AI/ML Architect

• 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.

• 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.

(ref:hirist.tech)