STEM OPT AI Architect Jobs
AI Architect roles qualify for the 24-month STEM OPT extension when your degree falls under an eligible CIP code in computer science, engineering, or a related STEM field. Your employer must be enrolled in E-Verify, and you'll need a signed I-983 training plan before your extension starts.
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Get Access To All JobsJob Title: AI Architect – Azure
Location: Dallas, TX (Remote)
Job Description:
Key Responsibilities
Copilot Studio Development:
- Build and configure custom copilots topics tools and knowledge sources
- Implement agent flows using Power Automate and custom APIs
- Integrate connectors prebuilt and custom for enterprise systems Dynamics SAP ServiceNow
Agentic Orchestration:
- Apply orchestration patterns task decomposition multistep flows fallback error handling
ALM Governance:
- Package copilots and flows into Solutions for dev/test/prod environments
- Power Platform pipelines or Azure DevOps/GitHub for CICD
- Manage environment variables connection references and Dataverse dependencies
Observability Compliance:
- Ensure data residency DLP policies and secure API authentication
Preferred Qualifications (not mandatory)
- Azure AI Search Integration
- Design and implement hybrid/vector retrieval pipelines for enterprise RAG scenarios
- Configure semantic index and secure knowledge grounding for copilots
- Implement monitoring via Azure Application Insights and enforce Responsible AI principles
Required Technical Skills
- Copilot Studio Authoring topics tools connectors and multichannel deployment
- Power Automate Flow design HTTP actions Custom connectors throttling/timeouts handling
- Azure AI Search Hybrid/vector retrieval enrichment reranking and integration with copilots
- ALM Power Platform Solutions managed/unmanaged environments CICD pipelines
- Security Governance AAD/Entra authentication environment variables DLP policies
Preferred Experience
- Working with Dataverse and Power Platform ALM and governance
- Implementing observability Azure Monitor App Insights
- Exposure to Responsible AI principles and enterprise compliance frameworks
- Familiarity with Agent Factory or similar operationalization frameworks
Soft Skills
- Strong problem-solving and debugging skills
- Ability to collaborate with cross-functional teams CSA architects governance leads
- Clear communication for technical and non-technical stakeholders
Education Certifications
- Bachelor's degree in Computer Science Engineering or related field
- Microsoft certifications in Power Platform Azure AI or Copilot Studio preferred
Skills
Mandatory Skills: AI/Generative AI, Azure Cloud Architecture, Estimation, Fine Tuning Large Language Models
Other details
Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.
Benefits and Perks:
- Comprehensive Medical Plan Covering Medical, Dental, Vision
- Short Term and Long-Term Disability Coverage
- 401(k) Plan with Company match
- Life Insurance
- Vacation Time, Sick Leave, Paid Holidays
- Paid Paternity and Maternity Leave
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Benefits
Compensation range: $130,000.00 to $170,000.00 per year
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it.
Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same.
Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/
Job Title: AI Architect – Azure
Location: Dallas, TX (Remote)
Job Description:
Key Responsibilities
Copilot Studio Development:
- Build and configure custom copilots topics tools and knowledge sources
- Implement agent flows using Power Automate and custom APIs
- Integrate connectors prebuilt and custom for enterprise systems Dynamics SAP ServiceNow
Agentic Orchestration:
- Apply orchestration patterns task decomposition multistep flows fallback error handling
ALM Governance:
- Package copilots and flows into Solutions for dev/test/prod environments
- Power Platform pipelines or Azure DevOps/GitHub for CICD
- Manage environment variables connection references and Dataverse dependencies
Observability Compliance:
- Ensure data residency DLP policies and secure API authentication
Preferred Qualifications (not mandatory)
- Azure AI Search Integration
- Design and implement hybrid/vector retrieval pipelines for enterprise RAG scenarios
- Configure semantic index and secure knowledge grounding for copilots
- Implement monitoring via Azure Application Insights and enforce Responsible AI principles
Required Technical Skills
- Copilot Studio Authoring topics tools connectors and multichannel deployment
- Power Automate Flow design HTTP actions Custom connectors throttling/timeouts handling
- Azure AI Search Hybrid/vector retrieval enrichment reranking and integration with copilots
- ALM Power Platform Solutions managed/unmanaged environments CICD pipelines
- Security Governance AAD/Entra authentication environment variables DLP policies
Preferred Experience
- Working with Dataverse and Power Platform ALM and governance
- Implementing observability Azure Monitor App Insights
- Exposure to Responsible AI principles and enterprise compliance frameworks
- Familiarity with Agent Factory or similar operationalization frameworks
Soft Skills
- Strong problem-solving and debugging skills
- Ability to collaborate with cross-functional teams CSA architects governance leads
- Clear communication for technical and non-technical stakeholders
Education Certifications
- Bachelor's degree in Computer Science Engineering or related field
- Microsoft certifications in Power Platform Azure AI or Copilot Studio preferred
Skills
Mandatory Skills: AI/Generative AI, Azure Cloud Architecture, Estimation, Fine Tuning Large Language Models
Other details
Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.
Benefits and Perks:
- Comprehensive Medical Plan Covering Medical, Dental, Vision
- Short Term and Long-Term Disability Coverage
- 401(k) Plan with Company match
- Life Insurance
- Vacation Time, Sick Leave, Paid Holidays
- Paid Paternity and Maternity Leave
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Benefits
Compensation range: $130,000.00 to $170,000.00 per year
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it.
Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same.
Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/
See all 64+ STEM OPT AI Architect Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT AI Architect Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization in AI Architect
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code appears on the USCIS STEM OPT designated degree list. Computer science, computer engineering, and information systems codes typically qualify, but interdisciplinary degrees sometimes require a closer look with your DSO.
Confirm E-Verify enrollment before accepting offers
Ask the recruiter for their E-Verify company ID or look up the employer in the E-Verify database before signing an offer. A company that isn't enrolled can't legally employ you on a STEM OPT extension, no matter how enthusiastic they are.
Build an I-983 training plan that maps to the role
AI Architect roles should document specific learning objectives tied to systems design, model deployment, and infrastructure architecture. Vague training plans draw scrutiny from USCIS during audits, so get your hiring manager to sign off on concrete technical milestones.
Target employers with active H-1B filing history
Use Migrate Mate to filter AI Architect roles by employers who have filed H-1B visa LCAs, giving you a concrete signal that a company has already built the infrastructure to sponsor and transition STEM workers beyond OPT.
Use O*NET to align your job duties with STEM OPT requirements
The O*NET profile for AI Architect roles lists the core tasks and knowledge areas tied to the occupation. Referencing these in your I-983 strengthens the connection between your work authorization, your STEM degree, and the employer's training obligations.
File your extension request at least 90 days before OPT expires
USCIS requires your STEM OPT extension application to be received before your initial OPT EAD expires. Submit your I-765 and supporting documents through your DSO well in advance to avoid a gap that would disqualify you from working.
Frequently Asked Questions
Does an AI Architect role qualify for the STEM OPT extension?
Yes, if your degree is in an eligible STEM field such as computer science, computer engineering, electrical engineering, or applied mathematics, and the role involves applying that technical knowledge directly. Check your degree's CIP code against the USCIS STEM designated degree list and confirm with your DSO that the AI Architect position satisfies the practical training requirement.
What does the I-983 training plan need to cover for an AI Architect position?
Your I-983 must document specific learning objectives tied to the role, not just a job description. For AI Architect positions, that means outlining how the work develops skills in areas like distributed systems design, model deployment pipelines, or cloud infrastructure architecture. Both you and your employer sign the form, and USCIS can audit it, so vague entries are a real risk.
How do I find AI Architect employers who are enrolled in E-Verify?
Browse AI Architect listings on Migrate Mate, where employers are filtered for E-Verify enrollment, so you're not wasting applications on companies that can't legally hire STEM OPT workers. You can also ask a recruiter directly for the company's E-Verify ID number and cross-reference it in the E-Verify employer search tool before accepting an offer.
What happens to my STEM OPT authorization if my employer loses E-Verify status after I start?
If your employer's E-Verify participation terminates after you begin working, your STEM OPT authorization is no longer valid for that employer. You'd need to find a new E-Verify-enrolled employer and file an amended I-983 with your DSO. USCIS requires continuous E-Verify enrollment throughout the extension period, not just at the time of initial hiring.
Can I apply for an H-1B while working as an AI Architect on STEM OPT?
Yes, and cap-gap protections apply if your STEM OPT EAD is still valid when H-1B lottery registration opens in March. If selected, your work authorization automatically extends through September 30 of that fiscal year while USCIS adjudicates the petition. AI Architect roles are strong candidates for H-1B specialty occupation classification given the degree requirements attached to the position.