Job Description
Design, build and configure applications to meet business process and application requirements.
Job Qualifications
A Microsoft Azure Agentic AI Engineer is responsible for designing and developing autonomous AI agents using orchestration frameworks such as Semantic Kernel and LangChain. This role focuses on building multi-step reasoning systems that can plan, act, and adapt using Azure OpenAI and enterprise tools, enabling intelligent automation and decision support.
Responsibilities
- Build intelligent agents using Semantic Kernel, LangChain, or similar orchestration frameworks.
- Design workflows that incorporate planning, memory, tool use, and adaptive reasoning.
- Implement prompt chaining and function calling to enable complex task execution.
Integration & Prototyping
- Integrate agentic AI systems with Azure OpenAI, enterprise APIs, and business applications.
- Prototype and validate agentic use cases for automation, decision support, and knowledge management.
Responsible AI & Safety
- Apply Responsible AI principles to ensure agent transparency, safety, and ethical behavior.
- Monitor agent performance and behavior, ensuring alignment with business and compliance standards.
Qualifications
- Hands-on experience with Semantic Kernel, LangChain, or similar agentic frameworks.
- Strong background in Azure AI services, including Azure OpenAI and Azure Functions.
- Proficient in Python and orchestration logic for multi-step workflows.
- Solid understanding of LLMs, prompt chaining, and autonomous agent design.
- Excellent analytical, problem-solving, and collaboration skills.
Preferred Skills
- Experience with vector search, memory stores, and tool integration for agents.
- Familiarity with Microsoft Copilot extensibility and plugin development.
- Knowledge of MLOps and observability practices for agentic systems.
- Microsoft certifications (e.g., Azure AI Engineer Associate or Semantic Kernel Developer) are a plus.
- Minimum 3 year(s) of experience is required