Senior Agentic AI Engineer

This role is for one of the Weekday's clients

Requirements

Key Responsibilities

• Design and implement Agentic AI workflows to automate end-to-end SDLC assurance processes
• Enhance existing AI agents (e.g., Test Generator, Evidence Checker) for improved accuracy, scalability, and explainability
• Develop new AI agents for controls such as Deployment, IAM, Security, and Change Management
• Translate SDLC standards, policies, and controls into AI reasoning logic and rule-based decision flows
• Build and optimize solutions using Large Language Models (LLMs) on platforms such as GCP Vertex AI, Amazon Bedrock, or other enterprise LLM platforms
• Implement prompt engineering, tool calling, and multi-agent orchestration
• Design guardrails, validation checks, and human-in-the-loop mechanisms to ensure reliable AI outputs
• Build and maintain knowledge graphs representing SDLC controls, testing standards, and best practices
• Implement vector databases for semantic search and retrieval
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines for context-aware AI responses
• Ensure all AI outputs are traceable, explainable, and audit-ready
  

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
• 12+ years of experience in development and test automation frameworks
• Strong proficiency in Python for AI/ML and backend development
• Hands-on experience with LLMs and AI platforms (GCP Vertex AI, Amazon Bedrock, OpenAI-compatible APIs)
• Experience designing Agentic AI systems or multi-step AI workflows
• Solid understanding of knowledge graphs, vector databases, and RAG pipelines
• Experience with API integrations, microservices, and cloud-native architectures
• Familiarity with CI/CD pipelines and DevOps practices
• Experience in Banking or financial domain (core banking solutions, payment systems, digital banking platforms) is a plus
  

Skills

• Python
• Large Language Models (LLMs)
• Test Automation
• Vertex AI / Amazon Bedrock
• Vector Databases
• RAG Pipelines
• Microservices Architecture
• Full SDLC & SDLC Controls
• Cloud-Native Development
• Multi-Agent Orchestration
  

Benefits

• Comprehensive health insurance for self and family
• Employee wellness programs
• Career growth opportunities in enterprise AI and SDLC automation domains