Cloud AI Architect Jobs
Cloud AI Architect jobs are open across technology, financial services, healthcare, and defense, from mid-level to principal and staff engineer, with specializations in LLM integration, MLOps platform design, and multi-cloud AI infrastructure. Find a role that fits from the openings below and apply directly.
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None
Job Description:About this role:
We are seeking an Enterprise AI Platform - Agentic AI Safety & Security (Lead Artificial Intelligence Solutions Consultant), as part of the Digital Capabilities team under Digital Technology & Innovation.
In this role, you will define and deliver the governance, control, and enablement layer that allows teams across the enterprise to design, deploy, and operate AI agents safely and at scale in regulated environments. You will lead the Agentic AI Safety and Security strategy within our Enterprise AI Platform, and you will partner closely with platform engineering, cybersecurity, risk/compliance, and application teams to build industry leading capabilities such as agent identity and registry, observability and evaluation, responsible AI and data guardrails, and agent behavior controls. This is a high impact role at the intersection of AI innovation, platform product management, and enterprise transformation establishing the trusted agentic foundation that accelerates time to value while ensuring governance, security, and operational excellence.
In this role, you will:
Lead a team to identify, strategize and execute highly complex Artificial Intelligence initiatives that span a line of business
Recommend business strategy and deliver Artificial Intelligence enabling solutions to solve business challenges
Define and prioritize cases, obtain the required resources and ensure the solutions deliver the intended benefits
Leverage Artificial Intelligence expertise to evaluate technological readiness and resources required to execute the proposed solutions
Make decisions to drive the implementation of Artificial Intelligence initiatives and programs while serving multiple stakeholders
Resolve issues which may arise during development or implementation
Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
Required Qualifications:
5+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
2+ years of experience delivering platform capabilities end to end from discovery and roadmap definition through delivery and adoption with clear success metrics and strong stakeholder alignment
2+ years of hands on experience with cloud platforms such as GCP or Azure, and container orchestration technologies including Docker and Kubernetes/OpenShift
Desired Qualifications:
Experience with agentic AI systems, including planning and routing, tool execution, and multi step workflows, as well as familiarity with common architectural patterns such as retrieval augmented generation (RAG) and orchestrated agent workflows
Familiarity with emerging standards and interoperability patterns for agent to tool and agent to agent connectivity, including concepts similar to MCP style tool integration and A2A communication models
Experience integrating enterprise platforms via APIs and connectors, including designing and operating permission models, identity integration, and secure data access patterns
Experience building developer centric products and platforms, such as registries or marketplaces, SDKs and templates, documentation, onboarding flows, and scalable self service experiences
Understanding of AI governance and risk controls in enterprise environments, including operational guardrails, auditability, compliance considerations, and safe deployment practices
Strong written and verbal communication skills, with the ability to clearly explain complex technical concepts and influence both technical practitioners and business stakeholders
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is [$75 - $80/hourly]. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you’d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
None
Job Description:About this role:
We are seeking an Enterprise AI Platform - Agentic AI Safety & Security (Lead Artificial Intelligence Solutions Consultant), as part of the Digital Capabilities team under Digital Technology & Innovation.
In this role, you will define and deliver the governance, control, and enablement layer that allows teams across the enterprise to design, deploy, and operate AI agents safely and at scale in regulated environments. You will lead the Agentic AI Safety and Security strategy within our Enterprise AI Platform, and you will partner closely with platform engineering, cybersecurity, risk/compliance, and application teams to build industry leading capabilities such as agent identity and registry, observability and evaluation, responsible AI and data guardrails, and agent behavior controls. This is a high impact role at the intersection of AI innovation, platform product management, and enterprise transformation establishing the trusted agentic foundation that accelerates time to value while ensuring governance, security, and operational excellence.
In this role, you will:
Lead a team to identify, strategize and execute highly complex Artificial Intelligence initiatives that span a line of business
Recommend business strategy and deliver Artificial Intelligence enabling solutions to solve business challenges
Define and prioritize cases, obtain the required resources and ensure the solutions deliver the intended benefits
Leverage Artificial Intelligence expertise to evaluate technological readiness and resources required to execute the proposed solutions
Make decisions to drive the implementation of Artificial Intelligence initiatives and programs while serving multiple stakeholders
Resolve issues which may arise during development or implementation
Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
Required Qualifications:
5+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
2+ years of experience delivering platform capabilities end to end from discovery and roadmap definition through delivery and adoption with clear success metrics and strong stakeholder alignment
2+ years of hands on experience with cloud platforms such as GCP or Azure, and container orchestration technologies including Docker and Kubernetes/OpenShift
Desired Qualifications:
Experience with agentic AI systems, including planning and routing, tool execution, and multi step workflows, as well as familiarity with common architectural patterns such as retrieval augmented generation (RAG) and orchestrated agent workflows
Familiarity with emerging standards and interoperability patterns for agent to tool and agent to agent connectivity, including concepts similar to MCP style tool integration and A2A communication models
Experience integrating enterprise platforms via APIs and connectors, including designing and operating permission models, identity integration, and secure data access patterns
Experience building developer centric products and platforms, such as registries or marketplaces, SDKs and templates, documentation, onboarding flows, and scalable self service experiences
Understanding of AI governance and risk controls in enterprise environments, including operational guardrails, auditability, compliance considerations, and safe deployment practices
Strong written and verbal communication skills, with the ability to clearly explain complex technical concepts and influence both technical practitioners and business stakeholders
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is [$75 - $80/hourly]. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you’d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
Cloud AI Architect Jobs by Experience Level
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Find Cloud AI Architect JobsCloud AI Architect Job Market
Who's Hiring
- Booz Allen Hamilton13
- JPMorganChase10
- Microsoft8
- Johns Hopkins University Applied Physics Laboratory8
- University of San Diego6
Top Industries Hiring
- Banking & Financial Services10
- Education8
- Technology & Software8
- Healthcare & Medical Services5
- Investment & Asset Management3
What Employers Look For
The qualifications that appear most often in 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 Cloud AI Architect Job Search
Quantify your AI platform impact
Hiring managers for cloud ai architect roles want to see outcomes, not responsibilities. Replace vague resume lines with metrics that show scale: model latency improvements, cost reductions from optimized inference pipelines, or the number of production workloads you migrated to a managed AI service.
Earn a cloud-provider AI certification
AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, and Azure AI Engineer Associate are the three certifications that appear most frequently in cloud ai architect postings. Holding at least one signals hands-on platform fluency and moves your application past automated filters.
Apply early to roles that fit
Migrate Mate lists cloud ai architect openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by architecture pattern
Search for specific terms like RAG pipeline, vector database, inference optimization, or AI gateway in job descriptions rather than just the title. Cloud ai architect roles vary widely in scope, and matching your application to the architecture pattern a team is building dramatically improves fit.
Prepare a whiteboard architecture walkthrough
Most cloud ai architect interviews include a live design exercise where you architect an end-to-end AI system under constraints. Practice narrating your decisions aloud, covering data ingestion, model serving, observability, and cost guardrails, because interviewers evaluate your reasoning as much as the final design.
Negotiate for infrastructure ownership scope
When evaluating an offer, clarify whether you own the full AI platform stack or operate within a pre-built internal developer platform. Scope of ownership affects your career trajectory and portfolio depth, so confirm it before accepting rather than discovering it on day one.
Cloud AI Architect Jobs: Frequently Asked Questions
Which companies are hiring the most cloud ai architects?
The companies hiring the most cloud ai architects right now include Booz Allen Hamilton, JPMorganChase, and Microsoft, with the largest share of openings in Texas, California, and Virginia, based on current listings on Migrate Mate as of November 2026. Demand is concentrated at large cloud-native technology firms and enterprises undergoing AI platform modernization.
How many cloud ai architect jobs are remote?
About 57% of cloud ai architect openings are fully remote or hybrid as of November 2026, reflecting the infrastructure-as-code nature of the work. Roles focused on platform engineering, MLOps architecture, and AI governance tend to be the most remote-friendly, while positions requiring close collaboration with on-site data science teams more often require in-office presence.
How do you become a cloud ai architect?
Start by building deep proficiency on at least one major cloud provider, then layer in hands-on machine learning engineering experience through real projects or open-source contributions. Earn a recognized cloud AI certification to validate platform skills. Move into roles that give you ownership of production AI infrastructure, and progressively take on cross-functional design responsibilities that combine data pipelines, model serving, and security governance.
Can you get hired as a cloud ai architect without direct experience?
It's possible to break into cloud ai architect roles by transitioning from a strong cloud engineering or data engineering background. Build a portfolio that includes a deployed end-to-end AI application on a public cloud provider, document your architecture decisions, and target mid-market companies where architects wear broader hats. Staff-augmentation contracts and internal transfers from cloud infrastructure roles are common entry points.
What does the cloud ai architect interview process look like?
The process typically runs three to five rounds and includes a recruiter screen, a technical phone interview covering cloud services and ML fundamentals, a live system design session where you architect an AI platform under constraints, and a final panel with engineering leadership and product stakeholders. Some employers add a take-home design exercise or ask you to walk through a past architecture decision and its trade-offs.
Where can I find and apply to cloud ai architect jobs?
You can find and apply to cloud ai architect jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the listings to find roles that match your skills and experience level, then apply directly to each position that fits.
See All 310+ Cloud AI Architect Jobs
Find roles that match your experience and apply in just a few clicks.
Find Cloud AI Architect Jobs