TN Visa Genai Software Engineer Jobs
GenAI Software Engineer roles qualify for TN visa sponsorship under the USMCA treaty's Computer Systems Analyst category, making this one of the cleaner paths for Canadian and Mexican professionals to work in the U.S. without H-1B lottery risk. Your offer letter must tie the role's LLM, RAG, or generative model responsibilities directly to a specialty occupation.
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At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.
Position Overview:
Freddie Mac Enterprise Risk organization is seeking a hands-on Software Engineer Tech Lead (Gen AI) to lead the design and development of cutting-edge Generative AI (Gen AI) Agents, Agentic Workflows, RAG pipelines, and Gen AI Applications that solve complex business problems. This role requires advanced proficiency in Python-based microservices for the orchestration layer deployed to AWS EKS (Kubernetes). You will serve as a tech lead and a hands-on engineer, working alongside Gen AI scientists, product managers, and data engineers to shape and implement enterprise-grade Gen AI solutions.
Key Responsibilities:
- Design and implement scalable Full Stack Gen AI Agents, Agentic Workflows, RAG pipelines and applications to address diverse and complex business use cases.
- Design and deploy Python-based microservices for robust orchestration and integration with Gen AI Large Language Models (LLMs).
- Collaborate with Gen AI scientists to integrate machine learning models such as LLMs, RAG, and multi-modal AI into the application architecture.
- Implement solutions leveraging modern design patterns and best practices for full stack development.
- Build and maintain RESTful APIs to enable seamless communication between different system components.
- Collaborate with cross-functional teams of full stack engineers, data engineers and Gen AI scientists to build full-stack Gen AI experiences.
- Integrate Gen AI solutions with enterprise platforms via API-based methods and standardized patterns.
- Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment.
- Lead DevOps initiatives, including CI/CD pipelines, to ensure scalable and efficient deployment of Gen AI applications.
Our Impact:
At Freddie Mac, we are at the forefront of technological innovation, developing AI solutions that transform complex business challenges into streamlined, automated processes. By leveraging cutting-edge AI Agents, Agentic Workflows, and Gen AI Applications, we enable businesses to enhance their operational efficiency, make data-driven decisions, and unlock new opportunities for growth. Our commitment to integrating advanced technologies like LLMs and multi-modal AI into enterprise solutions ensures that we remain leaders in the AI industry, delivering impactful and sustainable results for our clients.
Your Impact:
As a Software Engineer Tech Lead (Gen AI), your role is pivotal in shaping the future of AI-driven business solutions. You will have the opportunity to design and develop scalable applications that integrate sophisticated AI models, directly influencing how businesses operate and succeed. Your expertise in Python-based microservices will be crucial in creating robust quality-controlled frameworks for Gen AI solutions that will help with Governance Approvals. By collaborating with Gen AI scientists, UX designers, and other cross-functional teams, you will drive the implementation of enterprise-grade Gen AI solutions, ensuring they meet the highest standards of performance and reliability.
Qualifications
- Bachelor's degree in computer science, Computer Engineering, IT or a related field. Advanced studies/degree preferred.
- 8-10 years overall software development experience
- 2+ years hands-on experience in GenAI solutions, including experience with LLMs (OpenAI, Anthropic, AWS Bedrock, etc.)
- 2+ year building RAG systems using vector DBs
- 1+ year with agentic frameworks (Lang Graph, Lang Chain, etc.)
- 5+ years in cloud development leveraging AWS, REST, microservices
- Strong Python, Typescript, and Java experience
- Background in ML Ops and CI/CD
- Experience building enterprise or customer-facing GenAI products
- Demonstrated ability to work in cross-functional agile teams.
- Experience with CI/CD practices and DevOps methodologies
Keys to Success in this Role:
Technical Proficiency: Demonstrate deep expertise in Python for creating microservices. Your ability to design and implement scalable solutions will be essential.
Quality and Compliance: Establish and enforce validation frameworks and procedures to ensure production-ready deployment of Gen AI solutions.
Collaboration: Work effectively with Gen AI scientists, UX designers, product managers, and data engineers to build comprehensive Gen AI experiences. Strong communication skills and a team-oriented mindset will be key.
Innovation and Problem-Solving: Employ modern Gen AI based design patterns and best practices to solve complex business problems. Your innovative approach will help integrate Gen AI into application architectures successfully.
Agility and Adaptability: Thrive in a fast-paced, agile environment. Your flexibility and ability to adapt to new challenges and technologies will ensure the continuous improvement of our AI solutions.
Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type: Full time
FLSA Status: Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $165,000 - $247,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.
Position Overview:
Freddie Mac Enterprise Risk organization is seeking a hands-on Software Engineer Tech Lead (Gen AI) to lead the design and development of cutting-edge Generative AI (Gen AI) Agents, Agentic Workflows, RAG pipelines, and Gen AI Applications that solve complex business problems. This role requires advanced proficiency in Python-based microservices for the orchestration layer deployed to AWS EKS (Kubernetes). You will serve as a tech lead and a hands-on engineer, working alongside Gen AI scientists, product managers, and data engineers to shape and implement enterprise-grade Gen AI solutions.
Key Responsibilities:
- Design and implement scalable Full Stack Gen AI Agents, Agentic Workflows, RAG pipelines and applications to address diverse and complex business use cases.
- Design and deploy Python-based microservices for robust orchestration and integration with Gen AI Large Language Models (LLMs).
- Collaborate with Gen AI scientists to integrate machine learning models such as LLMs, RAG, and multi-modal AI into the application architecture.
- Implement solutions leveraging modern design patterns and best practices for full stack development.
- Build and maintain RESTful APIs to enable seamless communication between different system components.
- Collaborate with cross-functional teams of full stack engineers, data engineers and Gen AI scientists to build full-stack Gen AI experiences.
- Integrate Gen AI solutions with enterprise platforms via API-based methods and standardized patterns.
- Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment.
- Lead DevOps initiatives, including CI/CD pipelines, to ensure scalable and efficient deployment of Gen AI applications.
Our Impact:
At Freddie Mac, we are at the forefront of technological innovation, developing AI solutions that transform complex business challenges into streamlined, automated processes. By leveraging cutting-edge AI Agents, Agentic Workflows, and Gen AI Applications, we enable businesses to enhance their operational efficiency, make data-driven decisions, and unlock new opportunities for growth. Our commitment to integrating advanced technologies like LLMs and multi-modal AI into enterprise solutions ensures that we remain leaders in the AI industry, delivering impactful and sustainable results for our clients.
Your Impact:
As a Software Engineer Tech Lead (Gen AI), your role is pivotal in shaping the future of AI-driven business solutions. You will have the opportunity to design and develop scalable applications that integrate sophisticated AI models, directly influencing how businesses operate and succeed. Your expertise in Python-based microservices will be crucial in creating robust quality-controlled frameworks for Gen AI solutions that will help with Governance Approvals. By collaborating with Gen AI scientists, UX designers, and other cross-functional teams, you will drive the implementation of enterprise-grade Gen AI solutions, ensuring they meet the highest standards of performance and reliability.
Qualifications
- Bachelor's degree in computer science, Computer Engineering, IT or a related field. Advanced studies/degree preferred.
- 8-10 years overall software development experience
- 2+ years hands-on experience in GenAI solutions, including experience with LLMs (OpenAI, Anthropic, AWS Bedrock, etc.)
- 2+ year building RAG systems using vector DBs
- 1+ year with agentic frameworks (Lang Graph, Lang Chain, etc.)
- 5+ years in cloud development leveraging AWS, REST, microservices
- Strong Python, Typescript, and Java experience
- Background in ML Ops and CI/CD
- Experience building enterprise or customer-facing GenAI products
- Demonstrated ability to work in cross-functional agile teams.
- Experience with CI/CD practices and DevOps methodologies
Keys to Success in this Role:
Technical Proficiency: Demonstrate deep expertise in Python for creating microservices. Your ability to design and implement scalable solutions will be essential.
Quality and Compliance: Establish and enforce validation frameworks and procedures to ensure production-ready deployment of Gen AI solutions.
Collaboration: Work effectively with Gen AI scientists, UX designers, product managers, and data engineers to build comprehensive Gen AI experiences. Strong communication skills and a team-oriented mindset will be key.
Innovation and Problem-Solving: Employ modern Gen AI based design patterns and best practices to solve complex business problems. Your innovative approach will help integrate Gen AI into application architectures successfully.
Agility and Adaptability: Thrive in a fast-paced, agile environment. Your flexibility and ability to adapt to new challenges and technologies will ensure the continuous improvement of our AI solutions.
Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type: Full time
FLSA Status: Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $165,000 - $247,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.
See all 124+ Genai Software Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Genai Software Engineer roles.
Get Access To All JobsTips for Finding TN Visa Sponsorship as a Genai Software Engineer
Frame your credentials around specialty occupation
TN approval hinges on proving your GenAI role requires a computer science or engineering degree specifically. Document that your position involves model architecture, prompt engineering pipelines, or fine-tuning workflows, not general software development that any grad could perform.
Target employers experienced with visa sponsorship
Companies experienced with visa sponsorship already understand the TN visa process and won't stall at legal review. Look for employers with recent visa filings to confirm they have experience supporting work visa candidates for technical roles before you invest time in their pipeline.
Get your offer letter to specify GenAI tasks explicitly
CBP officers at the Canadian border and USCIS adjudicators reviewing Mexican TN petitions both need to see that your duties are degree-specific. Push your employer to list transformer model deployment, retrieval-augmented generation, or vector database integration rather than vague phrases like 'AI development.'
Use Migrate Mate to find roles with TN sponsorship built in
Filtering for TN-ready GenAI roles manually is slow and unreliable. Migrate Mate surfaces Software Engineer positions where employers have indicated TN visa sponsorship willingness, saving you from applying to roles that will stall at the offer stage.
Prepare for Mexican TN applicants' I-129 filing requirement
Unlike Canadians who can request TN status at the border, Mexican nationals must file Form I-129 with USCIS before starting work. Budget for standard processing timelines and confirm your employer's HR team knows the petition must be approved before your start date.
Anticipate RFE risk if your degree field is adjacent
If your degree is in physics, mathematics, or a non-CS field, USCIS or CBP may question specialty occupation fit for a GenAI role. Assemble a letter from your employer explaining why your specific academic background is required for the position's technical architecture work.
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Find Genai Software Engineer JobsGenai Software Engineer TN Visa: Frequently Asked Questions
Does a GenAI Software Engineer role qualify for a TN visa?
Yes, GenAI Software Engineer positions typically qualify under the TN visa's Computer Systems Analyst category, provided the role requires a bachelor's degree or higher in computer science, engineering, or a closely related field. The offer letter must describe duties tied to generative model development, LLM integration, or AI system architecture rather than general programming tasks, so the specialty occupation requirement is clearly satisfied.
How does TN visa sponsorship for GenAI roles compare to H-1B?
TN sponsorship is faster and more predictable for GenAI engineers. There's no annual lottery, no cap for Canadians, and no multi-month wait for a registration window. Canadians can receive TN status same-day at a port of entry. H-1B requires waiting for the April lottery, and even selected applicants wait until October 1 to begin work, which is a significant disadvantage in a fast-moving field like generative AI.
Can I use Migrate Mate to find GenAI Software Engineer jobs with TN sponsorship?
Yes. Migrate Mate is built specifically for Canadian and Mexican professionals seeking TN-eligible roles in the U.S. You can search for GenAI Software Engineer positions where employers have indicated TN visa sponsorship, filtering out roles that will stall at legal review. This is more efficient than applying broadly and discovering sponsorship limitations only after multiple interview rounds.
What documents do I need as a Canadian applying for TN status in a GenAI role at the border?
You'll need a valid Canadian passport, a detailed offer letter specifying your GenAI duties and confirming the position requires a relevant degree, proof of your bachelor's degree or higher in computer science or a related field, and a support letter from your employer outlining the role and your qualifications. CBP officers make TN determinations on the spot at the port of entry, so your documentation must clearly establish that the position qualifies as a specialty occupation and that you meet all requirements.
Does my employer need to file anything with USCIS for my TN visa as a GenAI engineer?
It depends on your citizenship. Canadian nationals do not require USCIS involvement; TN status is granted by CBP at the border or a pre-clearance location. Mexican nationals require the employer to file Form I-129 with USCIS before the applicant can begin work. In both cases, the employer must prepare a support letter outlining the job role, salary, and qualifications to demonstrate TN eligibility.
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