Location : Srilanka

Job Title : Architect AI & Data Science

Duration : 24 Months Contract

Job Summary :

We are looking for a seasoned AI & Data Science Architect to lead and support the Banks strategic initiatives in AI and Data Science. This role requires a visionary technologist with hands-on experience in designing scalable AI/ML systems, translating complex business challenges into AI-driven solutions, and driving MLOps best practices. The ideal candidate will collaborate across business and technical teams to ensure robust data pipelines, model lifecycle governance, infrastructure scalability, and responsible AI adoption.

Key Responsibilities :

- Architect end-to-end AI and Data Science solutions that ensure scalability, performance, and security.

- Design robust AI/ML infrastructures, incorporating data pipelines, model training, deployment, and monitoring frameworks.

- Translate business needs into AI strategies and corresponding technical solutions.

- Lead the model lifecycle including design, development, deployment, and monitoring with full MLOps integration.

- Champion MLOps practices such as CI/CD for models, reproducibility, versioning, and model governance.

- Collaborate with cross-functional teams - including data engineers, ML practitioners, and domain experts - to align AI initiatives with enterprise objectives.

- Ensure all AI solutions comply with regulatory, ethical, and security standards including explainability and data privacy.

Qualifications :

- Bachelors degree in computer science, Information Technology, or a related field.

- Minimum 15 years of industry experience, with at least 8 years in AI & Data Science roles.

- Proven experience in roles such as AI & DS Architect, Senior Tech Lead - AI/ML, or equivalent leadership positions.

- Exposure to the financial services sector is a distinct advantage.

- Experience in leading enterprise-scale projects, including modernization of legacy systems and integration into complex IT environments.

Technical Competencies :

- Programming : Python, Scala, Java

- AI/ML Frameworks : TensorFlow, PyTorch, Scikit-learn

- MLOps Tools : MLflow, Kubeflow, SageMaker, Airflow

- Cloud & Infrastructure : AWS, GCP, Azure, internal DC platforms

- Data Engineering : Apache Spark, Kafka, SQL, BigQuery, Snowflake

- DevOps & Infra Automation : Docker, Kubernetes, Terraform

- Governance & Ethics : Model cards, Explainable AI (XAI), differential privacy

Soft Skills & Organizational Fit :

- Strong cultural alignment with ComBanks IT and organizational values.

- Demonstrated curiosity and adaptability to learn emerging technologies and domains.

- High attention to detail with strong analytical and problem-solving skills.

- Effective in both independent and collaborative work environments.

Leadership & Project Management :

- Team Leadership : Ability to mentor and lead multidisciplinary AI/DS teams.

- Project Execution : Skilled in estimating, planning, and executing technical projects in enterprise environments.

- Stakeholder Engagement : Strong communication skills to translate business objectives into technical deliverables and act as a liaison between technical teams and business stakeholders.