Title:  AI Solutions Architect

ST Engineering is a global technology, defence and engineering group with offices across Asia, Europe, the Middle East and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives. Our dedication to excellence and our strong track record have earned us a distinctive reputation for quality and trust spanning across the aerospace, smart city, defence and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Join our Cyber Team

We are an industry leader in cybersecurity with over two decades of experience, we deliver a holistic suite of trusted cybersecurity solutions to empower cyber resilience for government and ministries, critical infrastructures, and commercial enterprises. Backed by our indigenous capabilities and deep domain expertise, we offer robust cyber-secure products and services in cryptography, cybersecurity engineering, digital authentication, SCADA protection, audit and compliance.  We specialise in the design and build of security operations centres for cybersecurity professionals and provide managed security services to strengthen the cybersecurity posture of our government and enterprise customers.

We work with organizations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.

We are seeking a visionary AI Solutions Architect with a strong balance of technical expertise and business acumen, capable of translating AI-driven innovations into scalable, efficient, and impactful enterprise solutions. 

Responsibilities: 

AI Architecture & System Design: 

• Design and architect AI components and services within a Service-Oriented Architecture (SOA) framework. 

• Define system components, interfaces, and APIs to enable seamless AI integration into scalable software platforms. 

• Ensure modularity, reusability, and maintainability of AI services within enterprise architectures. 

Business Analysis & AI-Driven Process Design: 

• Work closely with business stakeholders to understand requirements and translate them into AI-driven workflows and processes. 

• Conduct feasibility analysis of AI solutions and evaluate their impact on business objectives. 

• Define key performance indicators (KPIs) and success metrics for AI-driven processes. 

Data Science & AI Integration: 

• Architect and manage data science layers, including feature engineering, model management, and data pipelines. 

• Oversee AI model lifecycle management, from development to deployment and monitoring. 

• Integrate machine learning models and AI components into existing product stacks, frameworks, and applications. 

Scalability & Performance Optimization: 

• Design AI architectures that support high-performance, distributed, and real-time processing. 

• Ensure efficient data flow and processing within AI-driven applications. 

• Optimize computational resources and AI infrastructure to balance cost, scalability, and efficiency. 

Collaboration & Technical Leadership: 

• Collaborate with software engineers, data engineers, and DevOps teams to align AI solutions with broader system architectures. 

• Establish best practices for AI model deployment, CI/CD pipelines, and AI-driven application monitoring. 

• Provide mentorship and technical leadership in AI architecture and solution design. 

Requirements: 

Experience: 

• 8+ years of experience in AI architecture, software engineering, or data science. 

• Proven track record in designing and implementing AI solutions within SOA architectures. 

• Hands-on experience integrating AI models into enterprise software products. 

Skills: 

• Expertise in AI/ML frameworks such as PyTorch, Scikit-learn. 

• Strong proficiency in Python and familiarity with AI model deployment frameworks. 

• Deep understanding of data science layers, feature stores, model registries, and data lakes. 

• Experience in designing APIs and microservices for AI-driven applications. 

• Knowledge of MLOps, model versioning, and monitoring best practices. 

• Strong understanding of data pipelines, streaming architectures (Kafka, Flink), and real-time AI processing. 

Business & Strategic Thinking: 

• Ability to bridge the gap between business objectives and AI capabilities. 

• Experience in conducting AI feasibility studies and risk assessments. 

• Strong problem-solving skills with a business-driven mindset. 

Preferred Qualifications: 

• Certifications in AI, Data Science, ML, or DL 

Work Location: Jurong East

Find out more: https://www.stengg.com/cybersecurity

ST Engineering believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.