VP/AVP, Lead 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.

Lead AI Engineer

We are seeking an experienced and visionary Lead AI Engineer to drive the development and implementation of advanced AI solutions across our organization, with a particular focus on Agentic AI to optimize our networking infrastructure. In this leadership role, you will guide a team in designing, building, and optimizing AI-powered applications that deliver significant business value and innovation. Your expertise in AI frameworks, large language models (LLMs), cutting-edge data retrieval techniques, and agentic systems will be crucial in shaping our AI strategy and execution within the networking domain.

Responsibilities

• Lead Agentic AI Solution Development for Networking: Oversee 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.
• Architect and Innovate Network AI Systems: Lead the architectural design of end-to-end Retrieval-Augmented Generation (RAG) workflows, agentic AI systems, and other AI solutions tailored for networking environments, ensuring scalability, efficiency, and robustness.
• Strategic Collaboration with Networking Teams: Partner with networking stakeholders to define AI initiatives, translate strategic goals into technical requirements for network-focused AI agents, and ensure alignment with overall business objectives.
• Team Leadership and Mentorship: Provide technical leadership, guidance, and mentorship to a team of AI engineers, fostering a culture of innovation and continuous improvement in agentic AI development.
• Performance Optimization and Governance for Network AI: Establish best practices for AI model evaluation, optimization, and monitoring within networking contexts. 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): Drive research and adoption of emerging AI technologies, frameworks, and methodologies, especially in agentic AI and its application in networking, recommending strategic advancements for our AI roadmap.
• Problem Solving & Quality Assurance for Network AI: Lead 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
• Leadership and Mentorship: Prior experience leading technical teams, mentoring engineers, and driving complex AI projects to successful completion.
• 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.
• Strategic Vision for AI in Networking preferred: Capacity to identify strategic opportunities for agentic AI to automate and optimize network processes, proactively detect and resolve network issues, and deliver tangible efficiency gains will be highly preferred.
• 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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