Remote Associate AI Engineer Jobs
Remote associate ai engineer jobs are open across the U.S. at remote-first firms and distributed teams building AI-powered products, with strong demand in sectors like software, healthcare, and financial technology. Employers hiring remotely right now include Atlas Technologies, NVIDIA, 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 503+ Remote Associate AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Associate AI Engineer Job Market
Who's Hiring
- Atlas Technologies24
- NVIDIA16
- ServiceNow10
- Bitdeer Technologies9
- Sedgwick5
Top Industries Hiring
- Technology & Software13
- Consulting & Professional Services4
- Electronics & Hardware3
- Manufacturing2
- Government & Public Sector2
What Employers Look For
The qualifications that appear most often in remote associate AI engineer jobs.
- Bachelor's degree in computer science, data science, or a related technical field
- Proficiency in Python and at least one deep learning framework such as PyTorch or TensorFlow
- Experience building, training, or fine-tuning machine learning models in a project or academic setting
- Familiarity with data preprocessing, feature engineering, and model evaluation techniques
- Exposure to cloud platforms such as AWS, Google Cloud, or Azure for model deployment
- Strong communication skills to present model results and trade-offs to non-technical stakeholders
Tips for Your Remote Associate AI Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote associate ai engineer openings from companies across the U.S. in one place. Search roles that match your skills and apply directly without sorting through listings that mix in office-required positions.
Show async communication skills in your application
Remote associate ai engineer hiring managers read cover letters and take-home assessments closely because those documents reveal how you think and write without real-time back-and-forth. Write with precision and structure every explanation as if the reader can't ask a follow-up question.
Build a public portfolio of ML project work
Remote employers can't observe your process in person, so a documented GitHub repository with real AI or ML projects is your proof of competence. Include notebooks, model cards, and brief write-ups explaining your decisions, not just the code.
Signal remote readiness with your interview setup
Video interviews for remote associate ai engineer roles double as a test of your remote work environment. A stable connection, clean background, and familiarity with screen-sharing technical work signal that you're set up to collaborate effectively from day one.
Remote Associate AI Engineer Jobs: Frequently Asked Questions
How do I get a remote associate ai engineer job?
Target remote-first companies and distributed engineering teams that build AI products, since they hire associate ai engineers remotely most consistently. Remote employers screen for self-direction, clear written communication, and proficiency with collaboration tools like Slack and GitHub. Demonstrating hands-on ML project work, familiarity with Python and cloud ML platforms, and the ability to document your reasoning asynchronously gives you a clear edge over candidates with equivalent experience who lack those remote-ready habits.
Which companies hire remote associate ai engineers?
Companies hiring remote associate ai engineers right now include Atlas Technologies, NVIDIA, and ServiceNow, based on current remote listings on Migrate Mate as of November 2026. These tend to be remote-first software firms, AI product startups, and distributed enterprise technology teams operating across sectors like healthcare technology, fintech, and cloud infrastructure.
Can you get a remote associate ai engineer job with no experience?
Yes, but remote entry-level associate ai engineer roles are harder to land because employers expect you to contribute independently from day one without in-office guidance. AI-focused startups and remote-first product companies are the most likely to hire candidates without formal experience. A strong GitHub portfolio of ML projects, contributions to open-source AI repositories, or a completed AI specialization from a recognized program can substitute for direct work history and open the door to these roles.
Do you need a degree for remote associate ai engineer jobs?
Not always. Many remote employers care far more about demonstrated AI skills than a formal credential. What opens doors is real project work, proficiency in Python and core ML frameworks, and the ability to show results, whether through a portfolio, open-source contributions, or completed coursework. Some roles, particularly at larger enterprise organizations, do list a computer science or related degree as a preference, but remote-first startups frequently waive that requirement for candidates who can show their work.
Which industries hire the most remote associate ai engineers?
The sectors hiring the most remote associate ai engineers are Technology & Software, Consulting & Professional Services, and Electronics & Hardware, based on current remote listings on Migrate Mate as of November 2026. These industries rely on distributed engineering teams that integrate AI into products and workflows, making fully remote associate ai engineer roles a natural fit for how they operate.
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