VP, Lead AI Engineer, Group Infrastructure & Cloud, Group Technology

DBS Bank Ltd; Singapore; On-site; SGD 250,000 - 420,000; Full time

Job summary

DBS Bank Ltd in Singapore East seeks a VP, Lead AI Engineer to steer AI strategy for networking infrastructure. You will lead a team to design, build, and deploy agentic AI solutions that automate networks, detect anomalies, and optimize operations.

You will shape end-to-end RAG workflows, mentor engineers, align AI initiatives with business goals, and ensure performance, governance and regulatory compliance for AI in networking.

Qualifications

• Proven track record in developing scalable AI applications with agentic AI.
• Strong Python programming and AI framework experience.
• Expertise with LLM orchestration, RAG, and vector databases.

Responsibilities

• Lead agentic AI solution development for networking and automation.
• Architect end-to-end RAG workflows and scalable AI systems.
• Guide AI team, set best practices, and ensure compliance and governance.
• Drive research and adoption of new AI technologies for networking.

Skills

Agentic AI

Python

LLM orchestration

RAG systems

Prompt engineering

Vector databases

MLOps

Leadership

Cross-platform

Networking

Tools

Vector databases

LLM frameworks

CI/CD pipelines

Job description

## VP, Lead AI Engineer, Group Infrastructure & Cloud, Group TechnologyApply: Infrastructure, Cloud & Information Security: Singapore - East: Full time: Posted Today: WD89268**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.**Location:**DBS Asia Hub**Job:**Technology**Schedule:**Regular**Employee Status:**Full time