Senior Consultant Specialist

We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist Business: AI Platforms.

Principal responsibilities:

• Build core components for Document Intelligence to enable enterprise AI use cases, delivering standardised, robust, and scalable solutions that meet growing business demand.
• Develop and maintain scalable APIs and integration services to support AI products, workflows, and platform capabilities end-to-end.
• Contribute to architecture and technical governance by conducting design/architecture reviews and enforcing engineering standards, coding practices, documentation, and quality assurance.
• Deliver hands-on engineering including API development, unit/integration testing, defect resolution, and partnering with testers on test cases and test data preparation.
• Able to communicate with stakeholders across systems (upstream/downstream) to define requirements and design effective, well-governed API interfaces.
• Strengthen DevOps and engineering processes to improve delivery and support efficiency while ensuring adherence to established standards.
• Deploy and scale on cloud platforms by leveraging GCP and Kubernetes to manage applications effectively in enterprise environments.
• Ensure reliability, performance, and compliance through monitoring, load/performance testing, optimisation, and incident response to maintain low latency, high throughput, and stable operations (including onsite/offsite production support).

Requirements:

• Act as a senior individual contributor with strong solution design and hands-on coding expertise, demonstrating excellent technical problem-solving as well as strong analytical, communication, and interpersonal skills.
• Hold a university degree in Computer Science or a related discipline.
• Bring 7+ years of IT experience (preferably in enterprise application or platform development) with 4+ years’ hands-on proficiency in Java and Python for backend and platform engineering.
• Show exposure to all stages of the Software Development Life Cycle (SDLC) and a solid working knowledge of Agile methodology.
• Knowledge of Docker, Kubernetes, micro-frontend architecture, and LLM new solutions a strong advantage.
• Experienced in leveraging coding assistants (e.g., AI pair-programming tools) to accelerate software development, enhance code quality, and support engineering best practices.