Remote AI Solution Architect Jobs
Remote AI Solution Architect jobs are open across the U.S. at remote-first firms, distributed enterprise teams, and cloud-native companies in sectors like software, financial services, healthcare technology, and defense. Employers hiring remotely right now include Carrier, Liberum, and NewRocket. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 12+ Remote AI Solution Architect jobs
About Carrier
Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, lifesaving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow on Carrier social media at @Carrier.
The Data & AI Solution Architect is a senior technology leader responsible for leading the architecture, design, governance, and technical oversight of Carrier's enterprise cloud transformation initiatives, with primary responsibility for the migration of data platforms, analytics workloads, and AI solutions from AWS to Google Cloud Platform (GCP). This role establishes cloud architecture standards, defines target-state roadmaps, creates governance frameworks, and ensures scalable, secure, resilient, and cost-effective solutions across enterprise data, analytics, and AI ecosystems.
The position serves as a trusted advisor to business and technology leadership, guiding engineering teams through cloud modernization efforts, driving adoption of GCP best practices, and enabling long-term platform simplification, operational excellence, and innovation. The architect will collaborate closely with business stakeholders, delivery teams, cloud platform teams, security, and external partners to ensure successful execution of strategic transformation programs.
Key Responsibilities
Cloud Transformation & Architecture Leadership
- Lead the architecture strategy and technical governance for enterprise cloud modernization initiatives
- Define target-state architectures, migration roadmaps, and transition strategies for AWS-to-GCP transformation programs
- Establish enterprise cloud architecture standards, design principles, reference architectures, and reusable pattern
- Drive technology rationalization, platform modernization, and reduction of technical debt across data and analytics ecosystems
- Evaluate emerging cloud technologies and provide architecture recommendations aligned with business objectives
AWS-to-GCP Migration Leadership
- Lead architecture planning and execution for migration of data platforms, data products, analytics workloads, and AI solutions to GCP
- Define migration approaches, landing zones, modernization patterns, and workload transition frameworks
- Guide engineering teams on migration best practices, risk mitigation strategies, and operational readiness
- Ensure successful migration of applications, data pipelines, warehouses, lakehouse platforms, and AI services while minimizing business disruption
- Establish migration governance, review processes, and architecture quality gates.
Data, Analytics & AI Platform Architecture
- Architect scalable and secure data lake, lakehouse, analytics, and AI platforms on GCP
- Define enterprise standards for data integration, batch and streaming pipelines, API enablement, metadata, governance, and data quality
- Guide architecture decisions involving BigQuery, Vertex AI, Dataproc, Dataflow, Pub/Sub, and broader GCP ecosystem services
- Support AI, Machine Learning, Generative AI, and advanced analytics initiatives through scalable platform design and governance
- Enable reusable, AI-ready data products and shared platform capabilities across business units
Architecture Governance & Solution Assurance
- Lead architecture reviews and design governance processes for cloud and data initiatives
- Validate solution designs for scalability, security, reliability, availability, performance, and maintainability
- Establish cloud security, compliance, privacy, and operational standards in partnership with cybersecurity teams
- Drive FinOps practices and cloud cost optimization strategies.
- Ensure alignment with enterprise architecture standards and platform engineering best practices
Stakeholder Engagement & Technical Leadership
- Partner with business, product, engineering, cloud platform, security, and operations teams to align technology strategy with business goals
- Act as the primary architecture advisor for cloud transformation programs and executive stakeholders
- Mentor architects and engineering teams on GCP architecture, cloud-native design, and modernization best practices
- Build organizational capability and establish long-term GCP architecture expertise across the enterprise
Required Qualifications
- Bachelor’s Degree in engineering or technical discipline
- 10+ years of experience in Enterprise Architecture, Solution Architecture, Cloud Architecture, or Data Platform Architecture
Preferred Qualifications
- Master’s degree
- 5+ years designing and delivering large-scale cloud solutions on GCP, AWS, or Azure
- Knowledge of Google Cloud Platform such as BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, Cloud Storage, IAM, VPC, Monitoring
- Experience with Lakehouse Architectures, Data Warehousing, Data Integration, Streaming, Data Governance
- AI & ML: Vertex AI, Machine Learning Platforms, Generative AI, MLOps
- Platform Engineering: Kubernetes, Terraform, CI/CD, DevSecOps, Observability
- Architecture & Governance: Enterprise Architecture, Architecture Review Boards, Reference Architectures, Technology Standards
- Demonstrated success governing large-scale data, analytics, and AI platforms.
- Experience working in global organizations and influencing cross-functional technology teams
Pay Range
The annual salary for this position is between $117,500.00 - $234,500.00 annually. Factors which may affect pay within this range include, but are not limited to, skills, education, experience, and other unique qualifications of the successful candidate. The pay range will not be below the minimum wage applicable to the jurisdiction in which the applicant is to be employed.Other Compensation
This position is entitled to short-term cash incentives, subject to plan requirements.Benefits
Employees are eligible for benefits, including:
Health Care Benefits: Medical, Dental, Vision; Wellness incentives
Retirement Benefits
Time off and Leave: Paid vacation days, up to 15 days; paid sick days, up to 5 days; paid personal leave, up to 5 days; paid holidays, up to 13 days; birth and adoption leave; parental leave; family and medical leave; bereavement leave; jury duty leave; military leave; purchased vacation
Disability: Short-term and long-term disability
Life Insurance and Accidental Death and Dismemberment
Tax-Advantaged Accounts: Health Savings Account; Health Care Spending Account; Dependent Care Spending Account
Tuition Assistance
To learn more about our benefits offering, please click here Work with us | Carrier Corporate. The specific benefits available to any employee may vary depending on state and local laws and eligibility factors, such as date of hire and the applicability of collective bargaining agreements.
Carrier EEO Statement and Accommodations Process
Carrier is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified individuals with a Disability and Protected Veterans in compliance with section 503 of Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
If you require a reasonable accommodation to complete the application process, participate in an interview, or otherwise engage in the hiring process, please contact us at Carrier.Recruiting@carrier.com. We will make every effort to meet your needs in accordance with applicable laws.
Application Deadline
Applications will be accepted for at least 3 days from Job Posting Date: 23 September 2026Job Applicant's Privacy Notice
Please click on the link to review the Job Applicant Privacy Notice.
Use of AI
Technology-enabled tools may support parts of the recruitment process, with oversight by people.
About Carrier
Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, lifesaving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow on Carrier social media at @Carrier.
The Data & AI Solution Architect is a senior technology leader responsible for leading the architecture, design, governance, and technical oversight of Carrier's enterprise cloud transformation initiatives, with primary responsibility for the migration of data platforms, analytics workloads, and AI solutions from AWS to Google Cloud Platform (GCP). This role establishes cloud architecture standards, defines target-state roadmaps, creates governance frameworks, and ensures scalable, secure, resilient, and cost-effective solutions across enterprise data, analytics, and AI ecosystems.
The position serves as a trusted advisor to business and technology leadership, guiding engineering teams through cloud modernization efforts, driving adoption of GCP best practices, and enabling long-term platform simplification, operational excellence, and innovation. The architect will collaborate closely with business stakeholders, delivery teams, cloud platform teams, security, and external partners to ensure successful execution of strategic transformation programs.
Key Responsibilities
Cloud Transformation & Architecture Leadership
- Lead the architecture strategy and technical governance for enterprise cloud modernization initiatives
- Define target-state architectures, migration roadmaps, and transition strategies for AWS-to-GCP transformation programs
- Establish enterprise cloud architecture standards, design principles, reference architectures, and reusable pattern
- Drive technology rationalization, platform modernization, and reduction of technical debt across data and analytics ecosystems
- Evaluate emerging cloud technologies and provide architecture recommendations aligned with business objectives
AWS-to-GCP Migration Leadership
- Lead architecture planning and execution for migration of data platforms, data products, analytics workloads, and AI solutions to GCP
- Define migration approaches, landing zones, modernization patterns, and workload transition frameworks
- Guide engineering teams on migration best practices, risk mitigation strategies, and operational readiness
- Ensure successful migration of applications, data pipelines, warehouses, lakehouse platforms, and AI services while minimizing business disruption
- Establish migration governance, review processes, and architecture quality gates.
Data, Analytics & AI Platform Architecture
- Architect scalable and secure data lake, lakehouse, analytics, and AI platforms on GCP
- Define enterprise standards for data integration, batch and streaming pipelines, API enablement, metadata, governance, and data quality
- Guide architecture decisions involving BigQuery, Vertex AI, Dataproc, Dataflow, Pub/Sub, and broader GCP ecosystem services
- Support AI, Machine Learning, Generative AI, and advanced analytics initiatives through scalable platform design and governance
- Enable reusable, AI-ready data products and shared platform capabilities across business units
Architecture Governance & Solution Assurance
- Lead architecture reviews and design governance processes for cloud and data initiatives
- Validate solution designs for scalability, security, reliability, availability, performance, and maintainability
- Establish cloud security, compliance, privacy, and operational standards in partnership with cybersecurity teams
- Drive FinOps practices and cloud cost optimization strategies.
- Ensure alignment with enterprise architecture standards and platform engineering best practices
Stakeholder Engagement & Technical Leadership
- Partner with business, product, engineering, cloud platform, security, and operations teams to align technology strategy with business goals
- Act as the primary architecture advisor for cloud transformation programs and executive stakeholders
- Mentor architects and engineering teams on GCP architecture, cloud-native design, and modernization best practices
- Build organizational capability and establish long-term GCP architecture expertise across the enterprise
Required Qualifications
- Bachelor’s Degree in engineering or technical discipline
- 10+ years of experience in Enterprise Architecture, Solution Architecture, Cloud Architecture, or Data Platform Architecture
Preferred Qualifications
- Master’s degree
- 5+ years designing and delivering large-scale cloud solutions on GCP, AWS, or Azure
- Knowledge of Google Cloud Platform such as BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, Cloud Storage, IAM, VPC, Monitoring
- Experience with Lakehouse Architectures, Data Warehousing, Data Integration, Streaming, Data Governance
- AI & ML: Vertex AI, Machine Learning Platforms, Generative AI, MLOps
- Platform Engineering: Kubernetes, Terraform, CI/CD, DevSecOps, Observability
- Architecture & Governance: Enterprise Architecture, Architecture Review Boards, Reference Architectures, Technology Standards
- Demonstrated success governing large-scale data, analytics, and AI platforms.
- Experience working in global organizations and influencing cross-functional technology teams
Pay Range
The annual salary for this position is between $117,500.00 - $234,500.00 annually. Factors which may affect pay within this range include, but are not limited to, skills, education, experience, and other unique qualifications of the successful candidate. The pay range will not be below the minimum wage applicable to the jurisdiction in which the applicant is to be employed.Other Compensation
This position is entitled to short-term cash incentives, subject to plan requirements.Benefits
Employees are eligible for benefits, including:
Health Care Benefits: Medical, Dental, Vision; Wellness incentives
Retirement Benefits
Time off and Leave: Paid vacation days, up to 15 days; paid sick days, up to 5 days; paid personal leave, up to 5 days; paid holidays, up to 13 days; birth and adoption leave; parental leave; family and medical leave; bereavement leave; jury duty leave; military leave; purchased vacation
Disability: Short-term and long-term disability
Life Insurance and Accidental Death and Dismemberment
Tax-Advantaged Accounts: Health Savings Account; Health Care Spending Account; Dependent Care Spending Account
Tuition Assistance
To learn more about our benefits offering, please click here Work with us | Carrier Corporate. The specific benefits available to any employee may vary depending on state and local laws and eligibility factors, such as date of hire and the applicability of collective bargaining agreements.
Carrier EEO Statement and Accommodations Process
Carrier is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified individuals with a Disability and Protected Veterans in compliance with section 503 of Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
If you require a reasonable accommodation to complete the application process, participate in an interview, or otherwise engage in the hiring process, please contact us at Carrier.Recruiting@carrier.com. We will make every effort to meet your needs in accordance with applicable laws.
Application Deadline
Applications will be accepted for at least 3 days from Job Posting Date: 23 September 2026Job Applicant's Privacy Notice
Please click on the link to review the Job Applicant Privacy Notice.
Use of AI
Technology-enabled tools may support parts of the recruitment process, with oversight by people.
See All 12 Remote AI Solution Architect Jobs
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Find JobsRemote AI Solution Architect Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote AI solution architect jobs.
- 5 or more years of experience designing and deploying AI or ML solutions at enterprise scale
- Proficiency with cloud AI services on AWS, Azure, or Google Cloud Platform
- Experience with large language models, generative AI frameworks, or foundation model integration
- Strong background in data architecture, including pipelines, feature stores, and model serving infrastructure
- Ability to communicate technical architecture decisions to non-technical executive stakeholders
- Bachelor's or master's degree in computer science, engineering, or a closely related technical field
Tips for Your Remote AI Solution Architect Job Search
Document your AI architecture decisions publicly
Remote employers can't observe your thinking in person, so write up the reasoning behind past AI system designs on GitHub, a personal site, or a shared doc. Architecture decision records and system diagrams do more for a remote application than a resume bullet alone.
Apply early to remote roles that fit
Migrate Mate lists remote ai solution architect openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sorting through mixed location results.
Sharpen your async written communication
Remote ai solution architect interviews often include a written technical assessment or asynchronous design review before any live call. Practice explaining complex AI system trade-offs clearly in writing, since distributed teams depend on async clarity more than verbal persuasion.
Target distributed teams in cloud-heavy sectors
Remote ai solution architect demand concentrates at companies already running distributed engineering on AWS, Azure, or GCP. Search for roles that name specific cloud platforms in the posting, since those teams are built to onboard and support remote architects from the start.
Remote AI Solution Architect Jobs: Frequently Asked Questions
How do I get a remote ai solution architect job?
Target companies that already run distributed engineering teams, since they have the tooling and culture for remote ai solution architects to operate effectively from day one. Remote hiring managers screen heavily for async written communication, self-directed project management, and hands-on fluency with cloud platforms like AWS, Azure, or GCP. Demonstrating real deployed AI solutions, clear architecture documentation, and experience working across time zones gives you a concrete edge over candidates without remote work history.
Which companies hire remote ai solution architects?
Remote ai solution architect roles are posted by Carrier, Liberum, and NewRocket and others right now, based on current remote listings on Migrate Mate as of September 2026. Remote-first software companies, distributed cloud consultancies, and enterprise technology teams across fintech, healthtech, and defense sectors are among the most active employers for this role.
Can you get a remote ai solution architect job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently without on-site guidance from day one. Cloud-native startups and smaller distributed teams are more open to early-career candidates. A portfolio of deployed AI projects, open-source contributions, and documented architecture decisions signals readiness when a resume shows limited professional experience.
Do you need a degree for remote ai solution architect jobs?
Not always. Many remote employers prioritize demonstrated technical ability over formal credentials, especially for senior-level ai solution architect roles where a portfolio of real solutions carries more weight. Cloud certifications from AWS, Azure, or Google Cloud, combined with verifiable project outcomes and strong written communication skills, can substitute for or reinforce a traditional degree in remote hiring decisions.
Which industries hire the most remote ai solution architects?
The sectors hiring the most remote ai solution architects are Technology & Software, based on current remote listings on Migrate Mate as of September 2026. These industries rely on distributed engineering and data teams that need ai solution architects who can collaborate across locations and time zones without requiring on-site presence.
See All 12 Remote AI Solution Architect Jobs
Find roles that match your experience and apply in just a few clicks.
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