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Llm Jobs in Utah (NOW HIRING)

Sr AI Security Engineer

Layton, UT ยท On-site

$120 - $194/hr

Conduct hands-on security testing of LLM, RAG, and agentic AI solutions. * Identify vulnerabilities including prompt injection, sensitive-data exposure, insecure retrieval, excessive permissions ...

Senior AI Security Engineer

Salt Lake City, UT ยท On-site +1

$110K - $151K/yr

Collaborate on designing secure-by-default patterns for LLM integration, agentic workflows, retrieval-augmented generation (RAG) pipelines, and MCP server deployments across firm systems * Lead ...

Leverages deep expertise in Generative AI, Agentic AI systems, LLM orchestration, and MLOps skillsets to translate complex AI capabilities into production systems and reusable components.

Leverages deep expertise in Generative AI, Agentic AI systems, LLM orchestration, and MLOps skillsets to translate complex AI capabilities into production systems and reusable components.

Staff, AI Platform Engineer

Lehi, UT ยท On-site

$165 - $240/hr

Familiarity with LLM evaluation, prompt evaluation, model regression testing, or safety guardrails * Strong communication skills and ability to set standards across teams Preferred Qualifications:

New

Own golden datasets, regression suites, offline and online evals, and LLM-as-judge governance. * Develop observability for model quality, latency, cost, drift, safety, and customer impact. * Create ...

Own golden datasets, regression suites, offline and online evals, and LLM-as-judge governance. * Develop observability for model quality, latency, cost, drift, safety, and customer impact. * Create ...

New

Own golden datasets, regression suites, offline and online evals, and LLM-as-judge governance. * Develop observability for model quality, latency, cost, drift, safety, and customer impact. * Create ...

Depending on your team, you might be building LLM-powered applications, developing multimodal AI systems, designing evaluation frameworks, or deploying models that directly shape how customers ...

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Showing results 1-20

Llm information

See Utah salary details

$78.2K

$131.3K

$167.5K

How much do llm jobs pay per year?

As of Sep 5, 2026, the average yearly pay for llm in Utah is $131,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $145,000.00 per year, depending on experience, location, and employer.

What is an LLM?

LLMs, or Large Language Models, are advanced artificial intelligence systems designed to understand and generate human-like text based on vast amounts of data. These models, such as OpenAI's GPT series, are trained on diverse datasets and can perform a range of tasks, including answering questions, writing content, translating languages, and more. LLMs work by predicting the next word in a sequence, allowing them to create coherent and contextually relevant responses. They are widely used in applications like chatbots, virtual assistants, and automated content generation.

What are the key skills and qualifications needed to thrive as an LL.M. graduate?

To thrive as an LLM graduate, you need advanced knowledge of legal principles, strong research and analytical skills, and a prior law degree such as an LLB or JD. Familiarity with legal databases, research tools like Westlaw or LexisNexis, and sometimes bar admission or certification in specific jurisdictions is advantageous. Exceptional written and verbal communication, attention to detail, and cross-cultural competence are standout soft skills in this field. These abilities are crucial for interpreting complex legal issues, advising clients, and succeeding in global or specialized legal practice.

What are some common challenges faced by professionals working with large language models and how can they be addressed?

Professionals working with large language models often encounter challenges such as managing computational resource demands, ensuring data privacy, and mitigating biases in model outputs. Collaboration with data engineers and IT teams is essential to optimize infrastructure and streamline model deployment. Staying updated on best practices and regulatory guidelines helps address ethical concerns and improve model performance. Continuous monitoring and iteration are key to maintaining accuracy and relevance in real-world applications.

What is the difference between Llm vs Paralegal?

AspectLlmParalegal
Required CredentialsLaw degree (JD or equivalent), possibly an LLM for specializationAssociate's degree or certificate in paralegal studies
Work EnvironmentLaw firms, corporate legal departments, academiaLaw firms, corporate legal departments, government agencies
Industry UsageLegal practice, academia, researchLegal support, case preparation, client communication

The main difference is that an Llm is an advanced law degree for specialization or academic purposes, while a paralegal provides legal support and case assistance without being licensed to practice law. Both roles work closely within legal environments, but the Llm is more focused on legal expertise and research, whereas paralegals handle administrative and preparatory tasks.

What jobs can I do with a large language model?

A large language model (LLM) can be used in roles such as AI researcher, NLP engineer, data scientist, or machine learning engineer, focusing on developing and deploying AI applications. These jobs typically require skills in programming, data analysis, and understanding of AI frameworks like TensorFlow or PyTorch.

Which large language model is most in demand?

The most in-demand large language models for jobs like LLM development and deployment are OpenAI's GPT-4 and GPT-3, as well as Google's PaLM and Meta's LLaMA. Skills in fine-tuning, prompt engineering, and understanding these models are highly sought after in the AI industry.

What are the most commonly searched types of Llm jobs in Utah?

The most popular types of Llm jobs in Utah are:

What cities in Utah are hiring for Llm jobs?

Cities in Utah with the most Llm job openings:

Infographic showing various Llm job openings in Utah as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $131,319 per year, or $63.1 per hour.

Sr AI Security Engineer

Healthfirst

Layton, UT โ€ข On-site

$120 - $194/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago


Job description

The Sr AI Security Engineer continuously monitors the vulnerability of the enterprise and develops engineering solutions to improve the security of the Healthfirst infrastructure. The Sr AI Security Engineer applies expertise across the Cyber Security discipline by demonstrating competency in IT Infrastructure and Application Development. The ideal candidate has a strong background in application, product, or cloud security combined with handsโ€‘on knowledge of modern AI technologies such as LLMs, Retrieval-Augmented Generation (RAG), and AI agents.

Duties and Responsibilities:
  • Perform security architecture reviews and threat modeling for AI-enabled applications.
  • Conduct hands-on security testing of LLM, RAG, and agentic AI solutions.
  • Identify vulnerabilities including prompt injection, sensitive-data exposure, insecure retrieval, excessive permissions, unsafe tool use, and authorization weaknesses.
  • Assess security risks associated with AI agents, APIs, model integrations, vector databases, and thirdโ€‘party AI services.
  • Partner with developers and AI engineering teams to design and implement practical security controls.
  • Develop reusable security patterns and guardrails for common AI architectures.
  • Build or automate security tests and tools used to evaluate AI applications.
  • Help protect PHI, PII, credentials, and other sensitive information used by AI systems.
  • Evaluate emerging AI security threats and translate relevant findings into engineering guidance.
  • Support the organizationโ€™s broader application security and secure AI development practices.
  • Help ensure AI systems handling sensitive healthcare and enterprise information are designed with appropriate security and privacy controls.
  • Assess how PHI, PII, and other sensitive information moves through prompts, models, APIs, retrieval systems, embeddings, vector stores, logs, agents, and downstream systems.
  • Partner with privacy, compliance, legal, risk, and AI governance teams to translate requirements into practical technical controls.
  • Support secure and responsible AI adoption consistent with organizational policies and applicable healthcare and regulatory requirements.
  • Additional duties as required.
Minimum Qualifications:
  • Technical Degree in Computer Science or Cyber Security and/or equivalent work experience
  • Prior work Cyber Security work experience
  • Experience in security engineering, vulnerability assessment, threat hunting, and incident response
  • High School diploma or GED from an accredited institution
Preferred Qualifications:
  • 5+ years of experience in application security, product security, security engineering, cloud security, offensive security, or a related technical security discipline.
  • Strong understanding of application and API security, authentication, authorization, identity, data protection, and secure software development.
  • Handsโ€‘on experience with security architecture reviews, threat modeling, vulnerability assessment, penetration testing, or security testing.
  • Working knowledge of modern AI application architectures, including LLMs, model APIs, RAG, vector databases, and AI agents.
  • Understanding of AI security risks such as prompt injection, data leakage, insecure output handling, excessive agency, and unsafe tool or API access.
  • Programming or scripting experience, preferably Python.
  • Experience working with cloudโ€‘based applications and services.
  • Ability to communicate technical security risks and remediation recommendations effectively to engineering teams.
  • Experience securing production generative AI or LLM applications.
  • Experience with AI/LLM security testing or red teaming.
  • Familiarity with agentic AI security, including tool permissions and leastโ€‘privilege access.
  • Familiarity with Model Context Protocol (MCP) security considerations.
  • Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, or comparable AI platforms.
  • Familiarity with OWASP guidance for LLM/GenAI applications, MITRE ATLAS, or NIST AI security guidance.
  • Experience working with PHI, PII, or other sensitive data in a regulated environment.
  • Experience integrating security testing into CI/CD or DevSecOps workflows.
  • Experience with software supplyโ€‘chain security and SBOM practices, including assessing thirdโ€‘party libraries, dependencies, models, prompts, and other AI application components for security risk.
  • Experience designing secure tool and API consumption patterns for agentic AI, including authentication, authorization, least privilege, trust boundaries, credential management, and control of agent actions.
  • Experience reviewing or implementing Infrastructure as Code (IaC) and applying security controls to cloud and AI infrastructure; experience with Terraform, Bicep, CloudFormation, or comparable frameworks preferred.
Compliance and Regulatory Responsibilities:

See Above

License/Certification:

See Above

WE ARE AN EQUAL OPPORTUNITY EMPLOYER.

HF Management Services, LLC complies with all applicable laws and regulations. Applicants and employees are considered for positions and are evaluated without regard to race, color, creed, religion, sex, national origin, sexual orientation, pregnancy, age, disability, genetic information, domestic violence victim status, gender and/or gender identity or expression, military status, veteran status, citizenship or immigration status, height and weight, familial status, marital status, or unemployment status, as well as any other legally protected basis. HF Management Services, LLC shall not discriminate against any disabled employee or applicant in regard to any position for which the employee or applicant is otherwise qualified. If you have a disability under the Americans with Disability Act or a similar law and want a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to careers@Healthfirst.org or calling 212-519-1798 . In your email please include a description of the accommodation you are requesting and a description of the position for which you are applying. Only reasonable accommodation requests related to applying for a position within HF Management Services, LLC will be reviewed at the eโ€‘mail address and phone number supplied. Thank you for considering a career with HF Management Services, LLC.

Know Your Rights

All hiring and recruitment at Healthfirst is transacted with a valid โ€œ@healthfirst.orgโ€ email address only or from a recruitment firm representing our Company. Any recruitment firm representing Healthfirst will readily provide you with the name and contact information of the recruiting professional representing the opportunity you are inquiring about. If you receive a communication from a sender whose domain is not @healthfirst.org, or not one of our recruitment partners, please be aware that those communications are not coming from or authorized by Healthfirst. Healthfirst will never ask you for money during the recruitment or onboarding process.

Hiring Range*

Greater New York City Area (NY, NJ, CT residents): $134,600 - $194,480 All Other Locations (within approved locations): $119,600 - $177,905

As a candidate for this position, your salary and related elements of compensation will be contingent upon your work experience, education, licenses and certifications, and any other factors Healthfirst deems pertinent to the hiring decision.

In addition to your salary, Healthfirst offers employees a full range of benefits such as, medical, dental and vision coverage, incentive and recognition programs, life insurance, and 401k contributions (all benefits are subject to eligibility requirements).

Healthfirst believes in providing a competitive compensation and benefits package wherever its employees work and live.

*The hiring range is defined as the lowest and highest salaries that Healthfirst in โ€œgood faithโ€ would pay to a new hire, or for a job promotion, or transfer into this role.

Healthfirst is New Yorkโ€™s largest not-for-profit health insurer offering itโ€™s nearly 1.7 million members access to high-quality, affordable healthcare.

As part of the community for nearly 30 years, Healthfirstโ€™s unique advantage is rooted in its belief that good health doesnโ€™t start in a doctorโ€™s office.

The companyโ€™s mission is to put its members first by working closely with care providers and community leaders to address broader issues that can impact health and wellโ€‘being.

This valueโ€‘based care model is the foundation of the companyโ€™s sustained growth in one of the most dynamic markets in the country.

So, if you are passionate about what you do and want to work for a company that is focused on the future and dedicated to making a difference in peopleโ€™s lives, then Healthfirst is for you.

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