AI Engineer

   Design, develop and deploy Generative AI solutions (AI assistants, code generation tools, intelligent automation) that increase IT staff productivity

·       Collaborate with IT teams across the domain to identify high-impact use cases where AI can streamline development, testing, documentation or operations

·       Build AI agent architectures tailored to IT workflows, including agent orchestration and inter-agent communication protocols (e.g. Model Context Protocol – MCP)

·       Develop full-stack components supporting AI solutions: backend services (Python – mandatory), frontend interfaces (React or Angular – optional), and API layers

·       Work closely with the Product Owner and domain experts to translate IT pain points and requirements into technical specifications and actionable user stories

·       Leverage the GenAI Platform squad's shared services, APIs and components to build solutions efficiently while providing feedback for platform improvements

·       Implement and maintain CI/CD pipelines for AI solution deployment, ensuring quality, reproducibility and traceability

·       Design and manage containerized environments (Kubernetes/Docker) for AI workloads in the bank's private cloud infrastructure

·       Ensure all solutions comply with the bank's security, data privacy and governance standards, particularly around sensitive data handling and regulatory constraints

·       Conduct proof-of-concepts (PoCs) and prototyping to evaluate emerging AI tools and frameworks for potential adoption in IT use cases

Contributing Responsibilities

·       Provide feedback to the GenAI Platform squad on shared services, APIs and components to drive platform improvements

·       Participate in knowledge sharing, internal tech talks and communities of practice around GenAI, IT automation and emerging technologies

·       Contribute to the technical evaluation of third-party AI tools and vendor solutions, providing recommendations to the Division Head

·       Mentor and support junior team members on AI engineering best practices and coding standards

·       Collaborate with other IT squads to identify cross-domain AI use cases and integration opportunities

·       Support the preparation of governance documentation (Technical Design Documents, Architecture Decision Records) required for solution deployment

·       Support the squad Scrum Master and Product Owner in backlog refinement, effort estimation and sprint planning from a technical perspective