Artificial Intelligence Developer

Title: AI developer

Key Responsibilities

• Define the end-to-end architecture for an AI-driven SDLC platform that supports software delivery from requirements through deployment.
• Design and implement multi-agent orchestration frameworks using Azure AI, Semantic Kernel, Copilot Studio, AutoGen, CrewAI, LangChain, or similar agent technologies.
• Architect AI capabilities for automated requirements analysis, user story generation, solution design creation, fit-gap assessment, technical documentation generation, and test automation.
• Design and implement Retrieval-Augmented Generation (RAG), vector search, knowledge graph, and enterprise knowledge management architectures.
• Establish Human-in-the-Loop (HITL) controls and governance mechanisms to ensure quality, compliance, traceability, and auditability of AI-generated outputs.
• Define integration patterns between AI agents and enterprise platforms such as Azure, GitHub, Azure DevOps, Jira, CI/CD pipelines, enterprise repositories, and business applications.
• Lead architecture decisions related to Responsible AI, security, model governance, prompt engineering standards, and regulatory compliance.
• Provide technical leadership, architecture governance, and mentorship to AI engineers, software architects, and development teams.
• Develop reusable AI accelerators, frameworks, reference architectures, and implementation patterns to drive adoption and scalability.
• Continuously evaluate emerging AI technologies and identify opportunities to enhance platform capabilities and SDLC automation.

Required Skills & Experience

• 5+ years of experience designing and implementing AI, GenAI, Machine Learning, or Agentic AI solutions.
• Strong expertise in enterprise AI architecture, large language models (LLMs), autonomous agents, and AI orchestration frameworks.
• Hands-on experience with Azure AI Foundry, Azure OpenAI, Semantic Kernel, Copilot Studio, LangChain, AutoGen, CrewAI, or equivalent technologies.
• Deep understanding of RAG architectures, vector databases, embeddings, knowledge graphs, semantic search, and enterprise knowledge systems.
• Proficiency in Python and/or C# with experience building AI-enabled applications and services.
• Experience designing API-driven, event-based, cloud-native, and microservices-based architectures.
• Strong knowledge of GitHub Copilot, Azure DevOps, CI/CD pipelines, DevSecOps, and SDLC best practices.
• Experience implementing AI governance, security, compliance, risk management, and Responsible AI principles.
• Excellent stakeholder management, leadership, and executive communication skills.

Preferred Qualifications

• Experience building AI-powered SDLC accelerators, engineering copilots, or software development automation platforms.
• Azure AI Engineer Associate or equivalent AI/ML certifications.
• Experience implementing Copilot, Agentic AI, or intelligent automation solutions in enterprise environments.
• Familiarity with Dynamics 365 CRM, Power Platform, Dataverse, or enterprise SaaS platforms.