Role Overview As an AI Architect you will be at the forefront of designing developing and implementing cuttingedge Artificial Intelligence and Machine Learning solutions that drive significant business impact You will lead the architectural vision for our AI initiatives translating complex business challenges into robust scalable and highperformance technical designs This role involves close collaboration with crossfunctional teams including data scientists ML engineers product managers and business stakeholders ensuring seamless integration and deployment of AI models into production environments Your expertise will directly influence our product roadmap enhance user experiences and unlock new capabilities positioning our organization as a leader in AI innovation You will be instrumental in shaping the future of our intelligent systems delivering tangible value to our customers and the business Key Responsibilities Lead the architectural design and implementation of endtoend AI ML systems ensuring solutions are scalable reliable and meet stringent performance requirements for various business applications Provide expert technical leadership and mentorship to engineering teams fostering a culture of innovation best practices and continuous learning in AI ML development Define and evolve the technical roadmap for AI initiatives proactively evaluating emerging technologies such as Generative AI and advanced Prompt Engineering techniques to maintain a competitive edge Oversee the development and optimization of robust data pipelines leveraging technologies like Spark to ensure efficient data ingestion processing and feature engineering for ML model training and deployment Collaborate strategically with product business and data science teams to translate intricate business requirements into precise technical specifications and deliver impactful datadriven solutions Establish and enforce architectural standards MLOps best practices and governance frameworks to ensure the integrity security and responsible deployment of AI models across the organization Required Skillset Demonstrated deep expertise in Artificial Intelligence Machine Learning and Deep Learning principles algorithms and their practical application in enterprise environments Proven track record of designing and implementing largescale productiongrade AI ML systems with a focus on scalability performance and maintainability Strong proficiency in Generative AI models including foundational models and extensive experience with Prompt Engineering techniques for optimizing model outputs Extensive experience with big data technologies particularly Apache Spark for distributed data processing ETL and machine learning workflows Solid understanding of Data Science methodologies statistical modeling experimental design and the ability to interpret complex analytical results Expertise in building and optimizing robust Data Pipelines ensuring data quality lineage and availability for various AI ML applications Proficiency in cloud platforms AWS Azure GCP and handson experience with MLOps practices for continuous integration deployment and monitoring of AI models Exceptional leadership and mentorship capabilities with a proven ability to guide and inspire highperforming technical teams Excellent communication skills both written and verbal to articulate complex technical concepts and architectural decisions to diverse audiences including senior leadership and nontechnical stakeholders Robust problemsolving acumen strategic thinking and the ability to navigate ambiguous challenges in a fastpaced dynamic environment Masters or Ph D in Computer Science Artificial Intelligence Machine Learning Data Science or a related quantitative field from a premier institution At least 1214 years of progressive experience in AI ML architecture engineering leadership and solution delivery roles

📌 AI Architect Data Science (India)
🏢 MLOPS Solutions
📍 India