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Ai Alignment Jobs in Arizona (NOW HIRING)

Rubin Obs

Principal AI Engineer

Tucson, AZ · On-site

$179 - $226/hr

Define and execute NOIRLab's enterprise AI strategy, technical vision, and multi-year roadmap aligned with scientific, engineering, and operational goals. * Identify, evaluate, and prioritize high ...

AURA

Principal AI Engineer

Tucson, AZ · On-site

$179K - $226K/yr

Define and execute NOIRLab's enterprise AI strategy, technical vision, and multi-year roadmap aligned with scientific, engineering, and operational goals. * Identify, evaluate, and prioritize high ...

Teaching with Telescopes

Principal AI Engineer

Tucson, AZ · On-site

$179 - $226/hr

Define and execute NOIRLab's enterprise AI strategy, technical vision, and multi-year roadmap aligned with scientific, engineering, and operational goals. * Identify, evaluate, and prioritize high ...

NOAO

Principal AI Engineer

Tucson, AZ · On-site

Define and execute NOIRLab's enterprise AI strategy, technical vision, and multi-year roadmap aligned with scientific, engineering, and operational goals. * Identify, evaluate, and prioritize high ...

NSF's NOIRLab

Principal AI Engineer

Tucson, AZ · On-site

$179K - $226K/yr

Define and execute NOIRLab's enterprise AI strategy, technical vision, and multi-year roadmap aligned with scientific, engineering, and operational goals. * Identify, evaluate, and prioritize high ...

Trico Electric Cooperative

Manager IT/ AI

Marana, AZ · On-site

... delivery in alignment with service level objectives. * Manage the procurement, deployment ... Establish AI governance and operational controls, ensuring AI agents operate within approved ...

Consumer Cellular

Senior AI Engineer

Scottsdale, AZ · On-site

$55.75 - $71.75/hr

Develop and execute Consumer Cellular's enterprise AI strategy aligned with business priorities. * Identify opportunities where Artificial Intelligence can fundamentally improve operations, customer ...

Trico Electric Cooperative

Manager IT/ AI

Marana, AZ · On-site

$105K - $130K/yr

... delivery in alignment with service level objectives. * Manage the procurement, deployment ... Direct AI agent development and orchestration, including use‑case design, prompt engineering ...

onsemi

Cybersecurity AI Architect

Scottsdale, AZ · On-site

This role is centered on co-designing scalable and secure architectures that align technology ... AI Architecture Technical Committee Enablement * Serve as a trusted advisor by preparing ...

Confiz Limited

Principal AI Engineer

Phoenix, AZ · On-site

$180 - $230/hr

Design and architect AI/ML solutions, including LLM-based applications, agentic systems, and predictive models, aligned with business objectives. * Define data architecture and pipelines using ...

Trico Electric Cooperative

AI Developer

Marana, AZ · On-site

$111K - $130K/yr

Join Our Team as a AI Developer at Trico Electric Cooperative! Posting Period: Tuesday, July 21 ... align with the dynamic needs of our communities. We understand the importance of staying ahead of ...

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All JobsAi Alignment JobsAi Alignment Jobs in Arizona

Ai Alignment information

What is AI alignment?

AI alignment refers to the process of ensuring that artificial intelligence systems act in ways that are aligned with human values, intentions, and ethical standards. This field focuses on designing AI models that not only achieve their objectives but also do so safely and beneficially for humanity. As AI systems become more advanced, alignment becomes increasingly important to prevent unintended consequences or harmful behaviors. Researchers in AI alignment work on technical solutions, such as value learning and interpretability, as well as broader ethical and policy considerations.

What is the difference between Ai Alignment vs Data Scientist?

AspectAi AlignmentData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fieldsDegree in Data Science, Statistics, Computer Science, or related fields
Work EnvironmentResearch labs, AI development companies, tech firmsTech companies, finance, healthcare, consulting firms
Industry UsageFocuses on ensuring AI systems behave as intendedAnalyzes data to extract insights and build predictive models

While both roles involve advanced technical skills, Ai Alignment specialists focus on aligning AI systems with human values and safety, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI research environments but serve different primary objectives.

What are some common challenges faced by professionals working in AI alignment roles?

Professionals in AI alignment roles often encounter the challenge of translating complex ethical principles and human values into machine-understandable objectives. Balancing technical constraints with theoretical considerations requires close collaboration with cross-functional teams, including ethicists, engineers, and product managers. Additionally, the rapidly evolving landscape of artificial intelligence demands continuous learning to stay current with new alignment techniques and research findings. Navigating these challenges can be intellectually stimulating and offers significant opportunities for interdisciplinary growth.

What are the key skills and qualifications needed to thrive as an AI alignment specialist, and why are they important?

To thrive as an AI Alignment Specialist, you need a strong background in computer science, mathematics, and machine learning, often evidenced by an advanced degree in a related field. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and formal verification systems is typically required, along with understanding of AI safety principles. Analytical thinking, ethical reasoning, and effective communication are crucial soft skills for success in this role. These skills ensure that AI systems are developed safely, ethically, and in alignment with human values, which is essential for mitigating risks associated with advanced AI.
What are popular job titles related to Ai Alignment jobs in Arizona? For Ai Alignment jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Ai Alignment jobs in Arizona look for? The top searched job categories for Ai Alignment jobs in Arizona are:
What cities in Arizona are hiring for Ai Alignment jobs? Cities in Arizona with the most Ai Alignment job openings:
Ai Alignment jobs near you
Infographic showing various Ai Alignment job openings in Arizona as of August 2026, with employment types broken down into 67% Full Time, and 33% Temporary. Highlights an 100% In-person job distribution.

Network Engineer, AI Infrastructure Repair

Meta

Mesa, AZ

$193K/yr

Full-time

Re-posted 4 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies

Job description

Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network engineering. In this role, you will lead the strategy and execution for AI network repair and remediation programs, ensuring that the high-performance fabrics underpinning Meta's AI training and inference clusters remain operational, resilient, and optimized. You will drive cross-functional initiatives spanning network deployment, fault diagnosis, and repair automation across Meta's AI data center environments, shaping the systems and processes that keep AI infrastructure at scale.
Network Engineer, AI Infrastructure Repair Responsibilities:
  • Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments supporting machine learning workloads
  • Lead root cause analysis and resolution of complex network faults affecting high-performance AI training and inference fabrics, including RDMA, high-speed Ethernet, and optical interconnect layers
  • Develop and champion novel approaches to network fault detection, automated remediation, and repair workflow optimization for AI cluster infrastructure
  • Partner with hardware, software, and data center operations teams to align network repair programs with AI infrastructure deployment roadmaps and capacity plans
  • Establish and refine operational frameworks, runbooks, and tooling for network repair at scale, reducing mean time to repair across AI fabric environments
  • Identify systemic reliability risks in AI network infrastructure and drive cross-functional initiatives to address them before they impact production workloads
  • Influence the design of next-generation AI network architectures by contributing repair and reliability insights to hardware and topology decisions
  • Leverage AI-driven analytics and automation tools to redesign repair workflows, accelerating fault identification and resolution across distributed network environments
  • Build and maintain strategic relationships with internal engineering, operations, and vendor partners to ensure repair programs scale with AI infrastructure growth
  • Communicate program status, risk, and strategic recommendations to engineering leaders and cross-functional stakeholders through structured reporting and executive briefings

Minimum Qualifications:
  • Experience influencing technical direction and organizational strategy through data-driven analysis, written proposals, and stakeholder alignment across engineering and operations teams
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience leading cross-functional programs that span network operations, hardware deployment, and infrastructure reliability at data center scale
  • Experience developing and driving strategy for network fault management, repair automation, or remediation programs in production environments
  • Experience designing, deploying, or operating high-speed network fabrics used in AI or machine learning infrastructure, including technologies such as RDMA over Converged Ethernet, InfiniBand, or high-density optical interconnects
  • 12+ years of experience in network engineering, with a focus on large-scale data center or high-performance computing network environments

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with network telemetry platforms, observability tooling, or AI-assisted anomaly detection applied to large-scale fabric environments
  • Experience building or scaling repair operations programs, including workforce planning, tooling development, and process standardization across multiple data center sites
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Track record of contributing to network hardware or topology design reviews, translating operational repair insights into upstream engineering improvements
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Familiarity with AI accelerator interconnect architectures and the network reliability requirements of distributed training workloads at hyperscale

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$193,000/year to $271,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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