Remote Principal AI Engineer Jobs
Remote Principal AI Engineer jobs are open across the U.S. at remote-first firms and distributed teams in sectors like enterprise software, fintech, and healthcare technology. Employers hiring remotely right now include Genesys, CVS Health, and Ahead. See the openings below and apply to the ones that match your experience.
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Showing 5 of 134+ Remote Principal AI Engineer jobs
Forming Our Future together
FormFactor, Inc. (NASDAQ: FORM), is a leading provider of essential test and measurement technologies along the full semiconductor product life cycle — from characterization, modeling, reliability, and design de-bug, to qualification and production test. Semiconductor companies rely upon FormFactor’s products and services to accelerate profitability by optimizing device performance and advancing yield knowledge. The company serves customers through its network of facilities in Asia, Europe, and North America.
Rooted in our core values — Focus on the Customer, Ownership & Accountability, Respectfully & Effectively Communicate, and Motivate & Develop People — we foster an environment where diverse perspectives are not only welcomed but celebrated. Everyone can make an impact here. Whether it's improving products, supporting customers, or positively influencing peers and the community, the contributions of our people matter.
Shift:
The regular hours for this position are day shift.Job Description:
The Principal IT AI Engineer supports FormFactor's AI, automation, and digital transformation initiatives by designing, developing, deploying, and supporting software solutions that leverage artificial intelligence, workflow automation, enterprise integrations, and advanced analytics.
This is a hands-on software engineering role requiring experience building production applications, developing code, integrating systems, working with APIs, and delivering reliable business solutions. The successful candidate will leverage cloud platforms, enterprise technologies, and approved AI capabilities to improve business processes, productivity, and decision making across the organization.
The role partners with stakeholders across Engineering, Manufacturing, Quality, Supply Chain, Finance, Human Resources, Sales, and IT to understand business needs, translate requirements into technical solutions, and deliver solutions through the full software development lifecycle.
Key Responsibilities:
- Design, develop, deploy, and support AI-enabled applications, automation solutions, integrations, and enterprise software using approved technologies and platforms.
- Partner with business stakeholders and technical teams to identify opportunities for AI, automation, and process improvement and translate requirements into practical technical solutions.
- Independently deliver solutions through the development lifecycle, including requirements, design, development, testing, deployment, documentation, and production support.
- Develop and maintain applications, APIs, integrations, workflows, and data-driven solutions using modern software engineering practices.
- Build AI-enabled solutions using enterprise AI platforms, large language models, and AI-assisted development tools, while validating AI-generated code for quality, security, and production readiness.
- Troubleshoot complex application issues and improve solution reliability, performance, maintainability, and user experience.
- Partner with Architecture, Security, Infrastructure, and Data teams to ensure solutions follow enterprise standards, governance requirements, and responsible AI practices.
- Contribute to reusable development patterns, standards, templates, documentation, and engineering best practices.
- Provide technical guidance to less-experienced developers, citizen developers, and business solution owners as appropriate.
Preferred Qualifications & Experience:
- Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, Engineering, or a related technical discipline, or equivalent practical experience.
- Typically 5+ years of experience in software engineering, application development, automation, AI enablement, analytics, or related technology disciplines.
- Hands-on experience developing, deploying, and supporting production software applications or enterprise solutions.
- Strong programming experience with one or more modern languages such as Java, Python, TypeScript, JavaScript, or C#.
- Experience building and consuming APIs, integrations, and cloud-based services.
- Working knowledge of software engineering practices including source control, testing, code reviews, CI/CD, monitoring, and production support.
- Understanding of secure application development, authentication, authorization, data protection, and application security principles.
- Experience with AI-assisted development tools, generative AI, large language models, or related AI technologies.
- Strong analytical, problem-solving, and stakeholder communication skills.
- Experience supporting global organizations, manufacturing operations, semiconductor, or other high-tech environments preferred.
Preferred Technical Experience:
- AI & Automation: Azure OpenAI, Microsoft Copilot Studio, GitHub Copilot, Power Platform, AI agents, LLMs, prompt engineering, AI-assisted development, and workflow automation.
- Software Development: Java, Python, TypeScript, JavaScript, C#, REST APIs, web application development, object-oriented programming, and software design patterns.
- Cloud & Data Platforms: Microsoft Azure, Azure Functions, Logic Apps, Databricks, SQL Server, cloud-native services, data integration, data pipelines, analytics platforms, and reporting solutions.
- DevOps & Engineering Practices: GitHub, Git, CI/CD pipelines, automated testing, code reviews, source control, application monitoring, deployment automation, and release management.
- Enterprise Applications & Integration: Enterprise application integrations, ERP platforms, workflow orchestration, API development, business intelligence, data visualization, process automation, and digital workplace solutions.
Skills:
AI Integration, AI Platforms, Artificial Intelligence Software, Artificial Intelligence Techniques, Business Analytics, Data ScienceEducation & Experience:
Minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years experience; or equivalent experience | RequiredPay Range:
$109,300.00 - $143,430.00Pay Range Explained:
This role in Lexington, Kentucky pays between $109,300.00 and $143,430.00 per year, depending on your experience, skills, and background. Pay may vary in other locations. We offer a full benefits package, including medical, dental, vision, life insurance, disability coverage, a 401(k) with company match, employee stock purchase plan (ESPP), and paid time off. You’ll also be eligible for quarterly profit-sharing bonuses and flexible spending or savings accounts.Equal Employment Opportunity Statement
FormFactor is an equal opportunity employer. FormFactor complies with all national, state, and local laws that seek to promote equal opportunities for any applicant or employee without regard to age, race, color, gender, gender identity/expression, national origin, sexual orientation, religion, disability, marital status, pregnancy or related condition, military service, or any other legally protected characteristics. These protections apply to all aspects of employment, including but not limited to, recruitment, hiring, training, promotions, and compensation.
For roles that are designated as remote-eligible, employees cannot be located in: AL, AK, AR, DE, GA, HI, IL, IA, LA, ME, MD, MS, MO, NE, NV, NJ, NM, ND, OK, PA, RI, SC, SD, TN, WV, WI, WY. This list is continuously evolving and being updated, please check back with us if the state you live in is on the exclusion list. A role is remote-eligible only when it is listed as "Remote" in the job location.
Forming Our Future together
FormFactor, Inc. (NASDAQ: FORM), is a leading provider of essential test and measurement technologies along the full semiconductor product life cycle — from characterization, modeling, reliability, and design de-bug, to qualification and production test. Semiconductor companies rely upon FormFactor’s products and services to accelerate profitability by optimizing device performance and advancing yield knowledge. The company serves customers through its network of facilities in Asia, Europe, and North America.
Rooted in our core values — Focus on the Customer, Ownership & Accountability, Respectfully & Effectively Communicate, and Motivate & Develop People — we foster an environment where diverse perspectives are not only welcomed but celebrated. Everyone can make an impact here. Whether it's improving products, supporting customers, or positively influencing peers and the community, the contributions of our people matter.
Shift:
The regular hours for this position are day shift.Job Description:
The Principal IT AI Engineer supports FormFactor's AI, automation, and digital transformation initiatives by designing, developing, deploying, and supporting software solutions that leverage artificial intelligence, workflow automation, enterprise integrations, and advanced analytics.
This is a hands-on software engineering role requiring experience building production applications, developing code, integrating systems, working with APIs, and delivering reliable business solutions. The successful candidate will leverage cloud platforms, enterprise technologies, and approved AI capabilities to improve business processes, productivity, and decision making across the organization.
The role partners with stakeholders across Engineering, Manufacturing, Quality, Supply Chain, Finance, Human Resources, Sales, and IT to understand business needs, translate requirements into technical solutions, and deliver solutions through the full software development lifecycle.
Key Responsibilities:
- Design, develop, deploy, and support AI-enabled applications, automation solutions, integrations, and enterprise software using approved technologies and platforms.
- Partner with business stakeholders and technical teams to identify opportunities for AI, automation, and process improvement and translate requirements into practical technical solutions.
- Independently deliver solutions through the development lifecycle, including requirements, design, development, testing, deployment, documentation, and production support.
- Develop and maintain applications, APIs, integrations, workflows, and data-driven solutions using modern software engineering practices.
- Build AI-enabled solutions using enterprise AI platforms, large language models, and AI-assisted development tools, while validating AI-generated code for quality, security, and production readiness.
- Troubleshoot complex application issues and improve solution reliability, performance, maintainability, and user experience.
- Partner with Architecture, Security, Infrastructure, and Data teams to ensure solutions follow enterprise standards, governance requirements, and responsible AI practices.
- Contribute to reusable development patterns, standards, templates, documentation, and engineering best practices.
- Provide technical guidance to less-experienced developers, citizen developers, and business solution owners as appropriate.
Preferred Qualifications & Experience:
- Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, Engineering, or a related technical discipline, or equivalent practical experience.
- Typically 5+ years of experience in software engineering, application development, automation, AI enablement, analytics, or related technology disciplines.
- Hands-on experience developing, deploying, and supporting production software applications or enterprise solutions.
- Strong programming experience with one or more modern languages such as Java, Python, TypeScript, JavaScript, or C#.
- Experience building and consuming APIs, integrations, and cloud-based services.
- Working knowledge of software engineering practices including source control, testing, code reviews, CI/CD, monitoring, and production support.
- Understanding of secure application development, authentication, authorization, data protection, and application security principles.
- Experience with AI-assisted development tools, generative AI, large language models, or related AI technologies.
- Strong analytical, problem-solving, and stakeholder communication skills.
- Experience supporting global organizations, manufacturing operations, semiconductor, or other high-tech environments preferred.
Preferred Technical Experience:
- AI & Automation: Azure OpenAI, Microsoft Copilot Studio, GitHub Copilot, Power Platform, AI agents, LLMs, prompt engineering, AI-assisted development, and workflow automation.
- Software Development: Java, Python, TypeScript, JavaScript, C#, REST APIs, web application development, object-oriented programming, and software design patterns.
- Cloud & Data Platforms: Microsoft Azure, Azure Functions, Logic Apps, Databricks, SQL Server, cloud-native services, data integration, data pipelines, analytics platforms, and reporting solutions.
- DevOps & Engineering Practices: GitHub, Git, CI/CD pipelines, automated testing, code reviews, source control, application monitoring, deployment automation, and release management.
- Enterprise Applications & Integration: Enterprise application integrations, ERP platforms, workflow orchestration, API development, business intelligence, data visualization, process automation, and digital workplace solutions.
Skills:
AI Integration, AI Platforms, Artificial Intelligence Software, Artificial Intelligence Techniques, Business Analytics, Data ScienceEducation & Experience:
Minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years experience; or equivalent experience | RequiredPay Range:
$109,300.00 - $143,430.00Pay Range Explained:
This role in Lexington, Kentucky pays between $109,300.00 and $143,430.00 per year, depending on your experience, skills, and background. Pay may vary in other locations. We offer a full benefits package, including medical, dental, vision, life insurance, disability coverage, a 401(k) with company match, employee stock purchase plan (ESPP), and paid time off. You’ll also be eligible for quarterly profit-sharing bonuses and flexible spending or savings accounts.Equal Employment Opportunity Statement
FormFactor is an equal opportunity employer. FormFactor complies with all national, state, and local laws that seek to promote equal opportunities for any applicant or employee without regard to age, race, color, gender, gender identity/expression, national origin, sexual orientation, religion, disability, marital status, pregnancy or related condition, military service, or any other legally protected characteristics. These protections apply to all aspects of employment, including but not limited to, recruitment, hiring, training, promotions, and compensation.
For roles that are designated as remote-eligible, employees cannot be located in: AL, AK, AR, DE, GA, HI, IL, IA, LA, ME, MD, MS, MO, NE, NV, NJ, NM, ND, OK, PA, RI, SC, SD, TN, WV, WI, WY. This list is continuously evolving and being updated, please check back with us if the state you live in is on the exclusion list. A role is remote-eligible only when it is listed as "Remote" in the job location.
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Who's Hiring
Top Industries Hiring
- Technology & Software13
- Insurance3
- Consulting & Professional Services3
- Renewable Energy2
- Education1
What Employers Look For
The qualifications that appear most often in remote principal AI engineer jobs.
- 8 or more years of experience building and deploying machine learning systems at scale
- Deep expertise in large language models, transformer architectures, or generative AI frameworks
- Proficiency in Python and familiarity with ML infrastructure tools such as Kubernetes and distributed training frameworks
- Demonstrated experience leading technical direction for cross-functional AI or ML teams
- Advanced degree in computer science, machine learning, or a closely related field
- Experience with MLOps practices including model monitoring, versioning, and production deployment pipelines
Tips for Your Remote Principal AI Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote principal 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 at the principal level close fast, so checking current listings regularly gives you a real advantage.
Show async leadership in your application
Remote principal ai engineers are expected to drive technical direction without real-time touchpoints. Document your experience writing architectural decision records, async design reviews, or technical RFCs, and reference these explicitly in your cover note so hiring managers can see how you lead distributed work.
Build a public artifact of your AI work
Remote hiring teams can't assess you in a whiteboard session the way on-site teams can. A well-documented GitHub repo, a published paper, or a detailed technical writeup on a production system gives remote reviewers something concrete to evaluate before your first call.
Prepare for distributed system design interviews
Remote principal ai engineer interviews typically involve deep system design questions conducted over video and shared documents. Practice walking through ML platform architecture, model serving at scale, and data pipeline design using collaborative tools like Excalidraw or Miro so you're fluent in the remote interview format.
Remote Principal AI Engineer Jobs: Frequently Asked Questions
How do I get a remote principal ai engineer job?
Remote principal ai engineer roles go to candidates who can demonstrate deep technical leadership and independent execution without in-person oversight. Remote employers screen for strong written communication, async collaboration habits, and the ability to drive architecture decisions across distributed teams. Practical experience with LLM pipelines, MLOps, and system design gives you the edge, alongside a portfolio or public work that speaks for itself.
Which companies hire remote principal ai engineers?
Employers currently hiring remote principal ai engineers include Genesys, CVS Health, and Ahead, per current remote listings on Migrate Mate as of November 2026. Remote-first software companies, distributed enterprise AI teams, and high-growth fintech and health tech firms are the most consistent sources of these senior remote openings.
Can you get a remote principal ai engineer job with no experience?
Yes, but remote principal-level roles are rarely entry points since remote work demands the self-direction that usually comes from prior experience. That said, some remote-first startups and research-oriented teams do hire earlier-career AI engineers remotely. What opens the door is demonstrated output: open-source contributions, published models, or applied AI projects that show you can deliver without a manager looking over your shoulder.
Do you need a degree for remote principal ai engineer jobs?
Not always. Remote employers at the principal level care far more about what you have shipped than what credentials you hold. A strong GitHub presence, production AI systems, or recognized contributions to the field often carry more weight than a formal degree, though a master's or PhD in machine learning, computer science, or a related field does help in research-heavy roles.
Which industries hire the most remote principal ai engineers?
Most remote principal ai engineer openings sit in Technology & Software, Insurance, and Consulting & Professional Services, per current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed engineering teams where principal ai engineers can own model development and system architecture without being tied to a physical office.
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