AI Engineer (Remote)

Job Title: AI Transformation Engineer
 Experience Level: 5–8 Years
 Job Type: Full-time

We are looking for a hands-on AI Transformation Engineer to design, deploy, and support systems that make AI tools practical, scalable, and effective across the organization. This role focuses on turning AI from a conceptual capability into reliable, production-ready infrastructure that teams can use in their day-to-day work.

You will work on building agentic workflows, integrating AI tools, and enabling teams to leverage AI through well-structured prompts, automation, and operational configurations. This is a highly impactful role requiring strong problem-solving skills, technical depth, and the ability to operate in a fast-evolving AI landscape.

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  Design, build, and maintain AI-powered skills, plugins, and agentic workflows for enterprise use

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  Troubleshoot workflow failures, system issues, and user challenges to ensure reliability and performance

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  Manage AI system configurations including model access, rate limits, usage policies, and team settings

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  Support prompt engineering initiatives by creating robust system prompts and instructions for real-world usage

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  Integrate and connect tools across multiple ecosystems (including Anthropic and Microsoft environments)

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  Collaborate with cross-functional teams to identify use cases and implement practical AI solutions

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  Advise stakeholders on AI tool selection and best-fit solutions for specific business problems

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  Translate emerging AI capabilities into scalable and usable enterprise solutions

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  Operate in a fast-paced environment with evolving tools, priorities, and use cases

• 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