ServiceNow: Senior Staff Machine Learning Engineer- Voice AI — Hyderabad, India

About ServiceNow

ServiceNow develops an enterprise software platform bringing together data, workflows and AI for business operations. Its employer introduction traces the business to automating a repetitive workplace task and describes a continuing focus on freeing people from routine work. The platform is intended to connect technology with how organisations carry out their processes. This makes workflow automation and the use of information in everyday business activity central themes, rather than a product aimed at only one industry.

The position and its setting

ServiceNow lists Senior Staff Machine Learning Engineer- Voice AI in Hyderabad, India, under reference JB0075945. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 9 October 2026
• Brands: ServiceNow

Subjects named in the job description

The posting mentions the following work areas. These references are not a separate list of compulsory certifications.

• Python
• Java
• Kubernetes
• AI/ML
• LLMs
• ServiceNow
• machine learning
• AI
• compliance
• training

Essential requirements and candidate background

• To be successful in this role you have:
• Experience: leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving
• This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
• 12+ years of relevant industry experience, including technical leadership of large, cross-team initiatives
• A track record of architecting and shipping distributed Voice AI or voice platform systems (real-time audio, STT/TTS, telephony or WebRTC) at large operational scale
• 5+ years designing and leading large-scale, complex agentic systems in production (agent orchestration, tool calling, multi-agent coordination)
• 6+ years of development experience with Python, Golang, Java or similar languages
• 3+ years building LLM-based applications (integrating models, not training), including experience with self-hosted model deployment
• Deep experience operating highly available distributed workloads on Kubernetes following a DevOps approach
• Influence architecture and engineering direction across multiple teams and stakeholders
• Experience building software for compliance and security in regulated environments is considered an asset
• Critical thinking about AI integrations for work processes, decision-making or problem-solving
• This may include using AI-powered tools, automating workflows, analysing AI-driven insights, or exploring AI's potential impact on the function or industry
• Experience building with AI tools such as Claude Code, Cursor and Windsurf

Location, schedule and contract conditions

• Work arrangement: On-site
• Advertised location: Hyderabad, India

Benefits mentioned by the employer

• The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers
• We are a group of researchers, applied scientists, engineers, and product managers with a dual mission
• We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences
• In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future
• Play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services
• Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results
• We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world
• Lead the architecture and technical direction of the core Voice Platform (Audio Acquisition, Conversation Management, Speech Generation, integration with API and self-hosted Voice AI models, Voice Harness)
• Design and drive large-scale, complex agentic systems, including agent orchestration, routing, tool calling and multi-agent workflows, with strict latency and reliability targets
• Partner with product managers, customers and senior leadership to shape the platform roadmap around real use cases and technology challenges
• Own the design and delivery of Voice distributed systems at scale, spanning multiple regions and data centers
• Set engineering standards for architecture, code quality and processes (design reviews, code reviews, testing) across teams

Employer details to confirm

• The employer’s seniority category and its stated experience requirements do not agree. Follow the role-specific requirements above rather than assuming this is a fresher opening.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Staff Machine Learning Engineer- Voice AI vacancy is not an offer for reference JB0075945; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to ServiceNow

Applications follow the official employer page linked below.

Open the official ServiceNow posting below and match the title and reference JB0075945.

Compare your qualifications and experience with the essential conditions for the Hyderabad, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• Java
• Kubernetes
• AI/ML
• LLMs
• ServiceNow
• machine learning
• AI
• compliance
• training