Principal Quality Assurance Engineer Visa Sponsorship Jobs in New York
Principal quality assurance engineer roles in New York attract global talent at companies like Amazon, Google, JPMorgan Chase, and IBM, with major hiring concentrated in New York City's tech and finance sectors, plus growing hubs in Albany and Buffalo. Employers across fintech, healthcare technology, and enterprise software routinely sponsor H-1B visa and other work visas for this senior engineering role.
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Job Name
Principal Quality Automation Engineer - USA (B)
Country
United States
Date Published
06-Oct-2026
Job ID
47645
Travel
You may occasionally be required to travel for business
Additional Locations
Detroit - Michigan, Houston - Texas, San Francisco - California, New York - New York, Washington - DC
This role can be based remotely in United States
Description and Requirements
CareerArc Code
CA-SW
Hybrid: #LI-Hybrid
BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry-leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success. BMC does this in a simple and optimized way by connecting people, systems, and data that power the world’s largest organizations so they can seize a competitive advantage.
The IZOT product line includes BMC’s Intelligent Z Optimization & Transformation products, which help the world’s largest companies to monitor and manage their mainframe systems. The modernization of mainframe is the beating heart of our product line, and we achieve this goal by developing products that improve the developer experience, the mainframe integration, the speed of application development, the quality of the code and the applications’ security, while reducing operational costs and risks. We acquired several companies along the way, and we continue to grow, innovate, and perfect our solutions on an ongoing basis.
About the Role
You build the systems that tell us whether our agentic AI is good enough to ship: evaluation frameworks, golden datasets, and rubrics; automated eval harnesses in CI; and drive down failure modes such as hallucination, drift, and unsafe or non-repeatable output. You are the reason customers can trust what our agents produce.
At this level you independently own well-scoped work from definition through delivery.
Scope at this level: Independently owns well-scoped eval work for a feature/team from definition through delivery.
Organizational impact expected: Improves outcomes for one team or project.
Key Responsibilities
Core responsibilities for this role:
- Define and implement evaluation strategies and frameworks for Generative AI, RAG, and agentic AI applications.
- Create golden datasets, rubrics, and scoring methods (including LLM-as-a-judge) so quality is measured consistently.
- Apply statistical sampling, repeated trials, judge calibration, dataset versioning, and anti-contamination practices.
- Stand up automated evaluation harnesses in CI so model/prompt/agent changes are re-scored before ship.
- Define quality metrics and release gates for customer-ready vs prototype.
- Design testing strategies for multi-agent workflows and AI systems using tools, APIs, MCP, and enterprise apps; Playwright where relevant.
- Evaluate end-to-end agent behaviour (planning, tool use, response generation, task completion).
- Identify failure modes using observability/tracing; recommend reliability improvements.
- Close the loop from evaluation results into model/prompt improvements with DS and AI Engineering.
- Champion Responsible-AI and human-in-the-loop principles; contribute to governance and model validation.
Must-Have Skills & Experience
- Bachelor's or master's in computer science, AI, or related field (or equivalent experience).
- Experience with Generative AI / LLM applications or AI/ML systems and quality/evaluation frameworks (depth scales with level).
- Understanding of LLM/RAG/agentic failure modes; vector DBs and embedding retrieval as level requires.
- Python; building eval sets, rubrics, automated scoring; CI/CD integration.
- LLM observability/tracing (e.g. Langfuse, OTel) and analytics (OpenSearch or similar) as level requires.
- Rigorous, data-driven mindset; collaboration across DS, engineering, and product.
- Evidence of owning an eval suite that influenced a release decision.
- Builds consistent rubrics/datasets — not one-off manual spot checks only.
- Works independently on scoped quality problems.
Evidence we will look for in hiring:
- Past experience: Owned a defined evaluation suite or quality workflow for an AI feature and partnered with stakeholders on “good enough.”
- Delivery evidence: Decision-ready quality report; evals integrated into a release or CI path for one product/team.
- Shared expectation: Independently owns well-scoped work from definition through delivery.
Nice-to-Have Skills
- Ragas, DeepEval, promptfoo, or similar eval frameworks.
- AI safety/governance; enterprise/regulated environments.
- OpenShift/AWS; performance/load/reliability testing of AI apps.
- MLOps; open-weight models/local serving; MCP; Agile/Atlassian
LI-Remote
Our commitment to you!
BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU!
If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas!
BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.
BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process.
The annual base salary range represents the low and high end of the BMC salary range for this position. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs.
The range listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits.
At BMC, it is not typical for an individual to be hired at /near the top of the range. A reasonable estimate of the current range is $152,925 - $254,875
Min salary
152,925
Mid point salary
203,900
Max salary
254,875
Min Salary - NEW
152,925
Max Salary - NEW
254,875
Basic Information
Job Name
Principal Quality Automation Engineer - USA (B)
Country
United States
Date Published
06-Oct-2026
Job ID
47645
Travel
You may occasionally be required to travel for business
Additional Locations
Detroit - Michigan, Houston - Texas, San Francisco - California, New York - New York, Washington - DC
This role can be based remotely in United States
Description and Requirements
CareerArc Code
CA-SW
Hybrid: #LI-Hybrid
BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry-leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success. BMC does this in a simple and optimized way by connecting people, systems, and data that power the world’s largest organizations so they can seize a competitive advantage.
The IZOT product line includes BMC’s Intelligent Z Optimization & Transformation products, which help the world’s largest companies to monitor and manage their mainframe systems. The modernization of mainframe is the beating heart of our product line, and we achieve this goal by developing products that improve the developer experience, the mainframe integration, the speed of application development, the quality of the code and the applications’ security, while reducing operational costs and risks. We acquired several companies along the way, and we continue to grow, innovate, and perfect our solutions on an ongoing basis.
About the Role
You build the systems that tell us whether our agentic AI is good enough to ship: evaluation frameworks, golden datasets, and rubrics; automated eval harnesses in CI; and drive down failure modes such as hallucination, drift, and unsafe or non-repeatable output. You are the reason customers can trust what our agents produce.
At this level you independently own well-scoped work from definition through delivery.
Scope at this level: Independently owns well-scoped eval work for a feature/team from definition through delivery.
Organizational impact expected: Improves outcomes for one team or project.
Key Responsibilities
Core responsibilities for this role:
- Define and implement evaluation strategies and frameworks for Generative AI, RAG, and agentic AI applications.
- Create golden datasets, rubrics, and scoring methods (including LLM-as-a-judge) so quality is measured consistently.
- Apply statistical sampling, repeated trials, judge calibration, dataset versioning, and anti-contamination practices.
- Stand up automated evaluation harnesses in CI so model/prompt/agent changes are re-scored before ship.
- Define quality metrics and release gates for customer-ready vs prototype.
- Design testing strategies for multi-agent workflows and AI systems using tools, APIs, MCP, and enterprise apps; Playwright where relevant.
- Evaluate end-to-end agent behaviour (planning, tool use, response generation, task completion).
- Identify failure modes using observability/tracing; recommend reliability improvements.
- Close the loop from evaluation results into model/prompt improvements with DS and AI Engineering.
- Champion Responsible-AI and human-in-the-loop principles; contribute to governance and model validation.
Must-Have Skills & Experience
- Bachelor's or master's in computer science, AI, or related field (or equivalent experience).
- Experience with Generative AI / LLM applications or AI/ML systems and quality/evaluation frameworks (depth scales with level).
- Understanding of LLM/RAG/agentic failure modes; vector DBs and embedding retrieval as level requires.
- Python; building eval sets, rubrics, automated scoring; CI/CD integration.
- LLM observability/tracing (e.g. Langfuse, OTel) and analytics (OpenSearch or similar) as level requires.
- Rigorous, data-driven mindset; collaboration across DS, engineering, and product.
- Evidence of owning an eval suite that influenced a release decision.
- Builds consistent rubrics/datasets — not one-off manual spot checks only.
- Works independently on scoped quality problems.
Evidence we will look for in hiring:
- Past experience: Owned a defined evaluation suite or quality workflow for an AI feature and partnered with stakeholders on “good enough.”
- Delivery evidence: Decision-ready quality report; evals integrated into a release or CI path for one product/team.
- Shared expectation: Independently owns well-scoped work from definition through delivery.
Nice-to-Have Skills
- Ragas, DeepEval, promptfoo, or similar eval frameworks.
- AI safety/governance; enterprise/regulated environments.
- OpenShift/AWS; performance/load/reliability testing of AI apps.
- MLOps; open-weight models/local serving; MCP; Agile/Atlassian
LI-Remote
Our commitment to you!
BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU!
If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas!
BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.
BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process.
The annual base salary range represents the low and high end of the BMC salary range for this position. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs.
The range listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits.
At BMC, it is not typical for an individual to be hired at /near the top of the range. A reasonable estimate of the current range is $152,925 - $254,875
Min salary
152,925
Mid point salary
203,900
Max salary
254,875
Min Salary - NEW
152,925
Max Salary - NEW
254,875
Principal Quality Assurance Engineer Job Roles in New York
See all Principal Quality Assurance Engineer Jobs in New York
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Search Principal Quality Assurance Engineer Jobs in New YorkPrincipal Quality Assurance Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for principal quality assurance engineers in New York?
Large technology and financial services employers in New York have consistent H-1B sponsorship histories for senior QA engineering roles. Companies such as Amazon, Google, Microsoft, IBM, JPMorgan Chase, Citigroup, and Bloomberg have filed Labor Condition Applications for quality assurance engineering positions. Healthcare technology firms like Veradigm and enterprise software companies with New York offices also sponsor at this level regularly.
Which visa types realistically fit principal quality assurance engineer roles in New York?
The H-1B is the most common path, as principal QA engineer roles qualify as specialty occupations requiring a directly related bachelor's degree. Canadian and Mexican nationals may qualify under TN visa status as engineers. Australian nationals can pursue the E-3 visa. Singapore and Chilean nationals may use the H-1B1 visa. Those already on F-1 OPT or STEM OPT can work while an employer pursues sponsorship. EB-2 and EB-3 green card paths are also available through employer-sponsored PERM labor certification.
Which cities in New York have the most principal quality assurance engineer sponsorship jobs?
New York City, particularly Manhattan and Brooklyn, accounts for the overwhelming share of principal QA engineer sponsorship activity in the state, driven by its concentration of fintech, media technology, and enterprise software employers. Albany sees demand from state government technology contractors and healthcare IT firms. Buffalo has a growing technology sector with companies like M&T Bank and local startups that sponsor engineering roles, though at lower volume than New York City.
How to find principal quality assurance engineer visa sponsorship jobs in New York?
Migrate Mate lists principal quality assurance engineer roles in New York from employers with verified visa sponsorship history, letting you search specifically for companies that have filed for this type of engineering position. Because sponsorship activity is concentrated among larger tech, finance, and healthcare IT employers in the state, filtering by verified sponsorship history significantly narrows your search to realistic opportunities rather than sifting through roles where sponsorship is unconfirmed.
What state-specific factors affect visa sponsorship for principal QA engineers in New York?
New York City's density of financial services, media technology, and enterprise software companies creates sustained demand for senior QA engineering talent at the principal level, which typically requires substantial experience leading quality strategy across large engineering organizations. New York's strong university pipelines from Columbia, Cornell Tech, and NYU feed into local employer networks. The state's concentration of large employers also means more companies have dedicated immigration teams experienced in managing H-1B and green card sponsorship for engineering roles.
What is the prevailing wage for sponsored principal quality assurance engineer jobs in New York?
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.