Job Title: Agentic AI Engineer – Claude Expert (Process Automation)

Experience Level: 5+ Years

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 rapid-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

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