications Technical Skills • Hands-on experience with: • AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) • Generative AI / LLMs (OpenAI, Azure OpenAI, etc.) • Expertise in application architecture and system design • Experience in: • Cloud platforms (Azure/AWS/GCP) • REST APIs, microservices, and distributed systems • Knowledge of data engineering, APIs, and system integration AI-Specific Skills • Understanding of AI pipelines, model deployment, and monitoring • Ability to evaluate and apply AI tools in application development lifecycle Technical Leadership • Collaborate with product, data, and business teams to translate requirements into solutions • Drive adoption of AI-enabled development tools and frameworks • Provide training to the team for using AI Capabilities Soft Skills • Strong problem-solving and analytical thinking • Excellent communication and stakeholder management • Leadership experience in guiding cross-functional teams Preferred Qualifications • Experience implementing AI in enterprise applications • Exposure to DevOps / MLOps practices • Knowledge of Responsible AI and governance principles • Prior experience in a technical lead or architect role Education: • Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience.