Senior Manager / Manager, Digital Transformation & Generative AI Innovation at Public Service Division

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

22 Jun, 26

Salary

0.0

Posted On

24 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Application Development, Technical Architecture, LLMs, Prompt Engineering, Vector Databases, RAG Architectures, Software Architecture, Python, AI/ML Platforms, Cloud Platforms, API Design, Microservices, AI Governance, Agile Methodologies, MLOps

Industry

IT Services and IT Consulting

Description

[What the role is] The Infocomm Media Development Authority (IMDA) spearheads Singapore’s digital transformation by building a vibrant digital economy and an inclusive digital society. As an Architect of Singapore’s Digital Future, IMDA drives innovative initiatives that empower both public and private sectors to harness emerging technologies. The Technical Manager (Generative AI) will lead the technical development and integration of applications with a focus on generative AI capabilities. This role combines traditional application development oversight with cutting-edge AI implementation, ensuring robust, scalable, and innovative solutions for enterprise platforms. [What you will be working on] Application Development & AI Integration: Lead the technical architecture and development of applications, incorporating generative AI features where beneficial Design and implement robust AI pipelines for text, image, and code generation capabilities Develop and maintain prompt engineering frameworks and best practices Oversee the integration of multiple AI models and APIs while ensuring optimal performance and cost efficiency Establish technical standards for responsible AI development, including bias detection and mitigation strategies Technical Leadership: Guide development teams in building and maintaining applications with AI capabilities Evaluate and recommend appropriate AI models, frameworks, and tools Implement AI governance frameworks and ethical guidelines Ensure applications meet security requirements, performance standards, and compliance guidelines Lead AI model evaluation, fine-tuning, and deployment processes Project Management: Manage the full application development lifecycle, from requirements gathering to deployment and maintenance Coordinate with cross-functional teams to deliver projects on schedule and within budget Implement agile methodologies and MLOps practices to improve development efficiency Innovation & Technical Strategy: Identify opportunities to enhance applications through generative AI features Develop technical roadmaps for application modernisation and AI integration Research and evaluate emerging AI technologies and their potential applications Design strategies for AI model versioning, monitoring, and maintenance Stakeholder Management: Collaborate with business units to understand requirements and translate them into technical specifications Communicate technical concepts and project progress to various stakeholders Work with vendors and partners to ensure successful implementation of solutions Requirements: Educational Background: Degree in Computer Science, Software Engineering, Artificial Intelligence, or related technical field Professional certifications in AI/ML technologies are advantageous Technical Expertise: 5+ years of experience in application development and technical team management Minimum 2 years of hands-on experience with generative AI technologies Demonstrated expertise in: Large Language Models (LLMs) and their applications Prompt engineering and chain-of-thought implementations Vector databases and embedding technologies AI model fine-tuning and deployment RAG (Retrieval-Augmented Generation) architectures Strong background in software architecture and system design Proficiency in Python and modern development frameworks Experience with AI/ML platforms (e.g., OpenAI, Anthropic, Hugging Face) Knowledge of cloud platforms (AWS, GCP, Azure) and containerisation technologies Understanding of API design, microservices architecture, and system integration Leadership & Professional Skills: Proven track record of leading technical teams and managing complex AI projects Strong problem-solving abilities and analytical thinking Experience in AI governance and ethical considerations Excellent communication skills and ability to work with diverse stakeholders Experience in agile methodologies and MLOps practices Understanding of government digital services is preferred Additional AI Experience: Experience with multimodal AI systems (text, image, audio) Knowledge of AI safety and security best practices Familiarity with AI model evaluation metrics and performance optimization Understanding of AI infrastructure scaling and cost management Experience with AI-specific testing and quality assurance methodologies [What we are looking for] Only shortlisted applicants will be notified. Position will commensurate with experience. #LI-JT2 http://jobs.careers.gov.sg The Singapore Public Service plays a key role in the economic growth, progress and stability of Singapore by formulating and implementing government policies, as well as providing key public services. Whether you are a fresh graduate joining the workforce or an experienced professional, the Singapore Public Service offers a great variety of job opportunities for you. The work in the Public Service can be broadly categorised into the following sectors: Economic, Social, Security & External Relations, and Administration & Corporate Development. Be part of the team that shapes the future of Singapore. Log on and take your first step towards a career that matters! Need help? Please click here for assistance. Our team will contact you shortly!

Responsibilities

This role involves leading the technical architecture and development of applications, focusing heavily on integrating generative AI capabilities such as text, image, and code generation. The manager will also guide development teams, establish technical standards for responsible AI, and oversee the full application development lifecycle.