AI Architecture Leader

22 hours ago

Pune, Maharashtra, India beBeeArtificial Full time US$ 1,50,000 - US$ 2,00,000

Job Title: AI Architect Leader

About the Role

This position involves providing technical leadership to data science and engineering teams. The ideal candidate should have a strong background in machine learning, data engineering, and cloud computing.

The role requires expertise in designing and implementing scalable AI systems, integrating AI models into core platforms, and ensuring governance and compliance with financial regulations.

Key Responsibilities
  • AI-First Leadership: Drive DB Techs AI vision, re-architect systems into AI-native services, integrate tools like Cursor/Relevance AI, and mentor teams in prompt engineering, Vibe Coding, and autonomous testing.
  • Architect Scalable AI Systems: Design enterprise-scale AI/ML platforms that support real-time analytics, model deployment, and continuous learning in financial products and services.
  • Lead Solution Design: Collaborate with data scientists, engineers, and business stakeholders to build and integrate AI models into core platforms (e.g., risk engines, transaction monitoring, robo-advisors).
  • Ensure Governance & Compliance: Implement AI systems that meet financial regulations (e.g., GDPR, PCI-DSS, FFIEC, Basel III) and uphold fairness, explainability, and accountability.
  • Drive MLOps Strategy: Establish and maintain robust pipelines for data ingestion, feature engineering, model training, testing, deployment, and monitoring.
Requirements
  • Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field; PhD is a plus.
  • 10+ years of experience in AI/ML, including 35 years in architectural roles within FinTech or other highly regulated industries.
  • Proven track record of building and deploying AI solutions in areas such as fraud detection, credit risk modeling, or portfolio optimization.
Technical Skills and Tools
  • MLOps & Deployment: MLflow, Kubeflow, Seldon Core, KServe, Weights & Biases
  • FinTech-Specific Applications: Credit scoring models, Fraud detection algorithms
  • Cloud & Data Platforms: AWS SageMaker, Azure ML, Google Vertex AI

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