AI Engineer

Title

AI Engineer

Location

PAN India

Exp

6+ Yrs

Job Description

KEY RESPONSIBILITIES

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• Agentic Solution Design and Build
• Design and implement Now Assist agentic use cases, including AI agents, agentic workflows, tools and skills on the ServiceNow AI Platform.
• Translate experimentation goals from Customer into working prototypes and repeatable patterns.
• Configure agent orchestration, prompts, guardrails and fallback behaviour so agents act reliably and within governance boundaries.
• MCP and A2A Integration
• Implement and test Model Context Protocol (MCP) integrations, exposing ServiceNow capabilities as tools and consuming external MCP servers.
• Implement Agent2Agent (A2A) patterns so ServiceNow agents can collaborate with agents on other platforms.
• Integrate ServiceNow agentic capabilities with Copilot, working directly with the Copilot team on architecture, authentication, identity and data access.
• Troubleshoot integration issues across ServiceNow, MCP/A2A endpoints and the Copilot layer, using logs, API responses and other diagnostic evidence.
• Experimentation and Evaluation
• Run time-boxed experiments, test agent behaviour against realistic employee scenarios, and capture results, limitations and lessons learned.
• Assess accuracy, security, performance, supportability and user experience of each pattern tested.
• Roadmap Input and Knowledge Transfer
• Provide findings and recommendations that inform the 2027 DFD agentic roadmap, including architecture options and readiness considerations.
• Produce concise technical documentation, reference architectures and demos for J&J stakeholders.
• Share working patterns and configurations so J&J can reuse them after the engagement.
• Collaboration and Delivery Discipline
• Work closely with the J&J ESM team, the Copilot team, the Wipro ESM Program Lead and the Platform Architect.
• Follow Customer specific change, security and development-versus-production controls, and give regular status updates on progress, risks and blockers.

REQUIRED QUALIFICATIONS

• Hands-on experience implementing Now Assist agentic use cases in ServiceNow.
• Practical experience with MCP and A2A architectures, including working integrations rather than conceptual knowledge only.
• Experience integrating ServiceNow AI capabilities with external platforms such as Copilot.

Strong ServiceNow platform skills

Flow Designer, scripting, REST/API integrations, roles and access controls.

• Solid understanding of APIs, authentication and authorization (OAuth, tokens, scopes, identity).
• Ability to independently diagnose issues across multiple integrated systems.
• Strong communication and documentation skills, with the ability to explain technical trade-offs to architects and business sponsors.
• Immediate or near-term availability and the ability to contribute quickly in a short-duration engagement.

PREFERRED QUALIFICATIONS

• Experience with Now Assist, AI Agent Studio or AI Agent Orchestrator, and related ServiceNow AI Platform capabilities.
• Experience with Microsoft Copilot and Copilot Studio extensibility.
• Experience with Workflow Data Fabric or other enterprise data and search integrations.
• ServiceNow certifications (CSA, CAD) and Now Assist or AI-related credentials.
• Experience in a large, regulated global enterprise, preferably life sciences or healthcare.
• Experience working across US and India time zones.