ABOUT THE PROJECT

Lead, scale, and continuously reinvent an AI‑native engineering organisation by empowering a high‑leverage team of AI architects and engineers and automating repeatable engineering workflows with autonomous AI agents, that turns breakthrough ideas into resilient, production‑grade agentic AI systems across both client work and the company’s own product portfolio for global financial‑services institutions (banking, insurance, investment management) - spanning use‑cases customer support agents, internal productivity assistants, documents workflow automation and others - compounding revenue, IP leverage, and long‑term strategic advantage.

SKILLS

• AI‑native software engineering & agentic architectures
• MLOps automation and observability
• Large‑scale AWS (SageMaker, Bedrock, EKS) optimisation
• Regulatory & security compliance for FSI
• Organisational design and talent development
• KPI‑driven process improvement
• Strategic thinking & systems‑level problem‑solving

KNOWLEDGE

• Core‑banking, insurance, and asset‑management data flows & systems
• LLM orchestration patterns and prompt engineering best practices
• Foundations of traditional machine learning and ML models training from scratch
• Financial‑services regulatory frameworks
• AWS Marketplace packaging and Advanced‑Tier Partner requirements
• Code‑quality measurement (e.g., Codacy) and secure SDLC principles

EXPERIENCE

• Led AI/ML engineering teams 15 50 + in FSI domain while maintaining velocity
• Delivered production agentic AI systems with 90 % accuracy & < 5 s latency
• Deployed autonomous AI agents that automated 40 % of engineering/business processes
• Established, maintained and improved engineering standards and quality measures

Please refer the Job description for details