Remote Cloud AI Architect Jobs
Remote Cloud AI Architect jobs are in strong demand across the U.S., with remote-first firms and distributed engineering teams actively hiring for this role in technology, financial services, and healthcare. Employers hiring remotely right now include BlackRock, Enlyte, and Gartner. See the openings below and apply to the ones that match your experience.
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Location: Remote; travel may be required in support of meetings, training, presentations, or briefings with project stakeholders
Required Clearance: Ability to obtain and maintain the required VA background investigation/suitability determination
Certifications: Certification in one or more of the following: IAT III, IAM III or IASAE III certifications. IAT III/ IAM III / IASAE III certifications may be substituted for a relevant Bachelor’s degree or 4 years of relevant experience
Required Education: Master’s degree in Artificial Intelligence, Business Administration, Business Management, Cybersecurity, Computer Science, Information Systems, Information Assurance, Information Security, Information Resource Management, or related fields.
Required Experience: Minimum of 10 years of experience in relevant fields including IT security, data science, or software engineering, of which at least 5 years involve the design, development, or deployment of AI or machine learning systems in enterprise or Government environments A PhD in a related field (IT security, data science, or software engineering) may substitute for up to 5 years of the required experience
Description
PingWind is seeking a highly skilled and experienced Artificial Intelligence Engineer to join our dynamic team supporting a large Federal Government client. Apply AI, machine learning, data science, and software engineering expertise to develop and deploy secure AI/ML solutions for complex enterprise environments. The AI Engineer will help our government client responsibly integrate AI capabilities into enterprise security engineering and mission workflows.
Responsibilities
- Design, develop, train, test, and deploy AI/ML models and solutions.
- Collect, clean, analyze, and prepare datasets for AI/ML modeling.
- Identify AI-enabled automation opportunities that reduce manual effort and review cycles.
- Evaluate AI/ML solutions for performance, security, reliability, and enterprise suitability.
- Collaborate with data scientists, developers, cybersecurity engineers, architects, and domain experts.
- Document models, testing results, risks, controls, and technical recommendations.
- Apply AI/ML capabilities to enterprise security engineering, testing, and analysis.
Requirements
- Ability to obtain and maintain required VA background investigation/suitability and system access.
- Demonstrated experience building, training, and deploying AI/ML models in production environments.
- Experience applying AI solutions within large enterprise or Government environments.
Preferred Qualifications
- Federal/VA AI experience.
- MLOps and AI lifecycle experience.
- Responsible AI, model governance, or AI security experience.
PingWind has extensive experience in the fields of cybersecurity, development, IT infrastructure, supply chain management and other professional services such as system design and continuous improvement. PingWind is an SDVOSB with offices in Northern Virginia and Huntsville AL. www.PingWind.com
Our benefits include:
- Eleven Federal Holidays
- Paid Time Off accrued each pay period
- Parental Leave
- Three medical plan choices with generous employer contribution
- Dental and Vision Insurance
- Company paid Short-Term and Long-Term Disability
- Company paid Life and AD&D Insurance
- 401k with competitive matching and vesting schedule
- Continuing education assistance
- Short Term / Long Term Disability & Life Insurance
- Medical, Dependent Care and Commuter Flexible Spending Accounts
- Employee Assistance Program
- Wellness benefits include Calm Health app and WellHub gym subsidy (formerly GymPass)
- 529 College Savings Plan
- Legal Insurance
- Pet Insurance
Salary Range
121K - 169K
The pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) job responsibilities, education, certifications, experience, as well as internal equity mapping and alignment with market data, or other applicable laws.
Veterans are encouraged to apply
PingWind, Inc. does not discriminate in employment opportunities, terms, and conditions of employment, or practices on the basis of race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, or any characteristic protected by law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Who's Hiring



Top Industries Hiring
- Technology & Software
- Education
- Insurance
- Automotive
What Employers Look For
The qualifications that appear most often in remote cloud AI architect jobs.
- Five or more years of hands-on experience designing production cloud infrastructure on AWS, Azure, or Google Cloud
- Demonstrated experience building and deploying machine learning or generative AI workloads at enterprise scale
- Proficiency with MLOps tooling such as Kubeflow, MLflow, Vertex AI Pipelines, or SageMaker Pipelines
- Strong programming skills in Python and familiarity with model serving frameworks like TensorFlow Serving, TorchServe, or Triton
- Experience with containerization and orchestration using Docker and Kubernetes in a cloud-native environment
- Bachelor's degree in computer science, engineering, or a related technical field, or equivalent professional experience
Tips for Your Remote Cloud AI Architect Job Search
Apply early to remote roles that fit
Migrate Mate lists remote cloud ai architect openings from across the U.S. in one place. Check it regularly and apply directly to roles that match your cloud platform experience and AI infrastructure background before postings fill.
Show your async communication skills upfront
Remote employers screen cloud ai architects for written clarity as much as technical depth. Include architecture decision records, design docs, or concise technical write-ups in your portfolio so hiring managers can see how you communicate complex tradeoffs without a whiteboard.
Prove self-direction with documented remote projects
Remote teams need architects who drive work independently. Highlight projects where you scoped, designed, and delivered AI or cloud infrastructure with minimal supervision, naming the tools you used, such as Terraform, Kubernetes, or MLflow, and the outcomes you achieved.
Prepare for remote architecture interviews early
Remote cloud ai architect interviews often use collaborative diagramming tools like Miro or Lucidchart instead of a whiteboard. Practice designing AI pipelines and cloud architectures in those tools so you can articulate tradeoffs clearly on screen during a live session.
Remote Cloud AI Architect Jobs: Frequently Asked Questions
How do I get a remote cloud ai architect job?
Target remote-first companies and distributed product teams, which hire cloud ai architects without requiring on-site presence. Remote employers screen hard for self-direction, clear async written communication, and hands-on fluency with cloud platforms like AWS, Azure, or GCP combined with ML infrastructure experience. Documenting your architecture decisions in public repos, design docs, or case studies gives you a concrete edge over candidates with similar technical skills.
Which companies hire remote cloud ai architects?
Companies hiring remote cloud ai architects right now include BlackRock, Enlyte, and Gartner, based on current remote listings on Migrate Mate as of September 2026. Remote openings for this role concentrate at remote-first technology firms, cloud-native SaaS companies, and distributed teams in financial services and healthcare that need AI infrastructure built and scaled without a centralized office.
Can you get a remote cloud ai architect job with no experience?
Yes, but remote entry roles are harder to land because you're expected to work independently from day one without in-office guidance. Remote-first startups and smaller cloud consultancies are the most realistic entry points. Showing a portfolio of personal or open-source cloud and AI projects, cloud certifications from AWS or Google, and clear written technical communication can substitute for direct professional experience when applying remotely.
Do you need a degree for remote cloud ai architect jobs?
Not always. Remote employers hiring cloud ai architects weigh demonstrable cloud and AI skills, architecture experience, and verifiable project outcomes heavily alongside or instead of a formal degree. Certifications like AWS Solutions Architect Professional or Google Professional Cloud Architect carry real weight, and a portfolio showing end-to-end AI system design often matters more than your educational credentials to distributed hiring teams.
Which industries hire the most remote cloud ai architects?
Most remote cloud ai architect openings sit in Technology & Software, Education, and Insurance, per current remote listings on Migrate Mate as of September 2026. These sectors rely on distributed engineering teams building and scaling AI systems across geographies, making remote cloud ai architects a practical and common hire rather than an exception.
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