Genai Software Engineer Jobs in USA with Visa Sponsorship
GenAI Software Engineer roles are among the most actively sponsored positions in tech right now. Employers filing H-1B visa petitions for this title consistently cite computer science or a related engineering field as the qualifying degree, making it a strong fit for international candidates on OPT or seeking cap-subject sponsorship. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsAt 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 250+ 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 Visa Sponsorship as a Genai Software Engineer
Lead with your GenAI stack, not just 'ML experience'
Employers sponsoring GenAI roles want specificity. Name the frameworks you've worked with, such as LangChain, LlamaIndex, or the OpenAI API. Vague references to machine learning experience won't differentiate you in a competitive sponsorship pipeline.
Target companies with active H-1B filing histories
Not every employer that posts a GenAI role will sponsor visas. Focus on companies with documented H-1B filings in this job category. Migrate Mate filters sponsoring employers directly, saving you from applying to roles that will never move forward.
Clarify your OPT or STEM OPT timeline upfront
If you're on F-1 OPT, tell recruiters your authorization end date and whether you qualify for the 24-month STEM extension. GenAI hiring cycles can run three to five months, so timeline transparency prevents late-stage offers falling through.
Align your degree field to the specialty occupation standard
H-1B approval for GenAI engineers requires your degree to relate directly to the role. Computer science, electrical engineering, and applied mathematics are the most defensible fields. Unrelated degrees need strong supplementary evidence to satisfy USCIS specialty occupation criteria.
Negotiate cap-exempt or cap-exempt affiliated employers
Universities, nonprofit research institutes, and their affiliates are exempt from the H-1B lottery. GenAI research roles at these institutions can be filed any time of year, giving you sponsorship access completely outside the annual April lottery cycle.
Prepare a portfolio of production-grade GenAI work
Visa officers and hiring managers both scrutinize whether the role genuinely requires a specialist. Documented work, such as deployed RAG pipelines, fine-tuned models, or agentic systems in production, substantiates the specialty occupation claim and strengthens your petition.
Genai Software Engineer jobs are hiring across the US. Find yours.
Find Genai Software Engineer JobsFrequently Asked Questions
Do companies actually sponsor H-1B visas for GenAI Software Engineer roles?
Yes, and at a high rate relative to most engineering titles. GenAI engineering sits squarely within the specialty occupation definition because the role requires a specific theoretical and practical background in machine learning, large language models, or AI systems. Companies ranging from early-stage startups to large technology employers have filed H-1B petitions under this and closely related job titles. Migrate Mate lists only employers who are actively willing to sponsor, so you can browse verified opportunities without filtering manually.
What degree do I need for H-1B sponsorship as a GenAI Software Engineer?
A bachelor's degree or higher in computer science, software engineering, mathematics, or a closely related quantitative field satisfies the H-1B specialty occupation requirement for most GenAI roles. Degrees in physics or statistics are generally accepted when paired with demonstrated AI work. If your degree is in an unrelated field, you may still qualify by combining a two-year degree with six years of progressive, specialized GenAI experience under the three-for-one equivalency rule, though this path requires stronger documentation.
How does the H-1B lottery affect my chances of sponsorship in this field?
The H-1B lottery applies to cap-subject petitions regardless of job title. In recent fiscal years, the overall selection rate for the regular cap has been roughly 25 to 30 percent, meaning most registrations go unselected in any given year. For GenAI engineers, two lottery-exempt paths are worth pursuing in parallel: roles at universities or nonprofit research institutions, and L-1 transfers if you're already employed abroad by a company with a U.S. entity.
Can I get sponsored on OPT before the H-1B lottery as a GenAI engineer?
Yes. If you graduated from a U.S. university in a STEM field, your initial 12-month OPT period plus the 24-month STEM extension gives you up to three years of work authorization. That window typically covers at least two H-1B lottery cycles, meaning you have more than one opportunity to be selected. Some GenAI employers will also file an O-1A petition if your research contributions, publications, or deployed systems meet the extraordinary ability threshold, bypassing the lottery entirely.
Is the O-1A visa a realistic alternative for GenAI Software Engineers?
For candidates with a strong public profile in AI, it can be. USCIS evaluates O-1A petitions against criteria including published research, speaking at recognized conferences, contributions to open-source projects with significant adoption, or compensation in the top tier for the field. GenAI engineers who have co-authored papers, contributed to widely used frameworks, or built systems cited in industry literature are reasonable candidates. It is not a fit for early-career engineers without documented external recognition.
What is the prevailing wage requirement for sponsored Genai Software Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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