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Large Language Model Llm Jobs in Arizona (NOW HIRING)

Rubin Obs

Principal Software Architect

Tucson, AZ · On-site

$155.67 - $189.56/hr

Evaluate and adopt emerging technologies, including artificial intelligence (AI), machine learning (ML), generative AI, and large language model (LLM) solutions, where they deliver measurable ...

AURA

Principal Software Architect

Tucson, AZ · On-site

$155K - $189K/yr

Evaluate and adopt emerging technologies, including artificial intelligence (AI), machine learning (ML), generative AI, and large language model (LLM) solutions, where they deliver measurable ...

Deloitte

Lead Agentic Software Engineer II

Tempe, AZ

... large language model (LLM), or agentic application solutions in production, enterprise, or client-facing environments * 1+ years of experience implementing LLM orchestration, prompt workflows, tool ...

Intel

Senior AI / Data Science Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

Develop and deploy Large Language Model (LLM) and Generative AI applications that improve engineering productivity, accelerate troubleshooting, and enhance knowledge discovery. * Analyze large-scale ...

SmartRent

Application Security Engineer

Phoenix, AZ · On-site

$58.25 - $78/hr

Use cloud-native security tools to identify and secure large language model (LLM) integrations and implement appropriate security guardrails. Required Qualifications * 4-6 years of experience in ...

SmartRent

Application Security Engineer

Phoenix, AZ · On-site

$58.25 - $78/hr

Use cloud-native security tools to identify and secure large language model (LLM) integrations and implement appropriate security guardrails. Required Qualifications * 4-6 years of experience in ...

Relativity

Software Engineer

Phoenix, AZ · On-site

Experience working with large language model (LLM) APIs or generative AI systems * Experience designing and building scalable systems in Azure or other cloud platforms * Experience with Kubernetes ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

... Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

... Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM ...

Slalom Consulting

General Information

Phoenix, AZ · On-site

Lead the design and delivery of enterprise AI solutions using Anthropic technologies, including large language model integrations, agentic workflows, and retrieval-augmented generation pipelines, to ...

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All JobsLarge Language Model Llm JobsLarge Language Model Llm Jobs in Arizona

Large Language Model Llm information

What is a large language model llm?

A Large Language Model (LLM) job typically involves working with advanced AI models designed to understand and generate human-like text. Roles in this field may include research, data engineering, model fine-tuning, prompt engineering, or application development. Professionals in LLM jobs often work with machine learning algorithms, natural language processing (NLP), and large-scale datasets to enhance AI capabilities. These roles are common in AI-driven industries, including tech companies, research institutions, and startups. Strong programming skills, knowledge of deep learning frameworks, and expertise in NLP are often required.

What are some common challenges faced by large language model llm engineers in their day-to-day work?

LLM Engineers often encounter challenges related to scaling models efficiently, optimizing performance on large and complex datasets, and ensuring the responsible use of AI technologies. Balancing the trade-offs between model accuracy, speed, and ethical considerations can be demanding, especially as real-world applications often require rapid iterations and rigorous testing. Additionally, staying updated with the latest research advancements and integrating new methods into production systems is an ongoing responsibility. Many engineers tackle these challenges by working closely with data scientists, researchers, and product teams in collaborative, agile environments.

What are the key skills and qualifications needed to thrive in the large language model llm position?

Excelling in the role of a Large Language Model (LLM) Engineer requires strong expertise in natural language processing, machine learning, and computer programming, often supported by an advanced degree in computer science or a related field. Familiarity with industry-standard frameworks like PyTorch or TensorFlow, as well as experience with cloud computing platforms and large-scale data management, is highly valued. Communication, creativity, and problem-solving are essential soft skills to effectively collaborate with cross-functional teams and innovate solutions. These skills ensure the development, deployment, and refinement of powerful language models that can address diverse business needs and technical challenges.

What jobs can I do with large language model?

Large Language Models (LLMs) are used in roles such as AI research scientist, NLP engineer, data scientist, and machine learning engineer. These jobs involve developing, fine-tuning, and deploying LLMs for applications like chatbots, content generation, and language understanding, often requiring skills in programming, data analysis, and deep learning frameworks.

What are the most commonly searched types of Large Language Model Llm jobs in Arizona?

The most popular types of Large Language Model Llm jobs in Arizona are:

What are popular job titles related to Large Language Model Llm jobs in Arizona?

For Large Language Model Llm jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Large Language Model Llm jobs in Arizona look for?

The top searched job categories for Large Language Model Llm jobs in Arizona are:

Large Language Model Llm jobs near you
Infographic showing various Large Language Model Llm job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Principal Software Architect

Association Of Universities For Research In Astronomy

Tucson, AZ • On-site

Full-time

Retirement, PTO

Re-posted 14 days ago

Job description

NOIRLab is seeking a visionary Principal Software Architect to lead the architectural strategy and technical evolution of software systems that power world-class astronomical research, observatory operations, and scientific data management.

In this highly influential leadership role, you will define the technology roadmap for a diverse portfolio of scientific and operational platforms spanning cloud computing, distributed systems, high-performance computing (HPC), data-intensive applications, and AI-enabled technologies. You will drive modernization efforts that advance scientific discovery, improve engineering productivity, and ensure the reliability and scalability of mission-critical systems supporting some of the world's most advanced astronomical facilities.

Working closely with scientists, software engineers, data specialists, and operations teams, you will provide hands-on technical leadership, translate complex scientific requirements into innovative software solutions, and establish architectural standards that enable long-term sustainability and growth.

This is a unique opportunity to shape the future of scientific software and enable transformational discoveries through technology.

Essential FunctionsArchitectural Leadership & Technology Strategy
  • Define and execute the architectural vision, technology roadmap, and long-term strategy for NOIRLab's scientific and operational software ecosystem.
  • Establish enterprise-scale architecture principles, engineering standards, governance processes, and best practices.
  • Lead architectural reviews and guide critical technology decisions across software, data, infrastructure, and operational domains.
  • Partner with scientific and engineering stakeholders to translate complex requirements into scalable, secure, and resilient solutions.
  • Identify and address architectural risks, technical debt, and modernization opportunities across the software portfolio.
  • Champion modernization initiatives that improve system scalability, reliability, maintainability, and operational efficiency while supporting uninterrupted scientific operations.
System Design & Engineering Excellence
  • Architect and evolve cloud-native, containerized, distributed, and HPC-based platforms supporting observatory operations, scientific data pipelines, user services, and large-scale data processing systems.
  • Design solutions capable of managing petabyte-scale datasets and computationally intensive scientific workloads.
  • Develop reference architectures, prototypes, and technical frameworks that accelerate solution delivery and consistency across teams.
  • Drive adoption of DevSecOps practices, Infrastructure as Code (IaC), CI/CD pipelines, automated testing, observability, and site reliability engineering principles.
  • Participate in architecture reviews, design reviews, code reviews, and implementation of critical software components.
Innovation & Technical Enablement
  • Evaluate and adopt emerging technologies, including artificial intelligence (AI), machine learning (ML), generative AI, and large language model (LLM) solutions, where they deliver measurable scientific, engineering, or operational value.
  • Serve as a trusted technical mentor and thought leader across engineering teams.
  • Foster collaboration, knowledge sharing, and architectural consistency across science, software, data, and operations organizations.
  • Help advance software engineering practices that support innovation, quality, and long-term sustainability.
Additional Responsibilities
  • Perform other duties as assigned.
  • Ensure compliance with AURA property management requirements and organizational policies.
  • Support compliance with applicable government award terms and conditions as defined in organizational award management systems.
Requirements
Education & Experience
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field; equivalent professional experience will be considered.
  • 15+ years of progressive software engineering experience, including experience as a Software Architect, Principal Engineer, Distinguished Engineer, or similar technical leadership role.
  • Demonstrated success designing, delivering, and evolving large-scale distributed and data-intensive software systems.
Technical Expertise
  • Deep expertise in software architecture, system design, API design, scalability, resilience, reliability, and distributed systems.
  • Experience designing and operating cloud-native, containerized, microservices-based applications and platforms.
  • Strong background in multiple programming languages and modern software development methodologies.
  • Experience building and managing platforms that process and store petabyte-scale data.
  • Experience with scientific computing, high-performance computing (HPC), distributed computing, or large-scale computational environments.
  • Experience designing data pipelines, workflow orchestration systems, and data-intensive platforms.
  • Knowledge of event-driven architectures, messaging systems, and asynchronous processing patterns.
  • Experience with DevSecOps, CI/CD, Infrastructure as Code, monitoring, observability, and software delivery automation.
  • Understanding of secure software development practices, including authentication, authorization, and data protection.
  • Experience evaluating, integrating, or leveraging AI/ML, generative AI, or LLM-powered capabilities within software platforms or engineering workflows.
Leadership Skills
  • Exceptional communication and collaboration skills, with the ability to work effectively across scientific, engineering, and operational organizations.
  • Demonstrated ability to influence technical direction, mentor engineers, and lead through architectural expertise rather than direct authority.
  • Proven hands-on leadership experience through architecture design, prototyping, technical guidance, and code reviews.
Preferred Qualifications
  • Experience developing software for scientific, research, or data-intensive environments.
  • Experience supporting scientific instrumentation, observatory operations, or large-scale scientific data pipelines.
  • Experience contributing to or leading open-source software projects.
  • Experience working in astronomy, astrophysics, earth sciences, national laboratories, research institutions, or other mission-driven scientific organizations.
Work Environment

This position operates in a professional office environment and routinely utilizes standard office equipment, including computers, phones, and copiers. The work environment is generally quiet and may involve working in close proximity to others, depending on the needs of the specific function

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Must be able to remain in a stationary position at least 50% of the time.

  • Occasional need to move about inside the office environment to access files, office tools, attendance in a meeting room, etc.

  • Constantly operates a computer and other office productivity tools that require fine motor skills, such as a calculator, copy machine, computer printer, etc.

  • May occasionally need to position self to maintain computer and related tools.

  • Seldomly needed to move objects up to 10 pounds.

  • Constant communication with other individuals. Must be able to discern and exchange information as appropriate to the situation.

  • Constant need to distinguish, discern, and identify a variety of objects and fine details with accuracy.

  • Occasional work at high elevation summit sites may be required (summit elevations range from 6,800 feet to 14,000 feet) 

The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities and skills required by personnel so classified. This Institute promotes Equal Employment Opportunity workplace that includes reasonable accommodations to otherwise qualified, disabled applicants and employees.

Salary Range: $155,673 – $189,559 per year. The final salary will depend on skills, qualifications and experience.

AURA offers an excellent benefits package including paid time off and retirement plan contributions, competitive salary commensurate with experience, and a very attractive work environment. Details on benefits can be found at Benefits by Location - Aura Human Resources

This position will remain open until it is filled. Please submit a cover letter and a CV or resume, PDF files preferred. Please name any attachments with the following format: LastName DocName.

Individuals needing assistance with the employment process can request assistance here.

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