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