Remote AI Engineer Jobs
Remote AI Engineer jobs are available nationwide at employers like CVS Health, Meridial, and Accenture and other distributed teams, at every experience level. Find a role that fits below and apply directly.
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Are you interested in being part of an innovative team that supports Westinghouse’s mission to provide clean energy solutions? At Westinghouse, we recognize that our employees are our most valuable asset and we seek to identify, attract and recruit the most qualified talent while recognizing and encouraging the value of diversity in the global workplace.
ABOUT THE ROLE
As an AI Security Manager, you will lead an international team responsible for securing Westinghouse's AI platforms, AI-enabled digital solutions, data architecture, data fabric, and core data services. You will establish secure AI architecture standards and governance practices across the AI lifecycle. It will also establish risk assessment processes and operational controls, covering data pipelines, model development, integration patterns, inference services, monitoring, and cloud infrastructure. The AI Security Manager will work with Digital & Innovation, Information Technology, cybersecurity, product, and business leaders. This collaboration will ensure AI solutions are scalable, secure, reliable, and aligned with enterprise priorities, including Asset Management, Work Management, and Business Process Optimization.
You will report to the Director, AI Data Infrastructure and work remotely.
KEY RESPONSIBILITIES
Assume responsibility for the security of the AI platforms, systems and required tooling to ensure Westinghouse AI solutions.
We will achieve this responsibility through:
- Design end-to-end AI/ML security architectures (data, models, inference layers)
- Lead threat modeling and risk assessments for AI systems
- Implement AI security controls, monitoring, and guardrails
- Build and operationalize AI security controls
- Secure AI pipelines, models, and data
- Lead teams across engineering and risk
- Partner with CISOs and business leaders on AI security strategy
- Align AI security controls with industry frameworks (e.g., NIST, ISO/IEC 27001) and organizational risk tolerance
- Train teams on secure AI practices, including secure coding, MLOps hygiene, and cloud security
- Monitor and respond to AI-driven threats using advanced analytics and cloud-native security tools
- Develop AI-powered security solutions to detect cyber threats, including AI-powered malware and automated social engineering
- Establish and maintain strategic partnerships with leaders in AI to increase capability of the Westinghouse digital products and use for staff augmentation
- Promote research and development that aligns with the Westinghouse strategy and digital roadmaps to address technology gaps to achieve the desired end state
- Forecast new technology needs based on an evolving technology landscape and promoting to leadership steering committees to obtain approval to integrate into the Westinghouse digital services
QUALIFICATIONS
- B.S. degree in information security, computer science, data science, industrial engineering, statistics or equivalent
- We prefer a Master's Degree in Business Administration.
- 10+ years of experience in business, operations or consultation services with progression and complexity
- Professional Certifications: CISSP, GCIH, CSSP, and CISM helpful
- Technical knowledge of data management, data architecture, cloud platforms/infrastructure, and AI/ML architecture (including MLOps) to ensure scalable digital solutions
We are committed to transparency and equity in all of our people practices. The base salary range for this position, which is dependent upon experience, qualifications and skills, is estimated to be $130,400 to $163,000 per year.
LI-Remote
WHY WESTINGHOUSE?
Our benefits package is tailored to meet the diverse needs of our employees, while also promoting wellness and career growth. The following are representative of what we offer:
- Comprehensive Medical benefits which could include medical, dental, vision, prescription coverage and Health Savings Account (HSA) with employer contributions options
- Wellness Programs designed to support employees in maintaining their health and well-being including Employee Assistance Program providing support for our employees and their household members
- 401(k) with Company Match Contributions to support employees' retirement
- Paid Vacations and Company Holidays
- Opportunities for Flexible Work Arrangements to promote work-life balance
- Educational Reimbursement and Comprehensive Career Programs to help employees grow in their careers
- Global Recognition and Service Programs to celebrate employee accomplishments and service
- Employee Referral Program
Westinghouse Electric Company is the global nuclear energy industry's first choice for safe, clean, and efficient energy solutions. We enable our delivery of this vision by living our value system:
- Safety and Quality
- Integrity and Trust
- Customer Focus and Innovation
- Speed and Passion to Win
- Teamwork and Accountability
While our Global Headquarters are located in Cranberry Township, PA, we have over 11,000 employees working at locations in 19 different countries. You can learn more by visiting http://www.westinghousenuclear.com.
Westinghouse is an Equal Opportunity Employer including Veterans and Individuals with Disabilities.
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Find Remote AI Engineer JobsRemote AI Engineer Job Market
Who's Hiring
- CVS Health106

- Meridial27M
- Accenture27

- Alvarez & Marsal23

- Humana14

Top Industries Hiring
- Technology & Software288
- Healthcare & Medical Services144
- Consulting & Professional Services95
- Insurance49
- Investment & Asset Management31
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
Tailor your resume to each stack
AI engineer job listings vary sharply by stack. A role focused on LLM fine-tuning calls out different tools than one built around real-time inference pipelines. Match your resume's skills section to the exact frameworks each posting names, whether that's PyTorch, JAX, or Ray.
Show models you shipped, not studied
Hiring managers scan for production signals: a model you deployed, latency you reduced, an evaluation benchmark you improved. Link to a GitHub repo, a paper, or a write-up that shows the problem, your approach, and a measurable result. Side projects count if they ran in production.
Apply early to roles that fit
Migrate Mate lists ai engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by your ML domain
Generalist AI engineer titles often hide very narrow scopes: recommendation systems, speech models, or safety and alignment work. Read the responsibilities section, not just the title, to confirm the role sits in your area before you spend time on a tailored application.
Prepare for a system design round
Most senior ai engineer loops include an ML system design interview separate from coding. Practice scoping a training pipeline or an inference architecture end to end: data ingestion, feature engineering, model serving, and monitoring. Talk through tradeoffs explicitly rather than converging on one solution immediately.
Negotiate on compute and data access
Compensation for ai engineers often includes non-salary levers that matter for your work: GPU budget, access to proprietary datasets, and time allocated to research. Ask about these during the offer stage alongside equity and base, especially at startups where infrastructure budgets vary widely.
Remote AI Engineer Jobs: Frequently Asked Questions
How do I get a remote AI engineer job?
Target companies that already run distributed teams, since they hire remotely by default and know how to onboard someone they never meet in person. Remote AI engineer employers screen hard for self-direction and clear written communication on top of the core skills, so show evidence you can own work without someone over your shoulder. Apply to the openings above that match your experience.
Which companies hire remote AI engineers?
Remote AI engineer roles are posted by CVS Health, Meridial, and Accenture and others right now, based on current remote listings on Migrate Mate as of June 2026. Remote-first firms and large companies running distributed teams post the most remote AI engineer roles.
Can you get a remote AI engineer job with no experience?
Yes, but it is harder than an on-site role, because remote work expects you to operate independently from the start. Entry-level remote AI engineer openings do exist, especially at remote-first companies, and a portfolio of real work helps more than a long resume. Applying broadly to the roles that fit improves your odds.
Do you need a degree for remote AI engineer jobs?
Not always. Many employers hire remote AI engineers on demonstrated skills and prior work rather than a specific degree, though some larger companies still prefer one. Showing relevant results matters more than a credential for most remote AI engineer roles.
Which industries hire the most remote AI engineers?
The sectors hiring the most remote AI engineers are Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, based on current remote listings on Migrate Mate as of June 2026. These sectors run distributed teams and hire AI engineers remotely most consistently.
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