Role Overview We are seeking an experienced Technical Lead - AI to drive the design development and deployment of AI-driven solutions across multiple product lines The ideal candidate will have a proven track record of supporting AI-embedded products leading Gen AI initiatives including RAG-based solutions and establishing best practices in data pipelines ML model lifecycle LLMs and MLOps As a Technical Lead you will collaborate with cross-functional teams to architect scalable AI systems mentor engineers and ensure the successful integration of AI capabilities into business applications Key Responsibilities AI Solution Design Delivery Lead the end-to-end design and implementation of AI ML and GenAI solutions including Retrieval-Augmented Generation RAG pipelines Partner with product and business stakeholders to define AI strategies aligned with organizational goals Data ML Pipelines Architect and optimize data pipelines to ensure high-quality scalable and reliable input for AI ML models Ensure proper data governance lineage and monitoring practices are in place Model Development Deployment Oversee the training fine-tuning and deployment of LLMs and ML models across cloud and on-prem environments Define strategies for model evaluation monitoring and continuous improvement MLOps Engineering Practices Establish MLOps frameworks and best practices for CI CD of ML models reproducibility monitoring and governance Drive automation of ML workflows to enable scalable and reliable AI product delivery Team Leadership Collaboration Lead mentor and guide a team of AI ML engineers and data scientists Foster collaboration between product data engineering cloud and DevOps teams Innovation Thought Leadership Stay abreast of the latest developments in AI LLMs GenAI and MLOps and evaluate their application to business use cases Contribute to AI ML architectural decisions technology selection and proof-of-concept projects Required Skills Experience 10-14 years of overall IT experience with at least 5 years in AI ML leadership roles Proven track record in supporting and delivering AI-embedded products at scale Hands-on experience with Generative AI projects especially RAG pipelines embeddings and vector databases Strong expertise in Machine Learning Deep Learning and LLMs training fine-tuning deployment Proficiency in data pipelines and data engineering frameworks e g Apache Spark Airflow Kafka DBT Deep understanding of MLOps tools and practices MLflow Kubeflow SageMaker Vertex AI Azure ML etc Cloud-native AI deployment experience on AWS Azure or GCP Strong programming skills in Python preferred with experience in ML AI libraries such as TensorFlow PyTorch Hugging Face LangChain etc Familiarity with containerization and orchestration tools Docker Kubernetes Strong problem-solving architecture and technical leadership skills Excellent communication and collaboration abilities to engage with technical and non-technical stakeholders Positive to Have Experience with multi-modal AI applications text vision speech Knowledge of data privacy compliance and responsible AI practices Prior experience in scaling AI Centers of Excellence CoEs or leading AI competency development Education Bachelor s Master s degree in Computer Science AI ML Data Science or related discipline Advanced certifications in AI ML Cloud or MLOps are a plus Job Type Full-time Pay 100 000 00 - 140 000 00 per month