Lead Software Engineer Visa Sponsorship Jobs in Utah
Utah's lead software engineer market is anchored by a growing tech corridor stretching from Salt Lake City through Provo and Lehi, often called Silicon Slopes. Companies like Adobe, Qualtrics, Domo, and Pluralsight regularly hire senior engineering talent and have established visa sponsorship infrastructure for qualified international candidates.
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INTRODUCTION
At Collective Health, we’re transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design. The Claims AI Automation team is currently evolving from traditional rule-based adjudication to an intelligence-driven platform. We are seeking a Lead Software Engineer who excels at high-level technical execution. This role is focused on the development and delivery of our Agentic AI strategy, turning architectural blueprints into production-ready systems.
The ideal candidate will be the primary engine for building Python-based AI agents using the Google Cloud (GCP) ecosystem to automate complex claims workflows. You will be responsible for implementing sophisticated LLM behaviors using Gemini.
ROLE AND RESPONSIBILITIES
What you will do:
- Execute Agentic Workflows: Build and deploy sophisticated AI agents using Google Vertex AI and the Google Agent SDK (ADK) based on provided architectural specifications.
- Develop and optimize agent behaviors using Gemini (Pro/Flash) with a focus on reliable tool-calling and multi-step reasoning; implement RAG and grounding strategies to ensure AI agents provide factual, data-driven responses derived from internal claims databases and policy documents.
- Design and implement complex system instructions, few-shot prompting, and Chain-of-Thought reasoning to ensure agents handle claims logic with high precision, performing Supervised Fine-Tuning on Gemini models to improve domain-specific performance in adjudication and medical coding.
- Data & Messaging: Expert in SQL/PostgreSQL/AlloyDB/BigQuery. Understand architectural decisions and actively drive reusable patterns for cloud-native, AI-enabled backend systems.
- Design and implement Stateful Orchestration patterns that incorporate human review breakpoints, ensuring agents can pause, persist state, and resume workflows after auditor approval.
- Implement Input/Output Guardrails and 'Circuit Breaker' logic to detect and intercept non-compliant agent behavior or toxic/hallucinated outputs in real-time before they reach production databases.
- Ability to implement Google Cloud DLP or similar tools within AI pipelines to ensure PHI (Patient Health Information) is never exposed to the model's training or logs.
BASIC QUALIFICATIONS
To be successful in this role, you'll need:
- Expert Python Developer: Exceptional skills in building production-grade applications using frameworks like LangChain, LangGraph, or PydanticAI.
- Gemini & Vertex AI: Hands-on experience building with the Gemini model family and the Google Agent SDK (ADK).
- Vertex AI Mastery: Deep experience with the Vertex AI Python SDK, specifically Reasoning Engine (Runtime), Extensions, and Function Calling.
- Prompt Engineering: Proven ability to engineer high-performance prompts that mitigate hallucinations and ensure deterministic outputs in regulated environments.
- 8+ years of Full-Stack experience with a heavy focus on backend systems.
- AI-First SDLC: Mastery of AI-enhanced development tools (e.g., Cursor, WindSurf, GitHub Copilot) to drive team velocity.
PREFERRED QUALIFICATIONS
- Healthcare Data: Familiarity with healthcare interoperability standards and claims-related data structures.
- Fine-Tuning Expertise: Practical experience in fine-tuning LLMs for specific industry nomenclature or structured output formats.
- Java Proficiency: Working knowledge of Java and Spring Cloud, capable of supporting and extending existing microservice architectures.
OUR TECH STACK
- AI & LLMs: Gemini, Vertex AI, Google ADK, Python, LangChain.
- Existing Backend: Java, Spring Cloud, Spring Boot.
- Data & Messaging: PostgreSQL, Spark, AlloyDB, BigQuery.
- Infrastructure: GCP (Vertex AI, GKE, Cloud Run), Docker.
PAY TRANSPARENCY STATEMENT
This is a hybrid position based out of our Lehi office, with the expectation of being in office at least two weekdays per week.
The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for 205,000 stock options and benefits like health insurance, 401k, and paid time off.
Lehi, UT Pay Range
$138,000—$172,500 USD
WHY JOIN US?
- Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare.
- Impactful projects that shape the future of our organization.
- Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests.
- Flexible work arrangements and a supportive work-life balance.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact recruiting-accommodations@collectivehealth.com.
Privacy Notice
For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/.

INTRODUCTION
At Collective Health, we’re transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design. The Claims AI Automation team is currently evolving from traditional rule-based adjudication to an intelligence-driven platform. We are seeking a Lead Software Engineer who excels at high-level technical execution. This role is focused on the development and delivery of our Agentic AI strategy, turning architectural blueprints into production-ready systems.
The ideal candidate will be the primary engine for building Python-based AI agents using the Google Cloud (GCP) ecosystem to automate complex claims workflows. You will be responsible for implementing sophisticated LLM behaviors using Gemini.
ROLE AND RESPONSIBILITIES
What you will do:
- Execute Agentic Workflows: Build and deploy sophisticated AI agents using Google Vertex AI and the Google Agent SDK (ADK) based on provided architectural specifications.
- Develop and optimize agent behaviors using Gemini (Pro/Flash) with a focus on reliable tool-calling and multi-step reasoning; implement RAG and grounding strategies to ensure AI agents provide factual, data-driven responses derived from internal claims databases and policy documents.
- Design and implement complex system instructions, few-shot prompting, and Chain-of-Thought reasoning to ensure agents handle claims logic with high precision, performing Supervised Fine-Tuning on Gemini models to improve domain-specific performance in adjudication and medical coding.
- Data & Messaging: Expert in SQL/PostgreSQL/AlloyDB/BigQuery. Understand architectural decisions and actively drive reusable patterns for cloud-native, AI-enabled backend systems.
- Design and implement Stateful Orchestration patterns that incorporate human review breakpoints, ensuring agents can pause, persist state, and resume workflows after auditor approval.
- Implement Input/Output Guardrails and 'Circuit Breaker' logic to detect and intercept non-compliant agent behavior or toxic/hallucinated outputs in real-time before they reach production databases.
- Ability to implement Google Cloud DLP or similar tools within AI pipelines to ensure PHI (Patient Health Information) is never exposed to the model's training or logs.
BASIC QUALIFICATIONS
To be successful in this role, you'll need:
- Expert Python Developer: Exceptional skills in building production-grade applications using frameworks like LangChain, LangGraph, or PydanticAI.
- Gemini & Vertex AI: Hands-on experience building with the Gemini model family and the Google Agent SDK (ADK).
- Vertex AI Mastery: Deep experience with the Vertex AI Python SDK, specifically Reasoning Engine (Runtime), Extensions, and Function Calling.
- Prompt Engineering: Proven ability to engineer high-performance prompts that mitigate hallucinations and ensure deterministic outputs in regulated environments.
- 8+ years of Full-Stack experience with a heavy focus on backend systems.
- AI-First SDLC: Mastery of AI-enhanced development tools (e.g., Cursor, WindSurf, GitHub Copilot) to drive team velocity.
PREFERRED QUALIFICATIONS
- Healthcare Data: Familiarity with healthcare interoperability standards and claims-related data structures.
- Fine-Tuning Expertise: Practical experience in fine-tuning LLMs for specific industry nomenclature or structured output formats.
- Java Proficiency: Working knowledge of Java and Spring Cloud, capable of supporting and extending existing microservice architectures.
OUR TECH STACK
- AI & LLMs: Gemini, Vertex AI, Google ADK, Python, LangChain.
- Existing Backend: Java, Spring Cloud, Spring Boot.
- Data & Messaging: PostgreSQL, Spark, AlloyDB, BigQuery.
- Infrastructure: GCP (Vertex AI, GKE, Cloud Run), Docker.
PAY TRANSPARENCY STATEMENT
This is a hybrid position based out of our Lehi office, with the expectation of being in office at least two weekdays per week.
The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for 205,000 stock options and benefits like health insurance, 401k, and paid time off.
Lehi, UT Pay Range
$138,000—$172,500 USD
WHY JOIN US?
- Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare.
- Impactful projects that shape the future of our organization.
- Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests.
- Flexible work arrangements and a supportive work-life balance.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact recruiting-accommodations@collectivehealth.com.
Privacy Notice
For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/.
Lead Software Engineer Job Roles in Utah
See all 36+ Lead Software Engineer Jobs in Utah
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Search Lead Software Engineer Jobs in UtahLead Software Engineer Jobs in Utah: Frequently Asked Questions
Which companies sponsor visas for lead software engineers in Utah?
Utah's Silicon Slopes corridor includes several employers with active visa sponsorship histories for lead software engineers. Adobe's Lehi campus, Qualtrics in Provo and Salt Lake City, Domo, Pluralsight, and enterprise software firms like Instructure and Podium have all filed H-1B Labor Condition Applications for senior engineering roles. Larger tech companies generally have dedicated immigration support teams, making them more experienced with the sponsorship process.
Which visa types are most common for lead software engineer roles in Utah?
The H-1B is the most commonly used visa for lead software engineers in Utah, as the role consistently qualifies as a specialty occupation requiring a relevant bachelor's degree or higher. Candidates already holding L-1B or O-1 status through multinational transfers or demonstrated extraordinary ability also appear in Utah filings. Some employers extend green card sponsorship through the EB-2 or EB-3 categories for senior engineering positions.
Which cities in Utah have the most lead software engineer sponsorship jobs?
Salt Lake City and the Utah County corridor, particularly Lehi and Provo, concentrate the largest share of lead software engineer sponsorship opportunities. Lehi hosts a dense cluster of established tech company offices and startups, while Provo benefits from its proximity to Brigham Young University. Salt Lake City adds enterprise, healthcare technology, and fintech employers to the mix, broadening the range of available senior engineering roles.
How to find lead software engineer visa sponsorship jobs in Utah?
Migrate Mate filters job listings specifically by visa sponsorship status, so you can browse lead software engineer roles in Utah without sorting through positions that exclude international candidates. The platform surfaces openings from Silicon Slopes employers and national companies with Utah offices, saving time spent identifying which postings are realistically accessible to candidates who need H-1B or other work visa support.
Are there any Utah-specific considerations for lead software engineers seeking visa sponsorship?
Utah's prevailing wage requirements for H-1B filings are set at the metropolitan statistical area level, so rates differ between the Salt Lake City MSA and the Provo-Orem MSA. University of Utah and Brigham Young University graduate programs feed engineering talent into the local market, which means some employers already have OPT-to-H-1B pipelines in place. Candidates targeting smaller Silicon Slopes startups should confirm immigration sponsorship capacity early, as not all early-stage companies have prior experience with the H-1B petition process.
What is the prevailing wage for sponsored lead software engineer jobs in Utah?
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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