TN Visa AI Solutions Engineer Jobs
AI Solutions Engineer roles qualify for TN visa sponsorship under the USMCA's engineer and computer systems analyst categories. Canadian citizens can enter at the port of entry the same day their employer finalizes the offer. Mexican citizens need consular processing. You'll need a degree in computer science, engineering, or a closely related field plus a detailed job offer letter.
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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 AI Solutions Engineer (Python, DevOps, Cloud, LLM) to join our team in Dallas, Texas (US-TX), United States (US).
As an AI Solutions Engineer, you are a hands-on engineer responsible for deploying, configuring, and operating the NTT Data AMS AI Platform in customer environments. You will work directly with customer engineering teams to install the platform, integrate it into existing DevOps workflows, ingest and analyze codebases, and ensure the solution delivers real, measurable value.
KEY RESPONSIBILITIES
Platform Installation Engineering:
- Deploy and configure the NTT Data AMS AI Platform within customer cloud environments.
- Install, validate, and operate platform components using modern DevOps practices (Kubernetes, Helm, Git-based deployments).
- Validate network connectivity, security configurations, logging, and monitoring.
- Manage versioned deployments, upgrades, and rollback procedures using Git-driven release workflows.
- Test end-to-end platform functionality using representative repositories and workloads.
- Operate and maintain monitoring, logging, and alerting to ensure platform health post-deployment.
Code Workflow Enablement:
- Review customer codebases (language-agnostic) to assess structure, dependencies, and readiness for AI-driven analysis.
- Guide teams on repository hygiene, modularization, access controls, and branching strategies.
- Integrate the platform into customer CI/CD pipelines and release governance models.
- Troubleshoot ingestion, analysis, and runtime issues across code, infrastructure, and integrations.
Technical Discovery Solutioning:
- Lead technical discovery sessions to understand customer architecture, development workflows, and constraints.
- Translate business and engineering goals into practical platform configurations and deployment patterns.
- Provide architectural guidance and clearly communicate trade-offs when preparing systems for AI-driven workflows.
- Identify risks early (security, scale, complexity) and adjust implementation approach accordingly.
Customer Internal Collaboration:
- Work directly with customer engineers to drive adoption and unblock progress.
- Partner with Product, Support, and Engineering to surface platform gaps, edge cases, and improvement opportunities.
- Document configurations, patterns, and lessons learned to improve future deployments.
- Serve as the technical point of continuity across installation, enablement, and early production usage.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
- 2+ years of experience in a technical implementation or solutions engineering role, preferably with a SaaS product.
- 2+ years of experience with Azure, OpenAI, and other cloud and LLM providers.
- 7+ years strong in software development lifecycle (SDLC) practices and common source control workflows (e.g. Git branching strategies, pull requests, release versioning).
- 2+ years Machine Learning and Deep Learning Expertise.
- 5+ years of strong understanding of software integration principles and APIs.
- 5+ years Programming proficiency in Python, R, and Java.
- Ability to travel to client sites as needed.
PREFERRED SKILLS
- Ability to provide architectural guidance and communicate trade-offs when preparing code for analysis workflows.
- Comfortable reading code at a structural level, with proficiency in at least one code language.
- Excellent problem-solving and analytical skills.
- Exceptional communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences.
- Proven ability to manage multiple projects simultaneously and prioritize effectively.
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $79,920 - $166,500. 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.
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 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 AI Solutions Engineer (Python, DevOps, Cloud, LLM) to join our team in Dallas, Texas (US-TX), United States (US).
As an AI Solutions Engineer, you are a hands-on engineer responsible for deploying, configuring, and operating the NTT Data AMS AI Platform in customer environments. You will work directly with customer engineering teams to install the platform, integrate it into existing DevOps workflows, ingest and analyze codebases, and ensure the solution delivers real, measurable value.
KEY RESPONSIBILITIES
Platform Installation Engineering:
- Deploy and configure the NTT Data AMS AI Platform within customer cloud environments.
- Install, validate, and operate platform components using modern DevOps practices (Kubernetes, Helm, Git-based deployments).
- Validate network connectivity, security configurations, logging, and monitoring.
- Manage versioned deployments, upgrades, and rollback procedures using Git-driven release workflows.
- Test end-to-end platform functionality using representative repositories and workloads.
- Operate and maintain monitoring, logging, and alerting to ensure platform health post-deployment.
Code Workflow Enablement:
- Review customer codebases (language-agnostic) to assess structure, dependencies, and readiness for AI-driven analysis.
- Guide teams on repository hygiene, modularization, access controls, and branching strategies.
- Integrate the platform into customer CI/CD pipelines and release governance models.
- Troubleshoot ingestion, analysis, and runtime issues across code, infrastructure, and integrations.
Technical Discovery Solutioning:
- Lead technical discovery sessions to understand customer architecture, development workflows, and constraints.
- Translate business and engineering goals into practical platform configurations and deployment patterns.
- Provide architectural guidance and clearly communicate trade-offs when preparing systems for AI-driven workflows.
- Identify risks early (security, scale, complexity) and adjust implementation approach accordingly.
Customer Internal Collaboration:
- Work directly with customer engineers to drive adoption and unblock progress.
- Partner with Product, Support, and Engineering to surface platform gaps, edge cases, and improvement opportunities.
- Document configurations, patterns, and lessons learned to improve future deployments.
- Serve as the technical point of continuity across installation, enablement, and early production usage.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
- 2+ years of experience in a technical implementation or solutions engineering role, preferably with a SaaS product.
- 2+ years of experience with Azure, OpenAI, and other cloud and LLM providers.
- 7+ years strong in software development lifecycle (SDLC) practices and common source control workflows (e.g. Git branching strategies, pull requests, release versioning).
- 2+ years Machine Learning and Deep Learning Expertise.
- 5+ years of strong understanding of software integration principles and APIs.
- 5+ years Programming proficiency in Python, R, and Java.
- Ability to travel to client sites as needed.
PREFERRED SKILLS
- Ability to provide architectural guidance and communicate trade-offs when preparing code for analysis workflows.
- Comfortable reading code at a structural level, with proficiency in at least one code language.
- Excellent problem-solving and analytical skills.
- Exceptional communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences.
- Proven ability to manage multiple projects simultaneously and prioritize effectively.
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $79,920 - $166,500. 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.
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 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 344+ AI Solutions Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Solutions Engineer roles.
Get Access To All JobsTips for Finding TN Visa Sponsorship as an AI Solutions Engineer
Align your credentials to TN-qualifying categories
AI Solutions Engineer roles are adjudicated under engineer or computer systems analyst categories. Your degree must align with one of those designations. A diploma in a loosely related field without explicit engineering or computer science coursework will draw scrutiny at the port of entry.
Request a role-specific offer letter
Your employer's offer letter must describe the job duties in technical terms that match the TN category, not just the title. CBP officers look for language like systems architecture, machine learning deployment, and API integration, not generic 'technology consulting' phrasing.
Target employers with recent visa filing experience
Employers with recent visa filings for engineering or analyst roles have already navigated work visa sponsorship processes and understand the documentation requirements involved. This cuts weeks off the sponsorship timeline because your HR team won't need to learn TN procedures from scratch—they're already familiar with supporting international talent. For TN sponsorship specifically, this means they can efficiently prepare the required support letter and understand the credential evaluation process, allowing you to move directly to your port of entry or consulate appointment.
Use Migrate Mate to find TN-ready employers
Searching broadly misses employers already set up to sponsor TN visas for technical roles. Migrate Mate filters job opportunities specifically by TN visa sponsorship history, so you're applying to companies that won't stall at the offer stage over immigration logistics.
Prepare for same-day admission as a Canadian citizen
Canadians don't need a visa stamp and can apply for TN status directly at a U.S. land border or preclearance airport. Bring your offer letter, degree transcripts, and a one-page resume. CBP processes TN admission on the spot, so incomplete documents mean same-day denial with no appeal.
Clarify your status as a Mexican citizen before the interview
Mexican nationals must obtain a TN visa stamp at a U.S. consulate before entering, which adds consular scheduling time. Book your DS-160 appointment immediately after receiving the offer, and confirm the consulate's current wait times through the USCIS and State Department portals directly.
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Find AI Solutions Engineer JobsAI Solutions Engineer TN Visa: Frequently Asked Questions
Does an AI Solutions Engineer role qualify for TN visa sponsorship?
Yes, provided the role maps to an eligible TN category. Most AI Solutions Engineer positions qualify under the engineer or computer systems analyst designations in the USMCA schedule. The determining factor is how your employer describes your duties in the offer letter, not just your job title. Roles focused on systems design, model deployment, or software architecture are well-suited to both categories.
How does the TN visa compare to H-1B for AI Solutions Engineer roles?
The TN visa has no lottery, no annual cap for Canadians, and no lengthy USCIS petition process. An H-1B requires winning a random lottery, waiting up to a year for the start date, and paying significantly higher filing fees. For Canadian citizens especially, TN admission at the border can happen the same day the offer is signed, which makes it far faster than H-1B for roles that qualify under the USMCA schedule.
Where can I find AI Solutions Engineer jobs that already sponsor TN visas?
Migrate Mate is built specifically for this search. It surfaces job opportunities filtered by employer visa sponsorship experience, so you're not spending time on roles where the employer has never navigated work visa requirements before. Starting your search there gets you in front of companies already familiar with the documentation and offer letter standards needed for TN status at the port of entry or consulate.
What documents do I need at the U.S. border for TN admission as a Canadian?
You'll need a valid Canadian passport, your employer's offer letter describing your AI Solutions Engineer duties in technical terms aligned to a TN category, your degree certificate or transcripts, and a brief resume. CBP may also ask for evidence that your degree field matches the role. Originals are strongly preferred over printed copies, and you should carry everything in a single organized folder to avoid delays at secondary inspection.
Can my employer file my TN petition through USCIS instead of at the border?
Yes. Canadian citizens have the option of having their employer file a TN petition with USCIS using Form I-129, which is useful if you're already in the U.S. on another status or prefer not to travel to the border. USCIS processing adds time compared to border admission, but it produces an approval notice that some employers find easier to document internally. Mexican nationals are required to go through consular processing regardless.
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