AI Engineer

Posted 7hrs ago

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Job Description

AI Transformation Engineer building production-ready enterprise AI workflows, integrations, and configurations. Enabling teams to use Anthropic and Microsoft AI tools effectively.

Responsibilities:

  • Design, build, and maintain AI-powered skills, plugins, and agentic workflows for enterprise use
  • Troubleshoot workflow failures, system issues, and user challenges to ensure reliability and performance
  • Manage AI system configurations including model access, rate limits, usage policies, and team settings
  • Support prompt engineering initiatives by creating robust system prompts and instructions for real-world usage
  • Integrate and connect tools across multiple ecosystems, including Anthropic and Microsoft environments
  • Collaborate with cross-functional teams to identify use cases and implement practical AI solutions
  • Advise stakeholders on AI tool selection and best-fit solutions for specific business problems
  • Translate emerging AI capabilities into scalable and usable enterprise solutions
  • Operate in a fast-paced environment with evolving tools, priorities, and use cases

Requirements:

  • 5–8 years of experience in software engineering or AI system development
  • Proven experience building and deploying AI systems in production environments
  • Hands-on experience with Claude tools (Chat, Code, Cowork) or similar AI platforms
  • Strong experience with workflow automation tools such as n8n or equivalent platforms
  • Strong prompt engineering expertise for consistent and scalable AI outputs
  • Solid understanding of APIs, scripting, debugging, and system integrations
  • Experience with agentic architectures or managed AI systems
  • Strong problem-solving and troubleshooting skills in distributed systems
  • Excellent communication skills to work with both technical and non-technical stakeholders
  • Ability to work in ambiguous, fast-changing environments and deliver practical solutions
  • Experience with M365 Copilot administration or deployment
  • Exposure to cybersecurity or GRC environments
  • Understanding of enterprise AI security and compliance considerations
  • Experience evaluating AI deployment strategies in regulated environments