Sr. Assoc/Assoc, AI Engineer, Group Infrastructure & Cloud, Group Technology

Business Function
Group Technology enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group Technology, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.

AI Engineer

We are seeking an experienced AI Engineer to develop and implement of AI solutions across our organization, with a particular focus on Agentic AI to optimize our networking infrastructure.

Responsibilities

• Involve in the design, development, and deployment of complex AI solutions, specifically focusing on agentic AI implementations to enhance network automation, predictive maintenance, anomaly detection, and intelligent network management.
• Partner with networking stakeholders to work on AI initiatives, translate strategic goals into technical requirements for network-focused AI agents, and ensure alignment with overall business objectives.
• Ensure AI solutions adhere to performance standards, risk management guidelines, and regulatory requirements specific to network operations.
• Stay Ahead of AI Trends (Agentic AI & Networking): Research and adoption of emerging AI technologies, frameworks, and methodologies, especially in agentic AI and its application in networking
• Problem Solving & Quality Assurance for Network AI: Troubleshooting efforts for complex AI-related issues in network environments and ensure the delivery of high-quality, well-documented AI solutions.

Requirements

• Extensive AI Engineering Experience with Agentic AI Focus: Proven track record in developing and deploying scalable AI applications, with a strong foundation in Python and demonstrated experience in designing and implementing agentic AI systems.
• Deep AI Framework Expertise: Advanced proficiency with leading AI frameworks, including hands-on experience in LLM orchestration, vector databases, prompt engineering, and frameworks for building AI agents.
• Mastery of RAG Systems: Demonstrated expertise in enhancing LLMs with Retrieval-Augmented Generation (RAG) systems
• DevOps for AI & MLOps: Strong understanding and experience with DevOps practices for AI, including CI/CD pipelines for model deployment, monitoring, and management, especially for agentic systems.
• Cross-platform Development: Proficient in developing solutions across Unix and Windows environments.
• Exceptional Problem-Solving: Superior analytical, problem-solving, and critical thinking skills with a meticulous attention to detail.

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