Director - AI Engineering

Optimum Solutions Pte Ltd; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

A leading technology firm in Singapore is seeking a visionary leader in AI engineering. This role involves defining the strategic vision for AI platforms, delivering scalable solutions using advanced Agentic AI protocols, and leading a high-performing team of specialists. The ideal candidate will demonstrate extensive experience in software engineering, strong skills in Java and Python, and a proven track record with large-scale AI frameworks. This challenging position offers an opportunity to influence technology direction and foster innovation in a dynamic environment.

Qualifications

• Extensive experience leading software engineering projects is essential.
• Deep hands-on experience with Java, Python, and AngularJS is a must.
• Strong exposure to Cloud technologies like AWS and Google Cloud is valuable.

Responsibilities

• Define and execute the strategic vision and roadmap for AI engineering.
• Architect and deliver a scalable GenAI platform.
• Build and lead a high-performing team of AI specialists.

Skills

Leadership in software engineering

Expertise in Agentic AI

Java programming

Python programming

CI/CD pipeline management

Stakeholder management

Agile methodologies

Education

B.S./M.S. in Computer Science or related field

Tools

OpenShift

Kubernetes

AngularJS

AWS

Google Cloud

Job description

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.

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.