H-1B Visa Principal Solutions Engineer Jobs
Principal Solutions Engineers sit at the intersection of deep technical expertise and enterprise sales, making them strong H-1B visa candidates when the role requires a specific engineering or computer science degree. Many employers in cloud infrastructure, SaaS, and enterprise software have active H-1B filing histories for this title.
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The AI Solutions & Transformation team builds the engineering backbone that turns Intuit's commercial strategy into production AI systems — the agentic pipelines, creative tooling, and automation that let the business move at the speed AI now demands. As Principal, you own the engineering organization behind that work: you lead the broader product development team, and you're accountable for the technical direction, delivery quality, and growth of everyone building inside this team.
This is not a maintain-the-roadmap role. The AI landscape this team builds against changes every quarter — sometimes every month — and the job is to build a team that treats that as normal rather than disruptive: ship something real, learn fast from what the model, the tooling, or the business actually needs, pivot without drama, and build again. You'll be the person who decides what's worth doubling down on, what gets killed, and how a group of engineers and engineering leads keeps shipping enterprise-grade AI solutions while the ground underneath them keeps moving.
You'll report into GBSG Commercial organization, and you'll work in close, daily partnership with the AI Solutions product management team, who own the product bets this engineering organization builds against. That means part of the job is translating between two worlds: you need enough technical depth to set direction, make build-vs-pivot calls, and earn credibility with your engineers — and enough business fluency to turn product management's priorities into a technical roadmap, and explain what the team is building, and why it matters, in terms a commercial, brand-first audience immediately understands.
Responsibilities
Lead the engineering organization
- Manage and grow a team of engineering contractors and FTEs to leading the product development squads building the team's AI systems.
- Set the technical direction and engineering quality bar across the full AI Solutions & Transformation portfolio.
- Own the build-pivot-kill calls: decide where the team doubles down, where it cuts losses, and where it re-architects as new models, tools, and business priorities emerge.
- Build the org's structure and capacity plan so it can run multiple concurrent AI initiatives without you being the bottleneck.
Own delivery and impact
- Be accountable for the delivery, reliability, and quality of the AI systems your organization ships into production for the commercial business.
- Turn ambiguity into an execution plan: take loosely defined, fast-changing product priorities from the AI Solutions product management team and convert them into a staffed, sequenced build plan for your team.
- Establish the operating cadence — planning, prioritization, and review — that keeps a fast-iterating AI team shipping rather than thrashing.
- Serve as the escalation point for technical, delivery, or resourcing issues that need a group manager's judgment and authority to unblock.
Partner across the business
- Partner day-to-day with the AI Solutions product management team as your primary counterpart — translating product priorities into a staffed technical roadmap, and surfacing technical tradeoffs, risk, and pivots back to them in terms they can act on.
- Represent engineering to brand and other cross-functional partners on progress, risk, and the pivots the team is making and why.
- Build trust with non-technical stakeholders by communicating clearly, not just correctly.
Build the practice
- Establish engineering practices suited to rapid AI iteration: fast experimentation, clear criteria for scaling or killing a bet, and reusable infrastructure so each new capability ships faster than the last.
- Set the hiring bar and run the interview loop for engineers and engineering leads joining the team during a period of rapid growth and change.
- Coach and develop the managers and leads on your team, including Ashton and Jaga, and own their performance and career growth.
Qualifications
What You'll Bring
- 8+ years of software engineering experience, including meaningful time leading engineering managers or leads (Group Manager / Senior Manager level), not just individual contributors.
- Hands-on technical depth in modern AI and agentic systems — LLMs, RAG, agent orchestration and tool use, prompt engineering.
- A track record of shipping production AI systems, not demos or proofs of concept, under real delivery pressure.
- Demonstrated comfort with fast, repeated iteration: building something, learning it's wrong, pivoting without losing the team's momentum, and building again.
- Experience managing engineering within or adjacent to a commercial, brand, or marketing organization, with the ability to translate business and brand goals into technical execution.
- Strong stakeholder management and the judgment to partner with senior, non-technical executive leadership.
- Experience scaling a technical practice: hiring, leveling, interview loops, and engineering standards.
- Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
Preferred
- Experience building enterprise-grade AI solutions: RAG pipelines, multi-agent systems, content generation, compliance/QA automation, or similar agentic tooling.
- Background in fintech, SaaS, or brand/creative technology.
- Experience leading a team through a significant strategic or organizational pivot.
- Experience managing managers specifically, rather than only a team of individual contributors.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
San Diego $247,500 - $335,000
Overview
The AI Solutions & Transformation team builds the engineering backbone that turns Intuit's commercial strategy into production AI systems — the agentic pipelines, creative tooling, and automation that let the business move at the speed AI now demands. As Principal, you own the engineering organization behind that work: you lead the broader product development team, and you're accountable for the technical direction, delivery quality, and growth of everyone building inside this team.
This is not a maintain-the-roadmap role. The AI landscape this team builds against changes every quarter — sometimes every month — and the job is to build a team that treats that as normal rather than disruptive: ship something real, learn fast from what the model, the tooling, or the business actually needs, pivot without drama, and build again. You'll be the person who decides what's worth doubling down on, what gets killed, and how a group of engineers and engineering leads keeps shipping enterprise-grade AI solutions while the ground underneath them keeps moving.
You'll report into GBSG Commercial organization, and you'll work in close, daily partnership with the AI Solutions product management team, who own the product bets this engineering organization builds against. That means part of the job is translating between two worlds: you need enough technical depth to set direction, make build-vs-pivot calls, and earn credibility with your engineers — and enough business fluency to turn product management's priorities into a technical roadmap, and explain what the team is building, and why it matters, in terms a commercial, brand-first audience immediately understands.
Responsibilities
Lead the engineering organization
- Manage and grow a team of engineering contractors and FTEs to leading the product development squads building the team's AI systems.
- Set the technical direction and engineering quality bar across the full AI Solutions & Transformation portfolio.
- Own the build-pivot-kill calls: decide where the team doubles down, where it cuts losses, and where it re-architects as new models, tools, and business priorities emerge.
- Build the org's structure and capacity plan so it can run multiple concurrent AI initiatives without you being the bottleneck.
Own delivery and impact
- Be accountable for the delivery, reliability, and quality of the AI systems your organization ships into production for the commercial business.
- Turn ambiguity into an execution plan: take loosely defined, fast-changing product priorities from the AI Solutions product management team and convert them into a staffed, sequenced build plan for your team.
- Establish the operating cadence — planning, prioritization, and review — that keeps a fast-iterating AI team shipping rather than thrashing.
- Serve as the escalation point for technical, delivery, or resourcing issues that need a group manager's judgment and authority to unblock.
Partner across the business
- Partner day-to-day with the AI Solutions product management team as your primary counterpart — translating product priorities into a staffed technical roadmap, and surfacing technical tradeoffs, risk, and pivots back to them in terms they can act on.
- Represent engineering to brand and other cross-functional partners on progress, risk, and the pivots the team is making and why.
- Build trust with non-technical stakeholders by communicating clearly, not just correctly.
Build the practice
- Establish engineering practices suited to rapid AI iteration: fast experimentation, clear criteria for scaling or killing a bet, and reusable infrastructure so each new capability ships faster than the last.
- Set the hiring bar and run the interview loop for engineers and engineering leads joining the team during a period of rapid growth and change.
- Coach and develop the managers and leads on your team, including Ashton and Jaga, and own their performance and career growth.
Qualifications
What You'll Bring
- 8+ years of software engineering experience, including meaningful time leading engineering managers or leads (Group Manager / Senior Manager level), not just individual contributors.
- Hands-on technical depth in modern AI and agentic systems — LLMs, RAG, agent orchestration and tool use, prompt engineering.
- A track record of shipping production AI systems, not demos or proofs of concept, under real delivery pressure.
- Demonstrated comfort with fast, repeated iteration: building something, learning it's wrong, pivoting without losing the team's momentum, and building again.
- Experience managing engineering within or adjacent to a commercial, brand, or marketing organization, with the ability to translate business and brand goals into technical execution.
- Strong stakeholder management and the judgment to partner with senior, non-technical executive leadership.
- Experience scaling a technical practice: hiring, leveling, interview loops, and engineering standards.
- Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
Preferred
- Experience building enterprise-grade AI solutions: RAG pipelines, multi-agent systems, content generation, compliance/QA automation, or similar agentic tooling.
- Background in fintech, SaaS, or brand/creative technology.
- Experience leading a team through a significant strategic or organizational pivot.
- Experience managing managers specifically, rather than only a team of individual contributors.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
San Diego $247,500 - $335,000
See all 1,140+ H-1B Visa Principal Solutions Engineer Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Principal Solutions Engineer
Map your degree to the SOC code
Principal Solutions Engineer roles often map to SOC code 15-1299 or 15-1251. Confirm your degree field aligns with the specific occupation USCIS will evaluate, since a mismatch between your credential and the SOC code is a common RFE trigger.
Pull prevailing wage data before negotiating
Use the OFLC Wage Search to look up Level III and Level IV wages for your target metro area before you enter salary discussions. Your offer must meet or exceed the DOL prevailing wage the employer certifies on the LCA.
Target employers with cap-exempt affiliations
Some enterprise software and research-adjacent firms have affiliations with universities or nonprofits that qualify them as cap-exempt filers. A cap-exempt employer can file your H-1B petition any time of year, bypassing the April lottery entirely.
Search verified H-1B sponsors on Migrate Mate
Filter Principal Solutions Engineer roles by employers with documented H-1B LCA filing history using Migrate Mate. This narrows your search to companies that have already navigated the sponsorship process for this specific occupation code.
Clarify the specialty occupation case before accepting
Ask the recruiter whether a bachelor's degree in a specific technical field is listed as a minimum requirement in the job description, not just preferred. USCIS will scrutinize the job posting itself when evaluating specialty occupation status for solutions engineering roles.
Time your start date around premium processing
If your employer files after April 1 for an October 1 start, standard processing can run several months. Confirm whether your employer will use USCIS premium processing so you and your manager can plan onboarding and project assignments without ambiguity.
H-1B Visa Principal Solutions Engineer: Frequently Asked Questions
Does a Principal Solutions Engineer role qualify as a specialty occupation for H-1B purposes?
It depends on how the job description is written. USCIS requires the role to mandate a bachelor's degree or higher in a specific field as a minimum requirement, not just a preference. Principal Solutions Engineer positions that require a computer science, engineering, or information systems degree typically qualify, but broadly worded postings that accept any bachelor's degree can draw an RFE. The O*NET profile for this occupation supports specialty occupation status when the technical requirements are clearly documented.
Which industries sponsor H-1B visas most often for this role?
Cloud infrastructure, enterprise SaaS, cybersecurity, and networking hardware companies are the most active H-1B sponsors for Principal Solutions Engineer titles, based on DOL LCA disclosure data. These employers regularly certify LCAs for senior-level technical sales and implementation roles. You can browse employers with verified H-1B filing history for this occupation on Migrate Mate.
Can I transfer my H-1B to a new employer if I change solutions engineering roles?
Yes. Under H-1B portability rules, you can start working for a new employer as soon as your transfer petition is filed, without waiting for approval, as long as your previous H-1B was approved and you've maintained valid status. Your new employer files a new I-129 petition and LCA reflecting the updated role, title, and worksite. If the role or location changes materially, an amended petition may also be required.
How does remote or multi-site work affect my H-1B as a solutions engineer?
Solutions engineers often work across multiple client sites or from home, which creates LCA compliance obligations. Your employer must file a new LCA or an amended H-1B petition if you're working at a location not covered by the original filing. Short-term placements under 60 days may qualify for a short-term placement exception, but sustained remote work in a different metro area requires a new LCA certified at the prevailing wage for that location.
What documentation should I gather before my employer starts the H-1B filing?
Provide your employer with your transcripts, degree certificates, and any credential evaluations if your degree is from outside the U.S. A degree evaluation confirming equivalency to a U.S. bachelor's in a relevant technical field is especially important for three-year international degrees. Also prepare a detailed description of your day-to-day duties, since USCIS will assess whether the actual work performed requires a specific technical degree, not just the job title.