Senior Vice President, AI Engineer (APAC AI Hub)

3 days ago

Singapore, SingaporeStaff+

Responsibilities

Provide hands-on technical leadership across multiple AI engineering initiatives, including solution design, implementation, testing, deployment, and production readiness.
Design and build complex AI applications and reusable capabilities using LLMs, retrieval-augmented generation, agentic systems, model integrations, and related technologies.
Develop and integrate backend services, APIs, context pipelines, platform components, and developer tools for the enterprise AI platform and AI Hub products.
Translate product and business requirements into technical designs, implementation plans, and scalable software architectures.
Establish engineering practices for code quality, automated testing, model evaluation, CI/CD, security, privacy, observability, resilience, and technical-debt management.
Evaluate model and technology options, conduct technical studies and prototypes, and recommend architecture and product decisions.
Partner with Product, Architecture, AI Governance, Risk, Compliance, and regional engineering teams to meet enterprise and regional requirements.
Resolve complex engineering and production issues and improve the reliability and performance of deployed AI services.
Mentor engineers, lead technical reviews, and promote reusable patterns and consistent engineering standards across teams.

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent professional experience.
Advanced experience, preferably 10+ years, in applied AI/ML, software engineering, platform engineering, or related disciplines.
Strong experience leading technical delivery of complex, production-grade AI applications, services, or enterprise platform capabilities.
Deep knowledge of LLM application development, retrieval-augmented generation, agents, model evaluation, prompt engineering, session context management, fine-tuning approaches, and MLOps/LLMOps.
Extensive experience developing backend services, APIs, integrations, distributed systems, cloud-based applications, and automated deployment pipelines.
Strong understanding of full-lifecycle software development, including requirements analysis, architecture, coding, testing, deployment, production support, and continuous improvement.
Ability to communicate complex technical concepts clearly, guide technical decisions, and influence engineering, product, governance, risk, and business stakeholders.
Experience collaborating across APAC and global teams in US or India time zones.
Experience in banking, financial services, or another regulated industry is preferred.

10,000+ employees