AI Engineer
$90,000–$140,000 year
Remote · United States or Canada
Job Summary
AI Engineer to help deliver production AI systems for enterprise clients. Responsibilities include building and deploying AI-driven solutions with pro-code tools and Azure AI Foundry, configuring/testing intelligent agents across Azure, collaborating on AI system integrations, implementing data ingestion/transformation/validation workflows for AI workloads, conducting AI-driven data discovery, applying security/compliance/responsible AI practices, documenting technical processes and designs, and participating in knowledge-sharing with the team.
Required Qualifications
- Bachelor’s degree in computer science, Engineering, or related field
- At least 2 years of hands-on experience designing, building, and deploying AI solutions within the Microsoft ecosystem
- Exposure to generative AI, large language models (LLMs), and prompt engineering
- Strong familiarity with Microsoft Azure cloud services
- Experience in developing and integrating web services
- Proficiency in .NET and Python for AI solution development
- Ability to integrate AI models into enterprise applications using REST APIs and SDKs
- Familiarity with Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols; implementation experience valued
- Experience with AI orchestration frameworks such as Semantic Kernel, LangChain, or similar tools for agent orchestration
- Experience with Azure AI services (Azure OpenAI, Cognitive Services, Azure AI Search, Speech, Vision, Foundry)
- Microsoft certifications such as Azure AI Engineer Associate are highly preferred
- Clear verbal and written communication skills
- Ability to engage with cross-functional teams
- Growth mindset and adaptability
- Comfort in fast-paced consulting environments
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