Remote AI Engineer Jobs
Remote AI Engineer jobs are open across the U.S. at remote-first companies and distributed teams in sectors like software, fintech, healthcare technology, and enterprise SaaS. Employers hiring remotely right now include BV Teck, Revstar, and Bitdeer Technologies. Find a role that fits below and apply directly.
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US Based Position. Must be US Citizen.
Location: Arlington VA(U.S.-based). Remote Work Allowed in US.
Employment Type: Full-Time
Company: Technology & Business Management, Inc. (TBM Inc.)
Experience Level
8+ years in security analytics/SIEM engineering with 4+ years of advanced Splunk engineering; hands-on dashboarding, SPL, alerting, data onboarding, and automation required.
Position Summary
Own DLP telemetry, analytics, dashboards, alerting, automation, and measurable optimization in Splunk, while supporting Government-approved SOAR/RPA and bounded AI/ML use cases.
Key Responsibilities
Engineer and maintain Splunk ingestion, normalization, searches, dashboards, reports, alerts, health metrics, event-volume trends, and operational/executive DLP reporting.
Develop SPL queries and documented calculations that Government personnel can reproduce and sustain.
Integrate telemetry from Symantec/Broadcom, Purview, Palo Alto, and other authorized DLP/security platforms.
Design automated notifications, alerts, alarms, and Government-authorized SOAR/RPA workflows to reduce manual triage and improve response.
Support event correlation, incident analytics, severity/prioritization, trend analysis, and detection-performance measurement.
Evaluate approved AI/ML-enabled capabilities to reduce false positives, identify notable events, improve triage, and reduce analyst workload; establish baseline/candidate comparisons and rollback criteria.
Track metrics such as false positives, false negatives where measurable, alert volume, time-to-triage/disposition, stability, workload, and business impact.
Document data definitions, dashboard maintenance, automation logic, model/configuration tuning, test evidence, limitations, procedures, and Government training.
Required / Critical Skills
Splunk Enterprise / Splunk ES; SPL; dashboards; data models; alerts; field extraction; ingestion/onboarding; CIM; APIs; security analytics; incident correlation.
Splunk SOAR or comparable orchestration/automation; Python or scripting; REST APIs; JSON; data normalization.
Understanding of DLP events/policies, SOC workflows, detection engineering, false-positive reduction, and security KPIs.
Practical AI/ML analytics knowledge with emphasis on explainability, human review, validation, privacy/security controls, and measurable benefit rather than custom model research.
Splunk Core Certified Power User/Admin/Architect or Splunk Enterprise Security certification strongly preferred.
Preferred Qualifications
Experience with Qmulos, federal continuous monitoring/FISMA reporting, or large federal Splunk environments.
Experience integrating DLP products into SIEM/SOAR workflows.
Current Public Trust/MBI or clearance.
Education
Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, Engineering, Information Systems, or a related field is preferred. Equivalent directly relevant experience and advanced industry certifications may be considered, subject to the applicable contract labor-category requirements.
Federal Suitability / Security
Candidate must be able to meet IRS personnel-security and suitability requirements for the position, including the applicable background investigation and required security/privacy training. A current favorably adjudicated federal Public Trust/MBI or other investigation that may qualify for reciprocity is highly desirable.
What Will Make a Candidate Stand Out
Direct hands-on experience with the named platform(s), not only governance or oversight.
Recent enterprise production experience supporting sensitive or regulated information.
Ability to explain specific examples of troubleshooting, policy/rule tuning, testing, incident support, measurable improvement, and documentation.
Federal customer experience and demonstrated ability to work within controlled access, change, audit, and documentation processes.
Ability to become productive quickly and communicate effectively with both engineers and Government stakeholders.
Why Join TBM Inc.
- Support high-impact federal missions
- Work on strategic IT modernization programs
- Join a fast-growing federal consulting firm
- Collaborate with experienced government and industry leaders
- Opportunity to grow into senior consulting and portfolio management roles
How to Apply
Interested candidates should apply via Indeed with their resume. Qualified applicants will be contacted for next steps.
TBM Inc. is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, or veteran status.
Job Type: Full-time
Pay: $145,000.00 - $155,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Employee assistance program
- Employee discount
- Flexible schedule
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Professional development assistance
- Referral program
- Retirement plan
- Tuition reimbursement
- Vision insurance
Work Location: Remote
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Find Remote AI Engineer JobsRemote AI Engineer Job Market
Who's Hiring
- BV Teck14
- Revstar9
- Bitdeer Technologies8
- NewRocket6
- ServiceNow6
Top Industries Hiring
- Technology & Software20
- Consulting & Professional Services9
- Insurance3
- Non-Profit & Social Services3
- Retail2
What Employers Look For
The qualifications that appear most often in remote AI engineer jobs.
- Proficiency in Python and at least one deep learning framework such as PyTorch or TensorFlow
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for ML workloads
- Understanding of LLM architectures, prompt engineering, and fine-tuning or RLHF techniques
- Bachelor's or master's degree in computer science, machine learning, statistics, or a related field
- Experience with MLOps tooling including experiment tracking, model versioning, and pipeline orchestration
Tips for Your Remote AI Engineer Job Search
Build a portfolio employers can review async
Remote hiring moves fast and asynchronously. Host your model projects, notebooks, and deployment work on GitHub with clear README files explaining your approach, the problem you solved, and the results. Reviewers assess your thinking before they ever speak to you.
Signal async communication skills upfront
Remote ai engineer teams communicate through Slack, Notion, Confluence, and written design docs rather than hallway conversations. Mention specific async tools and practices in your resume and cover letter so hiring managers can see you already work this way.
Apply early to remote roles that fit
Migrate Mate lists remote ai engineer openings from across the U.S. in one place so you can find roles that match your stack and apply directly. Remote postings fill quickly, so applying in the first few days gives you a real edge over later applicants.
Target companies with distributed engineering teams
Remote-first companies and those with established distributed teams have hiring processes built for remote candidates. Look for organizations where remote is the default, not an exception, since their onboarding, tooling, and management practices are already designed around distributed work.
Remote AI Engineer Jobs: Frequently Asked Questions
How do I get a remote ai engineer job?
Remote ai engineer roles go to candidates who can demonstrate strong async communication, self-directed work habits, and ownership of end-to-end ML pipelines without daily hand-holding. Remote employers screen hard for written clarity, documentation habits, and proficiency with tools like Git, Docker, and cloud platforms such as AWS or GCP. A public portfolio of shipped models or open-source contributions signals remote readiness far more than a polished resume alone.
Which companies hire remote ai engineers?
Remote ai engineer roles are posted by BV Teck, Revstar, and Bitdeer Technologies and others right now, based on current remote listings on Migrate Mate as of September 2026. Remote-first software companies, distributed fintech teams, and healthtech organizations make up the bulk of employers hiring ai engineers fully remotely.
Can you get a remote ai engineer job with no experience?
Yes, but remote entry-level ai engineer roles are harder to land because employers expect you to troubleshoot and iterate independently from day one. The companies most likely to hire entry-level remote ai engineers are early-stage startups and research-oriented firms willing to invest in growth. A strong GitHub profile, a completed capstone project, or a Kaggle competition result can substitute for formal work history and open the door.
Do you need a degree for remote ai engineer jobs?
Not always. Many remote employers care more about what you have shipped than where you studied, especially at startups and product-led companies hiring distributed teams. Demonstrated skills in Python, PyTorch or TensorFlow, and model deployment, backed by a visible project portfolio, carry real weight alongside or instead of a formal computer science or machine learning degree.
Which industries hire the most remote ai engineers?
The sectors hiring the most remote ai engineers are Technology & Software, Consulting & Professional Services, and Insurance, based on current remote listings on Migrate Mate as of September 2026. These industries rely on distributed engineering teams and build AI-driven products that don't require engineers to be on-site, making remote work a natural fit for the role.
See All 503+ Remote AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote AI Engineer Jobs