Actively Hiring
SE
Sr Software Engineer
ServiceNow
Skills:
Machine Learning
Job Description
Job Title: Sr Software Engineer
Company: ServiceNow
Job Category: Machine Learning
Roles & Responsibilities:
Job Description
This is a hands\-on, forward deployed role for a senior engineer whose first instinct is AI — someone who can shape ambiguous customer problems into precise specifications, author the instructions and prompts that govern agent behavior, build the application and integrations around them, and prove through automated evaluation that the result behaves correctly. This is not a machine learning or AI research role; you will not train foundation models. You own what ships, whether a human or an agent produced it.
* Build AI\-native applications. Design and ship applications built around agentic behavior across Field Service Management — scheduling, dispatch, and workflows that reason over context, automate routine work, and escalate exceptions.
* Work AI\-first in delivery. Direct coding agents to build, refactor, and test; use AI to think more sharply in front of customers; and apply it as part of everyday engineering practice rather than as a side tool.
* Deliver forward deployed. Work embedded in customer environments, tuning instructions and evaluation sets on the ground, using AI to compress turnaround without cutting quality.
* Author and maintain agentic instructions. Write, structure, and version the system instructions, role definitions, tool descriptions, guardrails, and escalation rules that govern agent behavior — treating them as reviewed, regression\-covered engineering artifacts.
* Build automated evaluation and test non\-deterministic behavior. Design and operate golden datasets, multi\-turn conversation suites, model\-as\-judge scoring, CI gates, drift detection, adversarial testing, and grounding checks that make change safe.
* Design conversational experiences. Build experiences that hold context, confirm before consequential actions, and hand off cleanly to humans.
* Collaborate across product, UX, and documentation. Bring the AI\-first instinct into cross\-functional partnerships, not just your own code.
* Own quality and safety in production. Monitor containment, hallucination, prompt injection, and data leakage, then feed failures back into specifications and evaluation sets.
* Software engineering fundamentals. Strong command of data structures, algorithms, system design, APIs, data modeling, and testing. Good to have technologies like HTML, CSS, JavaScript and Java.
* AI\-native application development. Hands\-on experience with agent orchestration at the application layer, tool and function calling, context assembly, grounding against enterprise data, and handling latency, cost, and failure.
* Agentic instruction and prompt engineering. Demonstrated skill with instructions, role definitions, tool descriptions, guardrails, structured outputs, grounding, citation, graceful failure, and disciplined iteration against measured outcomes.
* Specification precision. Ability to define a problem rigorously enough that another engineer or an AI agent implements it correctly, and to judge when to solve it in code, in instructions, or by delegating.
* Customer\-facing delivery with AI\-native speed. Comfort working directly with customers under real constraints, using AI to cut turnaround, and communicating capability and risk credibly to non\-engineers.
* AI safety and data handling. Working knowledge of prompt injection, data leakage, over\-broad tool access, and unsafe autonomous action, translated into concrete guardrails and least\-privilege controls.
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third\-party service.
Work Location: Telangana, India
Availability: Full time
Requirements
Qualifications Experience
A demonstrated track record of building, shipping, and operating production software, including hands\-on delivery of AI\-native application features that real users depend on rather than demos. Direct experience authoring agentic instructions and prompts, designing AI\-driven workflows, and building evaluation and testing for non\-deterministic behavior is required. Experience with chat experiences is required; voice or multi\-channel experience is strongly preferred. Willingness to work directly with customers in a forward deployed capacity is required; prior forward deployed experience is an advantage.
Education
Typically requires a 0-1 years of experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience.
Desired experience
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Key Skills: Machine Learning
Salary: Not disclosed