AI Transformation Engineer

About the Role

We are seeking a hands-on AI Transformation Engineer to design, deploy, and support systems that make AI tools practical, scalable, and effective across an organization. The role focuses on turning AI capabilities into reliable, production-ready infrastructure that teams can use in day-to-day work.

The engineer will build agentic workflows, integrate AI tools, and help teams adopt AI through structured prompts, automation, and operational configuration. This role requires strong problem-solving ability, technical depth, and adaptability in a fast-evolving AI landscape.

Key Responsibilities

AI Engineering & Workflow Automation

• 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.
• 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.

Enterprise AI Operations & Collaboration

• Manage AI system configurations, including model access, rate limits, usage policies, and team settings.
• Collaborate with cross-functional teams to identify use cases and implement practical AI solutions.
• Advise stakeholders on AI tool selection and suitable solutions for specific business problems.
• Translate emerging AI capabilities into scalable and usable enterprise solutions.
• Work effectively 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 for working with technical and non-technical stakeholders.
• Ability to work in ambiguous, fast-changing environments and deliver practical solutions.

Nice to Have

• Experience with Microsoft 365 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.

Experience: 5-8 years

CTC: Up to 30 LPA