VP, Lead AI Engineer, Group Infrastructure & Cloud, Group Technology
At a glance
VP-level AI Engineering role at Dbs. Singapore - East · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Lead AI agents that automate network operations, predict maintenance needs, detect anomalies and support network management
- Design complete RAG workflows and agent-based systems for network settings, with attention to scale, speed and reliability
- Turn networking teams’ goals into technical plans for AI agents and keep that work aligned with business objectives
- Guide and mentor AI engineers, while setting standards for model evaluation, monitoring, performance and risk controls
- Research emerging AI methods, resolve difficult network AI issues and ensure solutions are documented and meet regulatory requirements
What you bring
- A strong record building and deploying scalable AI applications, with Python skills and hands-on agentic AI design experience
- Advanced experience with LLM orchestration, vector databases, prompt design and frameworks for developing AI agents
- Demonstrated expertise in improving language models with retrieval-augmented generation systems
- Previous technical team leadership, engineer mentoring and delivery of complex AI projects
- Experience with AI DevOps, including model delivery pipelines, monitoring and management for agentic systems
Who this fits
This VP-level role suits a hands-on AI engineering leader who can guide a team and shape agentic AI work for networking. The role is based at DBS Asia Hub and calls for development across Unix and Windows environments.
From the employer
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 HubJob:
TechnologySchedule:
RegularEmployee Status:
Full time