Cloud Engineer Jobs at NTT DATA with Visa Sponsorship
Cloud Engineer jobs at NTT DATA span infrastructure, hybrid cloud, and managed services work. The company has an established sponsorship process for this function and works with candidates on H-1B visa, E-3 visa, OPT, and other work authorization pathways from offer through filing.
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Get Access To All JobsINTRODUCTION
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Cloud Agentic AI Platform Engineer / Architect to join our team in Charlotte, North Carolina (US-NC), United States (US).
We are seeking a hands-on Cloud Agentic AI Platform Engineer / Architect to design, build, and scale enterprise-grade Agentic AI platforms that enable intelligent automation, autonomous workflows, and AI-powered business solutions across the organization.
This role is responsible for defining and implementing the foundational platform capabilities that support AI agents, including agent runtimes, orchestration frameworks, developer tooling, platform services, observability, governance, and scalable cloud infrastructure. The ideal candidate combines deep expertise in AI platform engineering, cloud-native architectures, distributed systems, and modern Agentic AI ecosystems to create reusable, production-ready capabilities that accelerate AI adoption across application teams.
BASIC QUALIFICATIONS
- 10+ years of software engineering, cloud platform engineering, or platform architecture experience.
- 5+ years leading large-scale cloud-native platform initiatives.
- 5+ years experience designing and delivering production-grade AI, GenAI, or Agentic AI platforms at enterprise scale.
- 5+ years strong experience designing and building enterprise-scale Agentic AI platforms, including agent runtimes, orchestration engines, developer frameworks, and platform services.
- 5+ years of expertise in cloud-native architecture, Kubernetes/OpenShift, microservices, APIs, event-driven systems, and scalable distributed platforms.
- 5+ years of hands-on experience with hyperscaler Agentic AI offerings such as: Google ADK / Agent Engine, Vertex AI, Azure AI Foundry, AWS Bedrock Agents, MCP ecosystems.
- 5+ years of deep understanding of: LLMs, Reasoning models, Tool calling, Agent frameworks, RAG architectures, Model evaluation, Prompt engineering, Inference optimization.
- 5+ years of experience building reusable SDKs, developer platforms, low-code/no-code solutions, workflow automation capabilities, and self-service experiences.
- 5+ years of strong DevOps and Platform Engineering expertise, including: CI/CD, GitOps, Terraform, Containerization, Release automation, Monitoring and observability.
- Production operations.
- 5+ years of experience with distributed data technologies including: MongoDB, Redis, Vector databases, Caching platforms, Session state management, High-performance AI data access patterns.
- 5+ years of knowledge of AI platform governance, observability, security, guardrails, identity management, resiliency, and enterprise production operations.
- 5+ years of strong software engineering skills in Python and/or Java.
- 5+ years of demonstrated experience leading architecture, technical design, and engineering decisions for complex enterprise platforms.
PREFERRED QUALIFICATIONS
- Experience building enterprise Agentic AI platforms in regulated environments.
- Knowledge of multi-agent architectures and autonomous workflow systems.
- Experience deploying and operating AI solutions across multi-cloud environments.
- Familiarity with enterprise AI governance frameworks and responsible AI practices.
- Experience building internal developer platforms and platform-as-a-product initiatives.
- Exposure to MLOps, LLMOps, and AI lifecycle management tools and processes.
COMPENSATION
- The starting pay range for this remote role is $102,675.00 to $175,125.00. This range reflects the minimum and maximum target compensation for the position across all US locations.
Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
BENEFITS
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and ADD insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.
LI-NorthAmerica
ABOUT NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form.
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.
INTRODUCTION
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Cloud Agentic AI Platform Engineer / Architect to join our team in Charlotte, North Carolina (US-NC), United States (US).
We are seeking a hands-on Cloud Agentic AI Platform Engineer / Architect to design, build, and scale enterprise-grade Agentic AI platforms that enable intelligent automation, autonomous workflows, and AI-powered business solutions across the organization.
This role is responsible for defining and implementing the foundational platform capabilities that support AI agents, including agent runtimes, orchestration frameworks, developer tooling, platform services, observability, governance, and scalable cloud infrastructure. The ideal candidate combines deep expertise in AI platform engineering, cloud-native architectures, distributed systems, and modern Agentic AI ecosystems to create reusable, production-ready capabilities that accelerate AI adoption across application teams.
BASIC QUALIFICATIONS
- 10+ years of software engineering, cloud platform engineering, or platform architecture experience.
- 5+ years leading large-scale cloud-native platform initiatives.
- 5+ years experience designing and delivering production-grade AI, GenAI, or Agentic AI platforms at enterprise scale.
- 5+ years strong experience designing and building enterprise-scale Agentic AI platforms, including agent runtimes, orchestration engines, developer frameworks, and platform services.
- 5+ years of expertise in cloud-native architecture, Kubernetes/OpenShift, microservices, APIs, event-driven systems, and scalable distributed platforms.
- 5+ years of hands-on experience with hyperscaler Agentic AI offerings such as: Google ADK / Agent Engine, Vertex AI, Azure AI Foundry, AWS Bedrock Agents, MCP ecosystems.
- 5+ years of deep understanding of: LLMs, Reasoning models, Tool calling, Agent frameworks, RAG architectures, Model evaluation, Prompt engineering, Inference optimization.
- 5+ years of experience building reusable SDKs, developer platforms, low-code/no-code solutions, workflow automation capabilities, and self-service experiences.
- 5+ years of strong DevOps and Platform Engineering expertise, including: CI/CD, GitOps, Terraform, Containerization, Release automation, Monitoring and observability.
- Production operations.
- 5+ years of experience with distributed data technologies including: MongoDB, Redis, Vector databases, Caching platforms, Session state management, High-performance AI data access patterns.
- 5+ years of knowledge of AI platform governance, observability, security, guardrails, identity management, resiliency, and enterprise production operations.
- 5+ years of strong software engineering skills in Python and/or Java.
- 5+ years of demonstrated experience leading architecture, technical design, and engineering decisions for complex enterprise platforms.
PREFERRED QUALIFICATIONS
- Experience building enterprise Agentic AI platforms in regulated environments.
- Knowledge of multi-agent architectures and autonomous workflow systems.
- Experience deploying and operating AI solutions across multi-cloud environments.
- Familiarity with enterprise AI governance frameworks and responsible AI practices.
- Experience building internal developer platforms and platform-as-a-product initiatives.
- Exposure to MLOps, LLMOps, and AI lifecycle management tools and processes.
COMPENSATION
- The starting pay range for this remote role is $102,675.00 to $175,125.00. This range reflects the minimum and maximum target compensation for the position across all US locations.
Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
BENEFITS
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and ADD insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.
LI-NorthAmerica
ABOUT NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form.
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 54+ Cloud Engineer Jobs at NTT DATA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Cloud Engineer Jobs at NTT DATA.
Get Access To All JobsTips for Finding Cloud Engineer Jobs at NTT DATA
Align your cloud certifications to NTT DATA's stack
NTT DATA's Cloud Engineer roles frequently require hands-on experience with AWS, Azure, or Google Cloud. Holding an active certification in one of these platforms signals job-ready skills and strengthens your petition when the employer documents specialty occupation requirements.
Target managed services and infrastructure teams directly
NTT DATA's managed services division generates consistent Cloud Engineer headcount. Filtering your applications to infrastructure, hybrid cloud, and network modernization teams puts you in front of hiring managers with recurring sponsorship needs rather than project-based roles with uncertain timelines.
Confirm sponsorship scope before the offer stage
Some Cloud Engineer roles at NTT DATA are on client-site contracts where sponsorship eligibility can depend on the end client's requirements. Ask HR whether the specific role supports H-1B or E-3 sponsorship before investing in the interview process.
Time your OPT application to allow buffer
If you're on F-1 OPT, USCIS recommends applying at least 90 days before your program end date. For Cloud Engineer roles at a large employer like NTT DATA, build in additional time for internal HR and E-Verify enrollment steps that run parallel to your USCIS filing.
Prepare your prevailing wage documentation early
NTT DATA files a Labor Condition Application with the DOL before your H-1B or E-3 petition can proceed. Having your official job title, worksite location, and degree documentation ready speeds up the LCA stage and reduces back-and-forth with your assigned immigration contact.
Use Migrate Mate to find open Cloud Engineer roles at NTT DATA
Cloud Engineer openings at large IT services firms turn over frequently. Search Migrate Mate to filter NTT DATA's current Cloud Engineer listings by visa type so you're applying to roles already flagged for sponsorship, not guessing from a general careers page.
Frequently Asked Questions
Does NTT DATA sponsor H-1B visas for Cloud Engineers?
Yes, NTT DATA sponsors H-1B visas for Cloud Engineers. The company has an active immigration program and works with candidates through the full H-1B process, including the DOL Labor Condition Application and USCIS petition filing. Because H-1B availability depends on the annual cap and lottery, confirm timing with your recruiter early so the LCA and petition are prepared before the April filing window.
How do I apply for Cloud Engineer jobs at NTT DATA?
You can apply through NTT DATA's careers portal or find open Cloud Engineer roles filtered by visa sponsorship type on Migrate Mate. When applying, tailor your resume to highlight cloud platform experience, relevant certifications, and any enterprise IT or managed services background. After submitting, expect an initial technical screen followed by panel interviews focused on architecture and hands-on cloud skills.
Which visa types does NTT DATA commonly use for Cloud Engineer roles?
NTT DATA sponsors Cloud Engineers on H-1B, E-3 (for Australian citizens), TN visa (for Canadian and Mexican nationals), and F-1 OPT and CPT for students in eligible STEM programs. For candidates seeking permanent residence, the company also supports EB-2 and EB-3 Green Card sponsorship, typically after an initial period in an H-1B status.
What qualifications does NTT DATA expect for sponsored Cloud Engineer roles?
Most Cloud Engineer roles require a bachelor's degree in computer science, information technology, or a closely related field, which satisfies the specialty occupation requirement USCIS looks for in H-1B and E-3 petitions. Practical experience with cloud platforms such as AWS, Azure, or Google Cloud, combined with infrastructure or DevOps skills, is consistently emphasized across NTT DATA's Cloud Engineer job postings.
How long does the visa sponsorship process take for a Cloud Engineer at NTT DATA?
For H-1B, the process starts with a DOL Labor Condition Application, which typically takes seven to ten business days, followed by USCIS petition processing. Standard processing runs three to five months; premium processing through USCIS can reduce the adjudication window to 15 business days for an additional fee. E-3 consular processing for Australian applicants is often faster, with most interviews scheduled within a few weeks of the LCA being certified.