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Architect – AI & Data Science
Job in
Singapore, Singapore
Listed on 2026-10-15
Listing for:
Softvil Technologies
Full Time
position Listed on 2026-10-15
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Engineering, Information Security & Data Protection, Data Science Manager
Job Description & How to Apply Below
Architect - AI & Data Science
Are you ready to architect the future of AI in banking? We are seeking a visionary Architect - AI & Data Science to lead the design and implementation of scalable, secure, and impactful AI solutions that power critical innovations in the financial services sector.
This is a strategic role, ideal for someone who combines deep technical expertise with strong leadership and enterprise architecture experience.
Key Responsibilities- Design and implement end-to-end AI & DS solutions, ensuring scalability, performance, and compliance.
- Architect and oversee AI/ML platforms integrating data pipelines, model development, deployment,monitoring, and lifecycle management.
- Translate complex business needs into AI/ML-driven solutions and technical frameworks.
- Drive MLOps implementation including CI/CD pipelines for models, versioning, governance, and monitoring.
- Work closely with data engineers, ML teams, and key stakeholders to align AI initiatives with broader enterprise goals.
- Ensure adherence to standards around data privacy, model interpretability, fairness, and responsible AI practices.
- Bachelor's degree in Computer Science,Information Technology, or a related field.
- 15+ years of industry experience, including at least 8 years in hands-on AI/DS roles.
- Prior experience in roles such as AI & DS Architect, Senior Tech Lead - AI & DS, or equivalent leadership positions.
- Experience in banking or financial services is a strong asset.
- Background in IT modernization, legacy system integration, and large-scale enterprise transformation.
- Strong proficiency in Python, Scala, Java, with hands-on experience in Tensor Flow, PyTorch, Scikit-learn, MLflow, Kubeflow, Sage Maker, Airflow, AWS, Azure, GCP, Spark, Kafka, SQL, Snowflake,Docker, Kubernetes, Terraform, and governance tools such as model cards, XAI tools, and diƯerential privacy.
- High attention to detail and problem-solving mindset
- Adaptable, curious, and eager to explore emerging AI technologies
- Comfortable working both independently and within collaborative, agile teams
- Alignment with Com Bank's IT culture and strategic vision
- Proven experience in leading high-impact technical teams
- Strong project management capabilities including task estimation and stakeholder coordination
- Excellent communication skills to serve as a liaison between business and technical teams
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