Agentic AI Architecture - IT-Architect-Solution (Senior)

Role Overview

Qualifications and Experience

• A Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related discipline is required.
• Candidates must have architected or delivered banking agents or full-fledged banking chat assistants integrated with enterprise systems.
• Candidates must understand retail banking, payments, transfers, servicing, customer self-service, operational controls, and regulatory or security considerations.
• Relevant cloud architecture, AI engineering, security architecture, enterprise architecture, or machine learning certifications are preferred.

Technical Skills

• Required technical capabilities include Python, APIs, microservices, event-driven architecture, RAG, model or agent evaluation, and cloud-native deployment.
• Experience is required with agent frameworks such as Microsoft Semantic Kernel, AutoGen, LangChain, LangGraph, or similar platforms.
• Experience is required with MCP, A2A, A2UI, tool integration, agent interoperability, Azure AI, Azure OpenAI, AWS AI services, and Amazon Bedrock.
• Security expertise includes Zero Trust, identity and access management, PII protection, privacy by design, guardrails, secure logging, and auditability.
• Infrastructure expertise includes Kubernetes, serverless platforms, vector databases, observability, monitoring, data pipelines, and connectivity.

Key Accountabilities

• Own enterprise Agentic AI architecture, reference patterns, reusable components, and governance guardrails for banking use cases.
• Architect conversational AI and agent platforms supporting customer assistance, servicing, payments, transfers, and operational self-service.
• Design multi-agent ecosystems with orchestration, tool use, memory, context management, evaluation, and human-in-the-loop controls.
• Lead RAG, semantic indexing, vector database, grounding, retrieval optimization, and answer relevancy architecture.
• Define standards for evaluation, guardrails, auditability, observability, performance, safety, and business outcomes.
• Produce Architecture Decision Records, solution architecture documents, integration designs, and architecture review board presentations.
• Collaborate across enterprise architecture, cybersecurity, infrastructure, engineering, product, operations, data, compliance, and business teams.

Leadership Capabilities