Remote Senior AI Software Engineer Jobs
Remote Senior AI Software Engineer jobs are in active demand across the U.S., with remote-first firms and distributed engineering teams hiring senior ai software engineers to lead model development, deployment pipelines, and applied research from anywhere. Companies currently posting include NVIDIA, Vanta, and ServiceNow. See the openings below and apply to the ones that match your experience.
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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.
Job Description
About Team
Flow by ServiceNow is a standalone conversational AI service desk, with its own product and its own codebase. Employees ask for help wherever they already work — Slack, Microsoft Teams, email, or the browser. Flow answers from connected knowledge, handles the request, and runs automations the team publishes. AI is how the product works, and a person stays in control when the action is sensitive.
Flow is a new company inside ServiceNow, reimagining every function from first principles. We hire builders with agency and curiosity who use AI as the default way to design, review, and operate. They challenge inherited ways of working and treat their work as craft.
On AI-Native Engineering, you’ll set technical direction for the systems that make Flow intelligent: the agent runtime, the tool surface a model sees, the prompt and context layers, the retrieval that grounds every answer, and the evaluation discipline that tells us whether a change made the product better. This is a hands-on role with broad influence — you’ll make architectural calls, raise the engineering bar, and help the team move from AI-assisted development to AI-native delivery.
What you’ll do
- Lead the design and delivery of complex, cross-functional features across the product, from architecture through production operations.
- Build AI-native capabilities: agent loops and the tools they call, prompt and context design, retrieval that grounds and cites its answers, and the eval harnesses that tell us whether a change actually made the product better — with reliability and governance built in.
- Define and drive how the team uses AI across the development lifecycle: code generation, test automation, review, triage, and documentation. Agentic coding is central to how this team ships. Measure the impact and share what works.
- Mentor senior and mid-level engineers and set standards for code quality, observability, and safe AI usage.
- Partner with product, UX, and other engineering leads to turn ambiguous problems into scoped, shippable plans.
- Own production quality for your area, including defect triage, release readiness, and gate reviews.
Qualifications
What we’re looking for
We don’t expect anyone to match every line below. Depth matters more to us than a match on any particular toolchain — be excellent in a modern typed stack and quick to pick up a new one.
- Experience leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This includes current, hands-on fluency with AI-assisted and agentic development, and an opinion on where those tools help and where they don’t.
- 12+ years of software engineering experience, with a track record of technical leadership at the staff level or equivalent.
- Strong proficiency in TypeScript or another statically typed language, plus solid system design skills.
- Hands-on experience building or integrating LLM-based features: prompt design, retrieval or context management, evaluation, and cost/latency tradeoffs.
- Working knowledge of agentic architectures, including tool use, orchestration, and human-in-the-loop controls.
- Clear written and verbal communication, including the ability to brief senior leaders and align multiple teams.
- Familiarity with enterprise SaaS, multi-tenant systems, and secure, compliant software delivery.
Why this role matters
The agent runtime is the product. The patterns you set — how an agent decides, which tools it may call, what it must prove before it acts, and how we measure whether it got better — are what customers experience as intelligent workflows.
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.
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.
Job Description
About Team
Flow by ServiceNow is a standalone conversational AI service desk, with its own product and its own codebase. Employees ask for help wherever they already work — Slack, Microsoft Teams, email, or the browser. Flow answers from connected knowledge, handles the request, and runs automations the team publishes. AI is how the product works, and a person stays in control when the action is sensitive.
Flow is a new company inside ServiceNow, reimagining every function from first principles. We hire builders with agency and curiosity who use AI as the default way to design, review, and operate. They challenge inherited ways of working and treat their work as craft.
On AI-Native Engineering, you’ll set technical direction for the systems that make Flow intelligent: the agent runtime, the tool surface a model sees, the prompt and context layers, the retrieval that grounds every answer, and the evaluation discipline that tells us whether a change made the product better. This is a hands-on role with broad influence — you’ll make architectural calls, raise the engineering bar, and help the team move from AI-assisted development to AI-native delivery.
What you’ll do
- Lead the design and delivery of complex, cross-functional features across the product, from architecture through production operations.
- Build AI-native capabilities: agent loops and the tools they call, prompt and context design, retrieval that grounds and cites its answers, and the eval harnesses that tell us whether a change actually made the product better — with reliability and governance built in.
- Define and drive how the team uses AI across the development lifecycle: code generation, test automation, review, triage, and documentation. Agentic coding is central to how this team ships. Measure the impact and share what works.
- Mentor senior and mid-level engineers and set standards for code quality, observability, and safe AI usage.
- Partner with product, UX, and other engineering leads to turn ambiguous problems into scoped, shippable plans.
- Own production quality for your area, including defect triage, release readiness, and gate reviews.
Qualifications
What we’re looking for
We don’t expect anyone to match every line below. Depth matters more to us than a match on any particular toolchain — be excellent in a modern typed stack and quick to pick up a new one.
- Experience leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This includes current, hands-on fluency with AI-assisted and agentic development, and an opinion on where those tools help and where they don’t.
- 12+ years of software engineering experience, with a track record of technical leadership at the staff level or equivalent.
- Strong proficiency in TypeScript or another statically typed language, plus solid system design skills.
- Hands-on experience building or integrating LLM-based features: prompt design, retrieval or context management, evaluation, and cost/latency tradeoffs.
- Working knowledge of agentic architectures, including tool use, orchestration, and human-in-the-loop controls.
- Clear written and verbal communication, including the ability to brief senior leaders and align multiple teams.
- Familiarity with enterprise SaaS, multi-tenant systems, and secure, compliant software delivery.
Why this role matters
The agent runtime is the product. The patterns you set — how an agent decides, which tools it may call, what it must prove before it acts, and how we measure whether it got better — are what customers experience as intelligent workflows.
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.
See All 73 Remote Senior AI Software Engineer Jobs
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Find JobsRemote Senior AI Software Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Education
- Insurance
- Automotive
- Cybersecurity
What Employers Look For
The qualifications that appear most often in remote senior AI software engineer jobs.
- Advanced degree or equivalent experience in computer science, machine learning, or a related field
- Production experience designing, training, and deploying large-scale machine learning models
- Proficiency in Python and at least one deep learning framework such as PyTorch or TensorFlow
- Hands-on experience with cloud ML platforms including AWS SageMaker, Google Vertex AI, or Azure ML
- Demonstrated ability to lead technical projects and mentor junior engineers across the AI stack
- Familiarity with MLOps tooling, model monitoring, and CI/CD pipelines for ML systems
Tips for Your Remote Senior AI Software Engineer Job Search
Show async collaboration in your portfolio
Remote teams want evidence you can drive complex AI projects without daily standups. Include written design documents, model cards, or GitHub READMEs that explain your decision-making process. Clear async documentation signals you can function as a senior contributor on a distributed team.
Apply early to remote roles that fit
Migrate Mate lists remote senior ai software engineer openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sorting through location-filtered noise. Early applications on new postings consistently get more recruiter attention.
Highlight distributed tooling experience upfront
Call out your fluency with remote engineering tools, such as Weights and Biases for experiment tracking, Notion or Confluence for async documentation, and cloud platforms like AWS SageMaker or GCP Vertex AI, early in your resume summary. Remote hiring managers look for this before reading the rest.
Prepare for asynchronous technical interviews
Many remote-first companies use take-home coding assessments or recorded video interviews instead of live coding rounds. Practice writing thorough explanations alongside your code, since remote employers evaluate how clearly you articulate model choices and tradeoffs in writing, not just whether your solution runs.
Remote Senior AI Software Engineer Jobs: Frequently Asked Questions
How do I get a remote senior ai software engineer job?
Target remote-first companies and distributed engineering teams that already operate asynchronously, since those employers are best set up for senior ai software engineers working outside a central office. Remote hiring managers screen heavily for self-direction, clear written communication, and the ability to document technical decisions without hand-holding. Strong GitHub contributions, published model work, or a portfolio showing end-to-end AI system ownership give you a real edge over candidates with similar credentials.
Which companies hire remote senior ai software engineers?
Remote senior ai software engineer roles are posted by NVIDIA, Vanta, and ServiceNow and others right now, based on current remote listings on Migrate Mate as of November 2026. Remote-first software companies, AI-focused startups, and distributed teams in fintech, healthcare technology, and enterprise SaaS are among the most consistent hirers of senior ai software engineers in fully remote roles.
Can you get a remote senior ai software engineer job with no experience?
Yes, but remote entry-level positions for senior ai software engineers are rare, because distributed teams expect engineers to work independently from day one with minimal in-person guidance. Candidates without formal experience can show open-source AI contributions, personal or academic projects with documented results, and evidence of async collaboration. Remote-friendly AI consultancies and early-stage startups are more likely to take a chance on self-taught engineers who can demonstrate real output.
Do you need a degree for remote senior ai software engineer jobs?
Not always. Many remote employers care more about demonstrated skills, a strong portfolio of deployed models, and the ability to communicate technical reasoning in writing than about formal credentials. That said, roles involving research or regulated industries such as healthcare AI and finance often list a relevant degree as a requirement. Showing real project work, published results, or open-source contributions can offset the absence of a degree at many companies.
Which industries hire the most remote senior ai software engineers?
Most remote senior ai software engineer openings sit in Technology & Software, Education, and Insurance, per current remote listings on Migrate Mate as of November 2026. Those sectors rely on distributed engineering teams building AI-powered products and internal tooling, making them natural fits for senior ai software engineers who work remotely.
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