Responsibilities
- Responsible for designing, developing, testing, operating and maintaining Enterprise AI Agents
- Takes full stack ownership by consistently writing production‑ready and testable code
- Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems/contexts affected when defining technical designs
- Performs analysis on failures, proposes design changes, and encourages operational improvements
- Takes feedback from code review and applies changes to meet standards
- Conducts code reviews to provide guidance on engineering best practices and compliance with development procedures
- Accountable for ensuring all aspects of product development follow compliance and security best practices
- Embraces emerging technology opportunities and contributes to the best practices in support of the bank’s technology transformation
- Contributes to a culture of innovation, collaboration and continuous improvement
- Reviews tasks critically and ensures they are appropriately prioritized and sized for incremental delivery; anticipates and communicates blockers and delays before they require escalation
Requirements
- Bachelor’s degree, or equivalent work experience
- Six to eight years of relevant experience
- 8+ years of development and architectural experience
- Expert in Python Programming with good understanding of other modern programming languages (Java, C#)
- Experience in developing full‑stack applications using React.js, Typescript
- Experience in building applications using Rest API architecture including Auth Flows, Encryption, Observability
- Experience in building and deploying GenAI, Agentic AI Applications using either MCP, LangChain, LangGraph, Semantic Kernel, autogen, Azure AI Foundry
- Developing solutions using RAG architecture patterns and vector databases utilizing Azure AI Services, FAISS etc.
- Good at GitHub Copilot for accelerated development and understanding on Copilot Studio
- Fundamental understanding of AI/ML models, prompt engineering
- Knowledge on SDLC processes, CI/CD Pipelines, container orchestration
Core Competencies
Demonstrates expertise in Python Programming and full‑stack application development, with a strong focus on compliance, security best practices, and architectural design principles. Proficient in building and deploying AI applications using modern technologies and frameworks, while fostering a culture of innovation and continuous improvement.
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