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Company Overview
A leading financial services organization is seeking an IT AI Solutions Engineer to drive the development, integration, and deployment of AI-powered solutions. The company delivers cutting-edge technology and digital transformation services across corporate and institutional banking, fostering innovation while ensuring compliance, security, and operational excellence.
Position Purpose
The IT AI Solutions Engineer will act as a techno-functional bridge between business teams, IT, and transversal functions (Security, Risk, Architecture, Production), enabling the design, development, and integration of Generative AI and AI-driven solutions. This role focuses on identifying high-impact use cases, delivering scalable and compliant AI applications, and promoting best practices and responsible AI across the organization.
Key Responsibilities
AI Strategy and Roadmap
Define, prioritize, and execute the AI capability roadmap in alignment with strategic goals and the global “One Bank” approach
Identify and assess high-impact AI use cases in collaboration with business teams and stakeholders
Stay updated on emerging AI trends, tools, and frameworks to drive innovation
AI Solution Development and Integration
Design, develop, and integrate Generative AI solutions using platforms such as Azure OpenAI or Mistral
Build AI-driven features and applications that enhance business processes and customer experience
Ensure efficient data exchange between AI models and business applications while adhering to governance and security standards
Cross-Functional Collaboration
Work with business analysts, product owners, and domain experts to translate requirements into technical AI solutions
Partner with Security, Risk, Architecture, and Production teams to ensure scalable, secure, and compliant AI deployments
Collaborate with operations teams to deploy AI models into production and monitor performance
Stakeholder Engagement
Build and maintain strong relationships with internal and external stakeholders, including business users, technology teams, and vendors
Communicate AI concepts, capabilities, and limitations clearly to non-technical stakeholders
Act as a trusted advisor on AI feasibility, ROI, and implementation strategies
Best Practices and Knowledge Sharing
Establish and promote AI development, deployment, and observability best practices
Develop documentation, training materials, and guidelines to foster continuous learning and responsible AI
Mentor and upskill team members and stakeholders on AI tools, methodologies, and ethical considerations
Competencies (Technical / Behavioral)
8–10 years in financial services technology with 5+ years in AI/ML
Technical Expertise: Generative AI, NLP, Deep Learning, ML frameworks, Azure OpenAI/Mistral, Python, APIs, cloud platforms; Big Data tools and MLOps are a plus
Functional Skills: Strong understanding of banking/financial services to translate business needs into AI solutions; experience with Agile/Scrum and cross-functional collaboration
Soft Skills: Clear communication to explain AI concepts to non-technical stakeholders; problem-solving mindset focused on innovation and compliance
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality. 2. No Client Relationship: This company is not a client of SpringCube unless stated. 3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job. 4. No Liability: SpringCube is not liable for inaccuracies.
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