Cloud AI Architect Jobs in North Carolina
Cloud AI Architect jobs in North Carolina are in strong and growing demand, concentrated in financial services, life sciences, and enterprise technology, with openings from early-career cloud engineers stepping into architecture roles through seasoned principal architects. The heaviest hiring is in Charlotte, Raleigh, and Durham, where employers like Bank of America, Lenovo, and Red Hat have deep and lasting engineering footprints. The most sought-after specialties are generative AI platform design, MLOps infrastructure, and multi-cloud governance. Find a role that fits below and apply directly.
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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.
See All 11 Cloud AI Architect Jobs in North Carolina
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Find Cloud AI Architect JobsCloud AI Architect Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
Cloud AI Architect Job Market in North Carolina
A snapshot from current North Carolina openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
What North Carolina Employers Look For
The qualifications that appear most often in cloud AI architect jobs across North Carolina.
- Bachelor's or master's degree in computer science, engineering, or a closely related field
- Hands-on experience designing and deploying AI workloads on AWS, Azure, or Google Cloud
- Professional cloud certification such as AWS Solutions Architect, Google Professional Cloud Architect, or Azure Solutions Architect Expert
- Demonstrated ability to architect MLOps pipelines and integrate large language models into enterprise systems
- Experience with cloud security frameworks, compliance standards, and data governance in regulated industries
- Strong communication skills for translating complex cloud AI designs to business and executive stakeholders
Cloud AI Architect Jobs in North Carolina: Frequently Asked Questions
How do you become a cloud ai architect in North Carolina?
Cloud ai architect is not a state-licensed profession in North Carolina, so there is no board exam or registration required to practice. The typical path starts with a degree in computer science, information systems, or engineering, followed by hands-on cloud engineering roles. From there, earning a vendor-recognized professional certification, such as the AWS Solutions Architect Professional or Google Professional Cloud Architect, is the qualification North Carolina employers most consistently require before moving someone into an architect-level role.
Which companies hire cloud ai architects in North Carolina?
Employers hiring cloud ai architects in North Carolina right now include Alliance Health Plan, Rivet, and NTT DATA, based on current listings on Migrate Mate as of November 2026. North Carolina's concentration of financial services headquarters in Charlotte and major tech and life sciences employers in the Research Triangle means demand is spread across regulated industries where cloud AI governance and compliance architecture are especially valued.
Which North Carolina cities have the most cloud ai architect jobs?
Charlotte, Morrisville, and Wilson account for the largest share of cloud ai architect openings in North Carolina. Charlotte drives demand through its dense cluster of financial institutions and fintech operations, while Raleigh and Durham benefit from the Research Triangle's concentration of enterprise technology firms, pharmaceutical companies, and university-affiliated research institutions that rely heavily on cloud AI infrastructure.
Are there remote cloud ai architect jobs in North Carolina?
Yes, and more than most fields. Cloud ai architecture is inherently a desk-based, platform-level discipline, making it well suited to remote and hybrid arrangements. About 80% of cloud ai architect openings tied to North Carolina are remote or hybrid as of November 2026, which is consistent with the broader enterprise technology sector. The design, governance, and strategy work tends to be the most remote-friendly, while roles involving on-site stakeholder workshops or regulated data environments often require some in-office presence.
How can I get hired as a cloud ai architect in North Carolina with little or no experience?
The most realistic entry path is starting as a cloud engineer or cloud infrastructure associate, then building toward architecture through certifications and project scope. Large North Carolina employers in the Research Triangle and Charlotte regularly hire into cloud engineering rotational or associate programs that develop skills across AI and data platforms. Getting an associate-level certification on AWS or Azure, contributing to open-source MLOps projects, and targeting roles at mid-size managed service providers in the Raleigh-Durham area that work across multiple industries gives early-career candidates the breadth needed to move into architecture within a few years.
Where can I find and apply to cloud ai architect jobs in North Carolina?
You can find and apply to cloud ai architect jobs in North Carolina on Migrate Mate, which lists current openings tied to North Carolina employers and locations. Find roles that fit your experience and specialization and apply directly through each listing.
See All 11 Cloud AI Architect Jobs in North Carolina
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