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Remote mid-level AI developer with generalist LLM skills increases candidate competition.
LLM/platform-specific enterprise AI and regulated biotech context moderately limit cross-industry transferability.
Explicit years plus multiple mandatory LLM platforms, Azure and integration skills drive high strictness.
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Lead design, development, and orchestration of enterprise AI solutions using Microsoft Copilot Studio, Claude Workflows, and Azure AI Foundry.
Develop, test, and optimize AI prompts, workflows, pipelines, and integrations with corporate applications via REST APIs and event-driven architectures.
Manage AI platform administration including upgrades, security configuration, troubleshooting, documentation, and project leadership.
Bachelor's degree required.
4–6 years IT experience or 6–8 years equivalent supporting enterprise AI systems.
Hands-on experience with Microsoft Copilot, Copilot Studio, Claude Workflows, and Azure AI Foundry.
Experience deploying AI solutions via Azure Container Apps and integrating with enterprise applications (e.g., Workday, Salesforce).
Experienced in LLM architecture, prompt engineering, AI safety, and model evaluation.
Proficient with programming languages including Python, TypeScript, SQL, .NET, and automation scripting.
Skilled in API/web services integration and managing complex AI platform environments with stakeholder communication and delivery focus.