AI Developer Virtusa

Trigent Software Private Limited

Job Location:

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

Skill to Evaluate
Artificial IntelligencePythonChatbotAgentic AIMCPA2AAPIEnterprise INtegrationsServiceNowITSM Automation

Job Description
This role is responsible for designing building configuring and optimizing AI-powered agents within Moveworks Agent Studio (SIEs enterprise chatbot platform). The engineer will deliver scalable reliable and enterprise-grade conversational AI solutions including full ownership of Moveworks platform setup configuration and integrations across enterprise systems.

Key Responsibilities:

Design build configure and enhance AI agents within Enterprise solutions in alignment with priority and high-level design architecture defined by the Agents & Automations team.
Partner with the Agents & Automations team to deliver prioritized agents aligned with enterprise roadmap and business needs.
You will be responsible for end-to-end lifecycle of agent delivery including development testing deployment and continuous optimization
Integrate backend systems through:
Connectors
Integrations with other agents built in agentic platforms (e.g. Snowflake Snap Logic Microsoft Copilot or n8n/writer orchestration)
MCP-based integrations
Leverage enterprise systems such as ServiceNow as systems of record and workflow engines to enable intelligent automation for IT HR and Finance.
Deliver improved enterprise chatbot experience Ask Nexus for all SIE users by improving conversational flows usability and overall operational efficiency
Collaborate with cross-functional development teams to deliver integrated AI solutions for End To End ITSM automation with ServiceNow Now Assist Monitor troubleshoot and continuously optimize agent performance accuracy and overall user experience

Required Skills & Experience

Strong proficiency in Python (preferred for AI agent logic MCP server/client development and custom integrations)
Hands-on experience with Agentic AI MCP including setup configuration ingestion and plugin management (required)
Experience building chatbot solutions including A2A integrations and/or MCP-based architectures
Strong understanding of prompt engineering and defining clear execution flows for AI agents
Experience integrating systems using REST APIs OAuth/SAML and working with SQL/NoSQL databases

Skill to Evaluate Artificial IntelligencePythonChatbotAgentic AIMCPA2AAPIEnterprise INtegrationsServiceNowITSM Automation Job Description This role is responsible for designing building configuring and optimizing AI-powered agents within Moveworks Agent Studio (SIEs enterprise chatbot platform). ...

Skill to Evaluate
Artificial IntelligencePythonChatbotAgentic AIMCPA2AAPIEnterprise INtegrationsServiceNowITSM Automation

Key Responsibilities:

Design build configure and enhance AI agents within Enterprise solutions in alignment with priority and high-level design architecture defined by the Agents & Automations team.
Partner with the Agents & Automations team to deliver prioritized agents aligned with enterprise roadmap and business needs.
You will be responsible for end-to-end lifecycle of agent delivery including development testing deployment and continuous optimization
Integrate backend systems through:
Connectors
Integrations with other agents built in agentic platforms (e.g. Snowflake Snap Logic Microsoft Copilot or n8n/writer orchestration)
MCP-based integrations
Leverage enterprise systems such as ServiceNow as systems of record and workflow engines to enable intelligent automation for IT HR and Finance.
Deliver improved enterprise chatbot experience Ask Nexus for all SIE users by improving conversational flows usability and overall operational efficiency
Collaborate with cross-functional development teams to deliver integrated AI solutions for End To End ITSM automation with ServiceNow Now Assist Monitor troubleshoot and continuously optimize agent performance accuracy and overall user experience

Required Skills & Experience

Strong proficiency in Python (preferred for AI agent logic MCP server/client development and custom integrations)
Hands-on experience with Agentic AI MCP including setup configuration ingestion and plugin management (required)
Experience building chatbot solutions including A2A integrations and/or MCP-based architectures
Strong understanding of prompt engineering and defining clear execution flows for AI agents
Experience integrating systems using REST APIs OAuth/SAML and working with SQL/NoSQL databases