Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
Staff Machine Learning Engineer
Hyderabad, India
Live, first seen by us today- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll bring
All qualificationsCore experience
- Experience leveraging AI or critically evaluating how to integrate AI into work processes, decision making, and problem solving.
- 11 + years of experience designing and implementing complex enterprise applications, with proven success in conversational AI and NLP platforms.
- Hands on expertise in LLM powered applications and tooling, including frameworks such as LangChain and LangGraph and vendor APIs such as OpenAI and Anthropic.
- Deep understanding of agentic reasoning pipelines, evaluation frameworks, and advanced NLP techniques.
- Proven ability to translate complex AI concepts into clear business value and communicate effectively with both technical and non technical stakeholders.
- Experience providing technical leadership and guiding successful AI or ML engineering projects across teams or domains.
Qualification wording
Experience leveraging AI or critically evaluating how to integrate AI into work processes, decision making, and 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.
11 + years of experience designing and implementing complex enterprise applications, with proven success in conversational AI and NLP platforms.
Hands on expertise in LLM powered applications and tooling, including frameworks such as LangChain and LangGraph and vendor APIs such as OpenAI and Anthropic.
Deep understanding of agentic reasoning pipelines, evaluation frameworks, and advanced NLP techniques.
Proven ability to translate complex AI concepts into clear business value and communicate effectively with both technical and non technical stakeholders.
Experience providing technical leadership and guiding successful AI or ML engineering projects across teams or domains.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Nov 4, 2026today
- Recorded sightings
- 1
- Reposted
- once since Oct 22, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
ServiceNow is hiring
36 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is picking up
- Takes jobs down quickly
- 22% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Python
Where the posting names them
About the team The Agentic AI team is a platform engineering group responsible for building ServiceNow's AI Agents framework, the foundational infrastructure that enables product teams and customers to create intelligent, autonomous agents. We design and develop agentic pipelines using Python and Java, delivering capabilities such as agent reasoning, memory, orchestration, and evaluation at enterprise scale. Beyond core platform development, engineers on this team have the opportunity to contribute to research initiatives in agent learning, agentic evaluation methodologies, and analytics. We embrace the rapidly evolving landscape of LLMs and Agentic AI while maintaining the reliability and performance standards required to operate at ServiceNow's scale. What you get to do in this role:
- 11 + years of experience designing and implementing complex enterprise applications, with proven success in conversational AI and NLP platforms. - Strong development skills in Java and Python, including building production grade AI or ML systems. - Hands on expertise in LLM powered applications and tooling, including frameworks such as LangChain and LangGraph and vendor APIs such as OpenAI and Anthropic.
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Applying through SmartRecruiters
- Uploading your resume fills in the application form for you, so check what it filled before you send.
Already applied? Track this application
Has ServiceNow posted this job before?
Yes. We’ve followed 13 other Staff Machine Learning Engineer jobs there since August 2026. 11 came down, usually after about 6 days. 2 are still up.
If this one keeps the same pace, it may come down around November 10.
Large employers often post one title for several teams, so these can be separate openings.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Job Description
About the team
The Agentic AI team is a platform engineering group responsible for building ServiceNow's AI Agents framework, the foundational infrastructure that enables product teams and customers to create intelligent, autonomous agents. We design and develop agentic pipelines using Python and Java, delivering capabilities such as agent reasoning, memory, orchestration, and evaluation at enterprise scale. Beyond core platform development, engineers on this team have the opportunity to contribute to research initiatives in agent learning, agentic evaluation methodologies, and analytics. We embrace the rapidly evolving landscape of LLMs and Agentic AI while maintaining the reliability and performance standards required to operate at ServiceNow's scale.
What you get to do in this role:
Lead the design and architecture of AI solutions, shaping how reasoning, memory, and orchestration come together in production systems. Own end to end delivery from design through deployment, ensuring solutions are scalable, reliable, and performant. Work hands on with modern AI frameworks and open source SDKs, with a strong emphasis on prompt engineering and pipeline optimization. Stay current with emerging advancements in LLMs and Agentic AI, integrating relevant techniques into our platform roadmap.
Provide technical leadership by mentoring engineers, conducting code reviews, and defining best practices that foster a culture of innovation and quality. Partner with product managers, architects, and leadership to translate business requirements into robust technical solutions with measurable impact. Champion observability and evaluation for AI systems, building out logging, metrics, and automated evaluation frameworks for production workloads.
Qualifications
To be successful in this role you have:
- Experience leveraging AI or critically evaluating how to integrate AI into work processes, decision making, and 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.
- 11 + years of experience designing and implementing complex enterprise applications, with proven success in conversational AI and NLP platforms.
- Strong development skills in Java and Python, including building production grade AI or ML systems.
- Hands on expertise in LLM powered applications and tooling, including frameworks such as LangChain and LangGraph and vendor APIs such as OpenAI and Anthropic.
- Deep understanding of agentic reasoning pipelines, evaluation frameworks, and advanced NLP techniques.
- Strong problem solving abilities with a bias for action, a customer first mindset, and the ability to operate effectively in fast paced environments.
- Demonstrated analytical skills in evaluating model performance, optimizing inference latency and cost, and improving system efficiency end to end.
- Proven ability to translate complex AI concepts into clear business value and communicate effectively with both technical and non technical stakeholders.
- Experience providing technical leadership and guiding successful AI or ML engineering projects across teams or domains.
- Bonus qualifications include publications, technical blogs, conference talks, or open source contributions in LLMs, GenAI, or AI systems engineering.
Additional Information
Work Personas
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.
Equal Opportunity Employer
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.
Accommodations
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.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
Company Description
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hyderabad, India
Work Personas 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. Equal Opportunity Employer
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.