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Remote Ai Infrastructure Engineer Jobs in Michigan

AI Security Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Strong understanding of cloud security and modern infrastructure controls. * Excellent written and ...

AI Data Engineer

Troy, MI · Remote

$100K/mo

AI Data Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Open-source contributions to data infrastructure projects. * Experience supporting frontier model ...

Civil Engineer - AI Trainer

Detroit, MI · On-site +1

$70 - $80/hr

Remote Role Responsibilities * Construct civil engineering scenarios for large-scale infrastructure ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

Senior AI Engineer (US Remote)

Three Rivers, MI · Remote

$180K - $210K/yr

  • Medical

  • Dental

  • Retirement

As a senior member of our AI engineering team, you'll provide technical leadership, mentor ... REMOTE Basic Requirements * 8+ years experience in software development * AND 2+ years with AI ...

... remote and office presence as needed. - Opportunity to learn from senior engineers and grow into more advanced AI engineering responsibilities. - Career growth in AI engineering, application ...

$93K - $122K/yr

... remote and office presence as needed. -Opportunity to define technical direction, architecture, and standards for scalable enterprise AI solutions. -Ability to mentor engineers and influence how AI ...

  • PTO

Our Applied AI organization is a fast-moving, dedicated group of Forward Deployed Engineers (FDEs ... Analyze and support go-to-market operational alignment with major AI infrastructure and ecosystem ...

A hybrid role based in Obispado, Monterrey, with most work expected to be remote and office ... Ability to mentor engineers and influence how AI is adopted and scaled across the organization.

AI Engineer

Birmingham, MI · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits Offered ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

Senior Software Engineer, DevOps

Ann Arbor, MI · On-site +1

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... existing energy infrastructure. For over a decade, we have applied AI to the electric grid ... remote work. Our Commitments: Utilidata values the diversity of our team. We provide equal ...

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Showing results 1-20

Remote Ai Infrastructure Engineer information

What is a remote AI infrastructure engineer?

A Remote AI Infrastructure Engineer is a professional who designs, builds, and maintains the systems and tools necessary to support artificial intelligence (AI) projects, all while working remotely. Their responsibilities often include developing and optimizing cloud or on-premise infrastructure, ensuring scalability, managing data pipelines, and supporting machine learning workflows. They work closely with data scientists and software engineers to ensure AI models can be efficiently trained, deployed, and monitored in production environments. The remote aspect allows them to perform these tasks from anywhere, using collaboration tools and cloud platforms.

What are the key skills and qualifications needed to thrive as a remote AI infrastructure engineer?

To thrive as a Remote AI Infrastructure Engineer, you need expertise in cloud computing, distributed systems, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, along with knowledge of CI/CD pipelines and AI/ML frameworks. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in this role. These skills ensure robust, scalable AI infrastructure that supports rapid innovation and seamless collaboration across distributed teams.

What are some common challenges faced by remote AI infrastructure engineers, and how can they be addressed?

Remote AI Infrastructure Engineers often encounter challenges such as managing distributed systems, ensuring robust data pipelines, and maintaining high system reliability across different time zones. Collaboration with cross-functional teams can require clear communication and effective use of remote tools. To address these challenges, it's important to establish strong documentation practices, schedule regular check-ins, and utilize automated monitoring and deployment solutions. Staying proactive and adaptable helps ensure seamless infrastructure performance and team alignment.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Michigan?

The most popular types of Ai Infrastructure Engineer jobs in Michigan are:

What are popular job titles related to Remote Ai Infrastructure Engineer jobs in Michigan?

For Remote Ai Infrastructure Engineer jobs in Michigan, the most frequently searched job titles are:

What cities in Michigan are hiring for Remote Ai Infrastructure Engineer jobs?

Cities in Michigan with the most Remote Ai Infrastructure Engineer job openings:

$105K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

AI Security Engineer – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: AI Security Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $80,000–$105,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
We are seeking an AI Security Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities specifically tailored to AI and machine learning systems. The role addresses the unique security challenges posed by LLMs, model APIs, training data pipelines, and AI-powered applications, including prompt injection, model abuse, data exfiltration, and supply chain risks. The ideal candidate has strong security engineering fundamentals and a deep understanding of how modern AI systems work in practice, with hands-on experience designing defenses for both AI-powered applications and the AI infrastructure that supports them.
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related discipline.
  • Six or more years of security engineering experience, including significant work on AI or ML systems.
  • Strong understanding of LLM internals, modern AI architectures, and common failure modes.
  • Hands-on experience designing security controls for AI-powered applications.
  • Deep knowledge of application security, identity, and cryptography fundamentals.
  • Experience with threat modeling and security architecture review processes.
  • Familiarity with adversarial ML, prompt injection, and model abuse research.
  • Proficiency in Python and at least one systems language.
  • Strong understanding of cloud security and modern infrastructure controls.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Publications, talks, or CTF participation in AI security topics.
  • Experience with red-teaming LLM-based products.
  • Familiarity with privacy-preserving ML techniques such as differential privacy.
  • Exposure to regulated industries with strict data handling requirements.
  • Open-source contributions to AI security tooling.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.