ZipRecruiter

Log In

1

Level Ai Jobs in Arizona (NOW HIRING)

AccusourceHR Career Page

Senior Product Manager, AI

Phoenix, AZ · On-site

$110K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Establish product-level AI governance practices, including evaluation criteria, monitoring, documentation, user transparency, audit trails, and release controls. * Define KPIs for adoption, workflow ...

AIAEC LLC

Senior Python Backend Engineer

Phoenix, AZ · On-site

You will bridge the gap between high-level AI research and production-grade software, ensuring our infrastructure is scalable, observable, and resilient. Key Responsibilities : ? API Architecture:

State Farm

Lead AWS FinOps Analyst

Tempe, AZ · Hybrid

$69K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

AI Cost Visibility & Token Economics- Establish and operationalize cost models (token, model, agent level) and enable enterprise-level AI cost transparency. * Partner with cloud platform teams to ...

next page

Showing results 1-20

All JobsLevel Ai JobsLevel Ai Jobs in Arizona

Level Ai information

See Arizona salary details

$10.3K

$80.8K

$105.3K

How much do level ai jobs pay per year?

As of Aug 17, 2026, the average yearly pay for level ai in Arizona is $80,763.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $100,200.00 per year, depending on experience, location, and employer.

What is a Level AI engineer?

A Level AI Engineer is a professional who specializes in developing and deploying artificial intelligence systems at a specific proficiency or seniority level within an organization. Their responsibilities typically include designing machine learning models, optimizing algorithms, and integrating AI solutions into products or services. The term 'Level' usually refers to the engineer's experience, skill set, and role within the company, such as junior, mid-level, or senior AI engineer. These professionals often work closely with data scientists, software engineers, and product teams to deliver intelligent solutions. Their work is essential for advancing automation, analytics, and decision-making capabilities in various industries.

What are the key skills and qualifications needed to thrive as a Level AI engineer?

To thrive as a Level AI Engineer, a strong background in computer science, mathematics, and experience with machine learning algorithms is essential, often supported by a relevant degree. Proficiency with programming languages such as Python, frameworks like TensorFlow or PyTorch, and knowledge of cloud computing platforms are typically required. Analytical thinking, problem-solving skills, and effective collaboration make individuals stand out in this role. These skills are crucial for developing, deploying, and optimizing AI solutions that meet complex business and technical needs.

What are typical challenges faced by Level AI specialists when implementing AI solutions in real-world business environments?

Level AI specialists often encounter challenges such as integrating AI systems with existing legacy infrastructure, ensuring data quality and privacy, and managing stakeholders’ expectations regarding AI capabilities. Collaboration with cross-functional teams like IT, data engineering, and business units is crucial to align technical solutions with organizational goals. Additionally, staying up-to-date with evolving AI technologies and regulatory compliance requirements is essential for long-term success in this role.

What is the difference between Level Ai vs Data Analyst?

AspectLevel AiData Analyst
Required CredentialsTypically requires knowledge of AI tools, programming, and data science certificationsOften requires a bachelor's degree in statistics, mathematics, or related fields; certifications like Microsoft Excel or Tableau are common
Work EnvironmentTech-focused, often in AI development teams or startupsBusiness or corporate settings, analyzing data to inform decisions
Employer & Industry UsageUsed in AI and machine learning companies, tech firmsUsed across industries like finance, marketing, healthcare, and more
Search & Comparison IntentUnderstanding AI-specific roles, career paths in AIAnalyzing data, reporting, and insights generation

Level Ai and Data Analyst roles share overlapping skills in data handling and analysis. However, Level Ai focuses more on AI tools and machine learning, while Data Analysts primarily interpret data to support business decisions. The choice depends on your interest in AI development versus data reporting and analysis.

Do entry-level artificial intelligence jobs exist?

Yes, entry-level artificial intelligence jobs are available and typically require foundational skills in programming, data analysis, and machine learning. These roles often include titles like AI analyst, junior data scientist, or machine learning engineer and may require familiarity with tools such as Python, TensorFlow, or scikit-learn.

What are popular job titles related to Level Ai jobs in Arizona?

For Level Ai jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Level Ai jobs in Arizona look for?

The top searched job categories for Level Ai jobs in Arizona are:

What cities in Arizona are hiring for Level Ai jobs?

Cities in Arizona with the most Level Ai job openings:

Level Ai jobs near you
Infographic showing various Level Ai job openings in Arizona as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 2% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $80,763 per year, or $38.8 per hour.

Data Analyst - Data Management, Governance & Emerging AI

Northern Base

Phoenix, AZ • On-site

Full-time

Posted 3 days ago

New

Job description

Hiring Alert | Data Analyst – Data Management, Governance & Emerging AI

Location: Phoenix, AZ (Onsite)
Employment Type: Full-Time
Experience Required: 2–4 Years
Visa Type: USC / GC Only
 

Must-Have Skills:

  • SQL
  • Data Analysis & Analytics
  • Data Governance
  • Data Quality Management
  • Metadata & Data Lineage Management
  • Data Reporting & Visualization
  • Cloud Data Platforms – GCP
  • Data Integration & ETL
  • AI/ML Fundamentals
  • Data Management & Regulatory Compliance

Key Responsibilities:

  • Analyze and interpret large financial datasets to generate actionable business insights
  • Support data quality, data lineage, metadata, master data, and data lifecycle initiatives
  • Implement and maintain data governance frameworks, policies, standards, and controls
  • Collaborate with engineers, data stewards, product managers, and business stakeholders to ensure data accuracy and consistency
  • Develop and maintain reports, dashboards, KPIs, and analytical models
  • Support cloud data platform initiatives, including migration, integration, automation, and optimization
  • Prepare, validate, and govern datasets for AI/ML model development and deployment
  • Gain hands-on exposure to LLMs, RAG, and Agentic AI technologies
  • Support testing, monitoring, and improvement of AI-powered solutions
  • Document data dictionaries, business rules, governance processes, and operational procedures
  • Contribute to continuous improvement in data quality, governance, automation, and AI adoption

Preferred Skills & Experience:

  • Data Analysis, Data Management & Data Governance
  • Data Quality & Regulatory Compliance
  • Power BI, Tableau, Looker, or similar visualization tools
  • GCP, AWS, or Azure
  • Metadata Management, Data Lineage & Data Stewardship
  • Beginner-level AI/ML, LLM, RAG, or Agentic AI experience
  • Strong analytical, problem-solving, communication, and stakeholder management skills

Education:

  • Bachelor's Degree in Computer Science or related field preferred