- 经验
- 任何
- 薪水
- —
- 职位空缺
- 1
- 发布
- 23 小时前
- 工作模式
- 在办公室
- 学历
- B-Tech or Equivalent Engineering Degree
- 恢复
- 需要申请
你的工作地点
职位描述
About the Role
This position entails the design, construction, configuration, and optimization of AI-powered agents within Moveworks Agent Studio, the enterprise chatbot platform for SIE. The selected engineer will oversee scalable, dependable, and enterprise-grade conversational AI implementations, assuming full responsibility for platform setup, configuration, and integration throughout the enterprise systems.
Key Responsibilities
- Develop, customize, and enhance AI agents for enterprise applications, adhering to priorities and design frameworks from the Agents & Automations team.
- Collaborate closely with the Agents & Automations group to prioritize and deliver AI agents that align with company business goals and the enterprise roadmap.
- Manage the complete agent lifecycle, covering development, testing, deployment, and ongoing enhancement.
- Integrate backend systems via connectors and establish interoperability with other agents built on agentic platforms such as Snowflake, Snap Logic, Microsoft Copilot, or n8n/writer orchestration.
- Implement MCP-based integration methods.
- Utilize enterprise platforms like ServiceNow as a system of record and workflow automation engine to facilitate streamlined intelligent automation across IT, HR, and Finance domains.
- Enhance the enterprise chatbot, known as "Ask Nexus," to improve conversational flow, user interaction quality, and operational performance for all SIE users.
- Work jointly with cross-disciplinary development teams to deliver cohesive AI-driven solutions enabling comprehensive ITSM automation via ServiceNow Now Assist.
- Monitor, diagnose, and continually refine agent performance, precision, and user satisfaction levels.
Required Qualifications
- Bachelor's degree in Engineering (B-Tech) or an equivalent engineering qualification.
Required Skills and Experience
- Advanced proficiency in Python programming, especially for AI agent logic development, MCP server/client creation, and custom system integrations.
- Practical experience with Agentic AI and MCP technologies, including installation, configuration, data ingestion, and plugin administration.
- Proven ability in developing chatbot solutions, encompassing application-to-application integrations and architectures based on MCP.