AI Engineer - Automated Channels Transformation
Core
Architecting and implementing AI/ML systems to address diverse business challenges in banking, ranging from on-demand analytics to fully integrated software systems.
Role type
Principal AI Engineer (Generative AI & Agentic Systems)
Builds
Production AI solutions, agentic systems, and enterprise-wide technical standards for the bank.
Domain
Banking / Financial Services / Generative AI
Deliverable
production ML models
Required skills
Python, Generative AI (prompt engineering, RAG, fine-tuning), Agentic system design, Cloud platforms (AWS Bedrock, Sagemaker), ML frameworks (PyTorch, scikit-learn), Deep learning, Model optimization (quantization, distillation), AI orchestration (LangChain, LlamaIndex), Data visualization, CI/CD, Docker, Terraform
Preferred skills
Advanced degree in CS/Stats/Math, Experience with JavaScript and SQL
Technologies
Python, AWS (Bedrock, Sagemaker, Lex), PyTorch, scikit-learn, Hugging Face, LangChain, LlamaIndex, Docker, Terraform, Git
Responsibilities
Design and implement AI/ML systems for specific business challenges; Research and apply state-of-the-art generative AI models; Develop agentic AI systems for autonomous reasoning; Create evaluation frameworks to assess model performance and detect hallucinations; Extract meaningful patterns from complex data sets; Lead projects with limited supervision and mentor lower-level professionals; Define reference architectures and approve model lifecycle gates.
Seniority
Principal, hands-on IC with strategic influence