Job Title : AI/ML Technical Architect

Education :

- Bachelors degree in engineering (Computer Science, AI, IT or equivalent) or Masters in AI, Machine Learning, or Data Science is preferred.

Experience/ Qualifications :

- 9- 10 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 and 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 and 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 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, and 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 and model deployment strategies.

- Prepare technical documents such as Blueprints, Architecture Diagrams, Business Continuity strategies, Sizing templates, and Runbooks.

- 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