• Assist in the creation and implementation of AI-driven solutions utilizing pro-code tools, Azure AI Foundry, and associated services.

• Aid in the configuration and testing of intelligent agents within Azure cloud environments.

• Collaborate with senior team members to build and enhance AI systems and integrations.

• Support the execution of data ingestion, transformation, and validation workflows to optimize data for AI workloads.

• Engage in AI-driven data discovery and exploration activities.

• Acquire and apply best practices regarding security, compliance, and responsible AI solution development.

• Document technical processes and solution designs thoroughly.

• Participate in team discussions and knowledge-sharing sessions to enhance technical expertise.

• A Bachelor’s degree in computer science, Engineering, or a related discipline.

• Microsoft certifications, particularly Azure AI Engineer Associate, are strongly preferred.

• Minimum of 2 years of practical experience in designing, building, and deploying AI solutions within the Microsoft ecosystem.

• Familiarity with generative AI, large language models (LLMs), and prompt engineering.

• Strong knowledge of Microsoft Azure cloud services.

• Experience in developing and integrating web services.

• Proficient in .NET and Python for AI solution development.

• Capability to integrate AI models into enterprise applications via REST APIs and SDKs.

• Understanding of Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols; practical implementation experience is highly regarded.

• Experience with AI orchestration frameworks like Semantic Kernel, LangChain, or similar tools for agent orchestration.

• Excellent verbal and written communication skills for diverse audiences, technical and non-technical alike.

• Confident presentation abilities, including the skill to convey complex concepts to senior clients.

• Flexible work arrangements

• Professional development opportunities

AI Engineer

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