Director of AI Engineering

OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

A leading technology firm in Singapore is seeking a visionary leader to drive the architecture and development of next-generation AI platforms. The successful candidate will define the technical roadmap, lead the engineering of scalable LLM agent frameworks, and empower business innovation. Candidates should have extensive experience in AI, particularly in financial services, with expertise in Java, Python, and cloud technologies. Strong leadership and communication skills are essential for this role.

Qualifications

• Extensive experience leading software engineering projects for financial institutions.
• Demonstrated expertise in Agentic AI and orchestration protocols like Model Context Protocol.
• Strong communication skills and ability to manage large IT engineering teams.

Responsibilities

• Define and execute the strategic vision and roadmap for AI engineering.
• Architect and deliver a scalable GenAI platform with LLM Agent Framework.
• Drive continuous improvement in performance, scalability, and resilience of AI platforms.

Skills

Agentic AI

Java

Python

AngularJS

Cloud technologies

CI/CD pipelines

Agile collaboration

Education

B.S./M.S. in Computer Science, Software Engineering, or related field

Tools

OpenShift

Kubernetes

AWS

Google Cloud

Job description

Role Overview

We are seeking a visionary leader to drive the architecture, development, and delivery of our next-generation AI platforms. This role will define the long‑term technical roadmap, lead the engineering of scalable LLM agent frameworks, and ensure our AI capabilities empower business innovation across the enterprise and our customers.

Key Responsibilities

• Define and execute the strategic vision and roadmap for AI engineering within the AI Lab.
• Architect and deliver a scalable, high-performance GenAI platform with a robust LLM Agent Framework.
• Stay at the forefront of industry advancements in GenAI and agentic AI, adapting frameworks to leverage emerging technologies.
• Partner with business and technology teams to translate requirements into efficient agent solutions.
• Build and lead a high-performing team of AI specialists and full-stack engineers, fostering innovation and excellence.
• Establish engineering best practices, including CI/CD workflows, automated testing, observability, and reliability standards.
• Ensure compliance with architecture principles, technical standards, and security requirements.
• Drive continuous improvement in performance, scalability, and resilience of AI platforms.

Qualifications and Requirements

• B.S./M.S. in Computer Science, Software Engineering, or related field.
• Extensive experience and proven success in leading software engineering projects for financial institutions and clients
• Demonstrated expertise in Agentic AI, including planning, memory, and orchestration protocols such as Model Context Protocol (MCP)
• Deep hands‑on experience in Java, Python and front‑end frameworks like AngularJS, integrated with cloud‑native stacks (OpenShift/Kubernetes)
• Strong exposure to Cloud and related technologies (AWS, Google Cloud)
• Proven expertise in designing and delivering large‑scale LLM agent frameworks.
• Expert knowledge of CI/CD pipelines (e.g., LightSpeed), automated testing, and observability frameworks to measure team efficiency and software health.
• Deep understanding of agent paradigms (planning, memory, tool use, orchestration, evaluation).
• Hands‑on experience with both high‑code and low‑code agent frameworks.
• Strong background in AI applications within financial services, including RPA + GenAI.
• Demonstrated success in managing large IT engineering teams.
• Excellent stakeholder management and communication skills, with the ability to influence senior leaders.
• Experience working in Agile environments with strong collaboration skills.