Required Skills:
- 8+ years of hands-on software engineering or automation development experience.
- Demonstrated experience building or integrating AI agents or workflows using platforms like ServiceNow, Google Agent Space, or similar.
- Proficiency in scripting or backend languages (e.g., Python, JavaScript, Node.js).
- Deep understanding of REST APIs and secure API orchestration across systems.
- Familiarity with enterprise IT ecosystems, including Workday, ServiceNow, O365, and endpoint monitoring tools.
- Experience working with agentic architectures or autonomous task agents (LangChain, ReAct, AutoGPT, etc.).
- Knowledge of enterprise security standards and secure API design.
- Familiarity with MCP platforms and emerging standards in Agent-to-Agent communication.
- AI/ML development experience or experience with AI Ops tools.
- Develop, test, and deploy autonomous AI agents capable of interacting with enterprise systems via APIs.
- Build multi-step workflows that agents can execute across systems (e.g., ServiceNow, Workday, Teams).
- Design and integrate with Multi-Channel Platforms (MCP) for seamless communication across Slack, Teams, and Email.
- Explore and develop early use cases of A2A (Agent-to-Agent) communication.
- Collaborate with infrastructure, security, and platform teams to ensure safe and scalable AI agent operations.
- Leverage tools like Postman, Tanium, Aternity, and ServiceNow for integration and debugging.