Senior AI Platform Architect – Agentic SDLC Automation

Title: Senior AI Platform Architect – Agentic SDLC Automation

Description: We are looking for an experienced AI Platform Architect to design, architect, build, and operationalise an enterprise Agentic AI Harness that enables end-to-end SDLC automation across .NET and Azure environments.

Tech Skills Required

The candidate should have hands-on experience with the following:

• AI and Agentic Engineering
• Experience designing and building AI agents, multi-agent workflows, or agentic orchestration systems
• Practical knowledge of frameworks such as Microsoft Agent Framework, ADK, LangGraph, LangChain and LangFuse
• Prompt engineering, tool calling, structured outputs, agent memory, planning, routing, and evaluation patterns
• Experience integrating LLMs with enterprise systems, repositories, APIs, and development workflows
• Understanding of AI observability, tracing, evaluation, guardrails, and feedback loops
• Experience defining architecture patterns and governance for enterprise AI platforms
• SDLC Automation and Developer Productivity
• Experience using AI coding tools such as GitHub Copilot, Claude Code and Cursor
• Ability to design automated workflows for:
• Requirements analysis
• Specification generation
• User story creation
• Architecture and design decision records
• Task breakdown
• Test case generation
• Test plan creation
• Code generation
• Test execution
• Documentation generation
• Experience defining engineering standards, reusable templates, and software delivery patterns
• Software Architecture and Engineering
• Strong experience with .NET / C#
• Experience designing APIs, services, backend systems, and cloud-native applications
• Good understanding of software architecture, clean code principles, design patterns, secure coding practices, and Test-Driven Development (TDD) methodologies
• Experience with unit testing, integration testing, functional testing, and automated test execution
• Familiarity with test frameworks and automated testing tools used within the .NET ecosystem
• Experience producing architecture artefacts including reference architectures, architecture decision records, and implementation blueprints
• Cloud and Platform Architecture
• Strong experience with Microsoft Azure
• Experience designing cloud-native platforms and developer enablement capabilities
• Understanding of Infrastructure-as-Code, CI/CD pipelines, platform engineering, and cloud governance
• Experience designing secure, scalable, and resilient enterprise solutions

Nice To Have Skills

The following skills would be advantageous:

• Experience with Semantic Kernel, Azure AI Foundry, Azure OpenAI, or OpenAI APIs
• Experience with Model Context Protocol (MCP) tools and agent tool integration
• Experience creating reusable software factory, internal developer platform, or platform engineering capabilities
• Familiarity with DevSecOps, secure SDLC, and automated security testing
• Experience building RAG-based systems or integrating AI agents with enterprise knowledge bases
• Knowledge of enterprise data privacy, Responsible AI, and AI governance controls