AI Engineer (Claude Expert)

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