AI Software Developer in Test - Vice President
iCapital - Salt Lake City, Utah, United States
Posted Mar 12, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- $120K-$150K From the posting source checked Jun 20, 2026
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
16% above the BLS role benchmark for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Equity
- Offered From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
AI Software Developer in Test - Vice President Salt Lake City, Utah, United States About the Role iCapital is looking to hire a Software Developer in Test to work on the iCapital platform. This individual will bring practical knowledge of agile development methodologies and engineering best practices. This role will work closely with the Development and Testing team. The ideal candidate is a combination of a hands-on test engineer who has some managerial experience, and who can understand existing automation test frameworks and has an ability to enhance and implement the same and should also be able to work with other engineers and product managers to support feature-based testing. Responsibilities - Build and implement robust automated test suites for API and backend services. - Design and implement test strategies for AI/ML models and AI enabled in-house applications, including validation of model outputs, prompt behavior, determinism, and regression across releases. - Establish automated evaluation frameworks for AI systems (i.e. accuracy, consistency, hallucination detection, bias, and drift) and integrate them into CI/CD pipelines. - Partner with AI/ML Engineers, Platform teams, and Governance stakeholders to ensure responsible AI practices, including testability, traceability, and production readiness of AI features. - Integrate automated test suites into existing GitLab CI/CD pipelines and deployment workflows. - Maintain and improve automation frameworks to accommodate evolving system architecture, including blockchain based components. - Collaborate with developers, product managers, and DevOps engineers to ensure testability and quality across distributed systems. - Create and manage defect workflows integrated with tools such
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