AI Architect

Greetings from Tesslogs,

We are looking for an experienced AI Architect with strong Core Banking experience to design, implement, and scale AI/ML solutions for the BFSI sector. The role involves working closely with banking stakeholders to deliver AI-driven innovations across fraud detection, risk modeling, customer experience, and digital transformation.

Key Responsibilities:

• Design and implement AI/ML architecture and solutions tailored for the core banking domain.

• Work with stakeholders to identify use cases (fraud detection, credit scoring, risk modeling, customer experience automation).

• Architect scalable AI solutions integrating with core banking platforms (Finacle, Temenos, Flexcube, T24, etc.).

• Ensure compliance with regulatory and security standards in BFSI (Basel, GDPR, RBI).

• Collaborate with data scientists, engineers, and business teams to build AI/ML-driven platforms.

• Oversee end-to-end AI adoption: data pipelines, model lifecycle, deployment, and monitoring.

• Evaluate AI frameworks, cloud services (AWS, Azure, GCP), and MLOps tools for production readiness.

Primary Skills:

• Strong expertise in AI/ML architecture, Generative AI, NLP, Computer Vision, Predictive Analytics.

• Proficiency in Python, R, TensorFlow, PyTorch, Scikit-learn.

• Knowledge of data engineering: SQL, Spark, Kafka, Hadoop.

• Experience with MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).

• Hands-on experience in core banking solutions and banking processes.

• Strong understanding of enterprise architecture frameworks (TOGAF, Zachman)

Best Regards,

Gladys

#CoreBanking #BankingTechnology #BFSI #DigitalBanking #FinTech #FinancialServices #BankingSolutions #RiskManagement #FraudDetection #Payments