[Hiring] AI Transformation Engineer @RemoteStar

Role Description

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.

Key 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

Required Skills & Tech Stack

• 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

Nice to Have

• 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