ServiceNow (ITOM) - Gen AI - Agentic AI

Vibehackers; Hyderabad, Pune District; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

Vibehackers seeks a Hybrid ITOM Engineer focused on integrating Generative and Agentic AI into IT operations. The role emphasizes incident management, service request fulfillment, and scalable AI-driven IT services, with a hybrid work setup based in Pune, Bangalore, or Hyderabad.

The ideal candidate has 3–9 years of hands-on experience with ServiceNow ITOM, ITIL practices, and modern programming languages to deliver responsible AI-powered IT operations.

Qualifications

• 3–9 years of relevant professional experience.
• Proficiency with ServiceNow IT Operations Management (ITOM) and ServiceNow platform administration.
• Strong understanding of incident management, service request fulfillment, and ITIL practices.
• Experience with Generative AI, Agentic AI concepts, prompt engineering, and AI evaluation frameworks.
• Strong analytical and problem-solving skills.

Responsibilities

• Implement and administer ServiceNow ITOM solutions to support incident management and service request fulfillment processes.
• Integrate Generative/Agentic AI capabilities and prompt engineering to provide scalable, responsible, and business-aligned AI functionality.
• Diagnose and resolve technical issues; apply strong analytical and problem-solving approaches.
• Collaborate with stakeholders to ensure AI solutions deliver tangible value and comply with responsible-use practices.
• Work within software development life cycle methodologies to design, develop, and maintain solutions.

Skills

Generative AI

Agentic AI

Prompt Engineering

AI Evaluation Frameworks

Incident Management

Service Management

SDLC

Programming

ITOM

ServiceNow

Tools

ServiceNow ITOM

ServiceNow Platform

Job description

Directly works with generative and agentic AI and prompt engineering, so it's relevant for vibe coding and AI-augmented tooling.

About the Role

ServiceNow ITOM engineer focused on integrating Generative and Agentic AI capabilities into IT operations to improve incident management, service request fulfillment, and operational scalability. Hybrid role based in Pune, Bangalore, or Hyderabad for candidates with 3–9 years of experience.

Job Description

Role

ServiceNow IT Operations Management (ITOM) engineer responsible for applying Generative and Agentic AI, prompt engineering, and AI evaluation frameworks to enhance IT operations and align AI capabilities with business objectives.

Key Responsibilities

• Implement and administer ServiceNow ITOM solutions to support incident management and service request fulfillment processes.
• Integrate Generative/Agentic AI capabilities and prompt engineering to provide scalable, responsible, and business-aligned AI functionality.
• Diagnose and resolve technical issues; apply strong analytical and problem-solving approaches.
• Collaborate with stakeholders to ensure AI solutions deliver tangible value and comply with responsible-use practices.
• Work within software development life cycle methodologies to design, develop, and maintain solutions.

Requirements

• 3–9 years of relevant professional experience.
• Proficiency with ServiceNow IT Operations Management (ITOM) and ServiceNow platform administration.
• Strong understanding of incident management, service request fulfillment, and ITIL practices.
• Experience with Generative AI, Agentic AI concepts, prompt engineering, and AI evaluation frameworks.
• Strong analytical and problem-solving skills.
• Familiarity with modern programming languages and development frameworks.

Location & Employment Type

• Full-time role.
• Immediate joiners preferred (up to 30 days notice).

ServiceNow ITOM ServiceNow ITIL Generative AI Agentic AI Prompt Engineering AI Evaluation Frameworks

Skills

Generative AI Agentic AI Prompt Engineering AI Evaluation AI Strategy & Alignment Scalability Planning Responsible AI Practices Analytical Problem Solving Incident Management Service Management Software Development Life Cycle (SDLC) Programming