Software Engineer AI Visa Sponsorship Jobs in Utah
Utah's AI-driven tech sector spans Salt Lake City, Provo, and the Silicon Slopes corridor, where companies like Adobe, Qualtrics, and Pluralsight regularly hire software engineers working on machine learning and AI systems. International candidates will find a growing concentration of H-1B sponsoring employers building AI products across enterprise software, fintech, and healthtech.
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Get Access To All JobsINTRODUCTION
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/.
Software Engineer AI Job Roles in Utah
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Search Software Engineer AI Jobs in UtahSoftware Engineer AI Jobs in Utah: Frequently Asked Questions
Which companies sponsor visas for software engineers in AI roles in Utah?
Adobe, Qualtrics, Pluralsight, and Domo have established H-1B sponsorship histories in Utah for software engineering roles involving AI and machine learning. A number of mid-size fintech and healthtech companies along the Silicon Slopes corridor also file H-1B petitions for AI-focused engineering positions. Sponsorship patterns vary by team and hiring cycle, so confirming directly with employers is important.
What visa types are most commonly used for software engineer AI roles in Utah?
The H-1B is the most common visa category for AI software engineers in Utah, as these roles typically qualify as specialty occupations requiring a bachelor's degree or higher in computer science, machine learning, or a related field. F-1 OPT and STEM OPT extensions are also widely used by recent graduates before transitioning to H-1B sponsorship. Candidates with extraordinary ability in AI research may qualify for the O-1A.
Which cities in Utah have the most software engineer AI sponsorship jobs?
Salt Lake City and Lehi account for the majority of AI software engineering sponsorship activity in Utah. Lehi, at the heart of the Silicon Slopes tech corridor, hosts a high density of software companies with active AI engineering teams. Provo also has a meaningful presence, supported by the Brigham Young University talent pipeline and a cluster of B2B software companies that hire internationally.
How to find software engineer ai visa sponsorship jobs in Utah?
Migrate Mate filters job listings specifically for visa sponsorship eligibility, making it easier to identify AI software engineering roles in Utah where employers are open to sponsoring international candidates. You can search by role and state to surface relevant openings across Salt Lake City, Lehi, and Provo. Filtering by sponsorship status saves significant time compared to screening general job postings manually.
Are there any Utah-specific factors that affect visa sponsorship for AI software engineers?
Utah's concentration of private software companies along Silicon Slopes means many sponsoring employers are mid-size or growth-stage firms rather than large multinationals, which can affect the sponsorship process since smaller companies may be filing H-1B petitions less frequently. BYU and the University of Utah both produce AI and machine learning graduates, creating a local pipeline that some employers tap before extending international sponsorship. STEM OPT authorization is common for graduates from these programs.
What is the prevailing wage for sponsored software engineer ai 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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