AI/ML Architect

AI/ML Technical Architect Job Title AI/ML Technical Architect Reporting Structure Portfolio Manager Education Bachelor’s degree in engineering (Computer Science, AI, IT or equivalent) or Master’s in AI, Machine Learning, or Data Science is preferred. Experience/ Qualifications · 10–12 years of hands-on experience in software design and architecture, with at least 5 years in AI/ML solutioning · Hands-on Experience on design, development, deployment and monitoring of AI / ML applications, Python applications. · Experience in designing scalable AI/ML architectures for enterprise applications. · Experience on design and development of machine learning algorithms, deep learning frameworks, and predictive modelling. · Experience on infrastructure resource sizing, optimization for AI applications. · Strong knowledge of AI Engineering concepts. · Strong knowledge of data engineering concepts. · Experience in packaging and deployment of AI/ML applications · Hands on design and setup up experience of MLOps practices, including CI/CD pipelines for ML models. · Experience in data governance, security, and compliance for AI-driven solutions. · Design and implement robust ML pipelines, model deployment strategies, and MLOps frameworks. · Excellent communication and leadership skills to guide AI/ML teams and collaborate with stakeholders. · Deep Knowledge and understanding on Agentic AI, MCP, UTCP concepts. Responsibilities · Lead the end-to-end architecture of AI/ML solutions tailored to central banking use cases. · Collaborate with business stakeholders, data scientists, and engineering teams to translate business requirements into scalable technical solutions. · Design and implement robust ML pipelines, model deployment strategies. · Prepare technical documents such as Blueprints, Architecture Diagrams, Business Continuity strategies, Sizing templates, Runbooks etc. · Lead the estimation, sizing and AI development and infra requirements. · Lead the development and deployment of machine learning models for various use cases. · Establish best practices for MLOps, ensuring efficient model lifecycle management. · Optimize data pipelines for AI-driven applications, ensuring high performance and reliability. · Work with cross-functional teams to integrate AI solutions into existing systems. · Ensure data security, governance, and compliance in AI/ML implementations. · Research and apply cutting-edge AI technologies, including LLMs, to enhance solutions. · Provide technical leadership and mentorship to AI/ML engineers and data scientists. · Continuously improve AI/ML strategies and implement innovative solutions. · Ability to translate business problems into AI-driven solutions and provide strategic recommendations. · Strong analytical and problem-solving skills with experience in query optimization and debugging. Location Navi Mumbai / Mumbai