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Ai In Jobs in Arizona (NOW HIRING)

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

They are seeking a visionary Senior Manager of AI & Data Science to lead a team in delivering scalable AI/ML solutions while ensuring responsible AI governance and fostering a high-performance ...

American Express

AI Engineer III - Agentic AI

Phoenix, AZ · On-site

$103K - $174K/yr

Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights. At American Express, AI ...

Inficare Technologies

Lead AI Engineer

Phoenix, AZ · On-site

$99K - $131K/yr

Technical Environment We don't hire to a narrow checklist, but candidates should be comfortable operating in a modern, enterprise-scale engineering environment with a strong emphasis on agentic AI.

American Express

AI Engineer III

Phoenix, AZ · On-site

$103K - $174K/yr

Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights. At American Express, AI ...

American Express

Senior AI Engineer I

Phoenix, AZ · On-site

$123K - $215K/yr

Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights. At American Express, AI ...

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Ai In information

What is an AI Engineer?

An AI Engineer is a professional who designs, develops, and implements artificial intelligence systems and applications. They use machine learning algorithms, deep learning frameworks, and data analysis techniques to create intelligent solutions that can perform tasks such as image recognition, natural language processing, and decision-making. AI Engineers often collaborate with data scientists and software developers to build models, train AI systems, and deploy them in real-world environments. Their work is crucial in advancing automation and making technology smarter across various industries.

What is the difference between Ai In vs Data Analyst?

AspectAi InData Analyst
Required CredentialsTypically a degree in AI, computer science, or related field; certifications in AI or machine learningDegree in statistics, mathematics, or related field; certifications in data analysis or visualization
Work EnvironmentTech companies, AI research labs, startups; focus on developing AI modelsBusiness, finance, healthcare sectors; analyze data to inform decisions
Employer & Industry UsagePrimarily in tech and AI-focused industriesAcross various industries including finance, healthcare, marketing

While both roles involve working with data, Ai In focuses on developing and implementing AI models, whereas Data Analysts interpret data to support business decisions. Ai In roles require specialized knowledge in AI and machine learning, while Data Analysts focus on data visualization and statistical analysis.

What job makes $10,000 a month without a degree?

In the field of AI, roles such as AI consultant, machine learning engineer, or data scientist can potentially earn $10,000 or more per month, especially with specialized skills, experience, and certifications. These positions often require strong programming knowledge, understanding of AI tools, and sometimes a background in mathematics or statistics, but they do not always require a formal degree if demonstrated expertise is available.

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

To thrive as an AI Engineer, you need strong programming skills (especially in Python), a solid foundation in mathematics and statistics, and typically a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, experience with data modeling, and sometimes certifications in AI or data science are highly valued. Critical thinking, creativity, and effective communication help AI Engineers collaborate on complex projects and translate technical concepts for diverse audiences. These skills and qualities are crucial for developing innovative, reliable AI solutions that address real-world challenges.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages. Such salaries reflect the high demand and specialized expertise in the AI industry.

Which 3 jobs will survive AI?

AI In roles such as data analysts, AI specialists, and cybersecurity professionals are likely to persist because they require complex problem-solving, creativity, and human oversight. These jobs involve tasks that are difficult to fully automate, especially those requiring critical thinking, ethical judgment, and interpersonal skills.

How is AI being used in jobs?

AI is used in jobs to automate repetitive tasks, analyze large data sets, and improve decision-making processes. Roles such as AI specialists, data analysts, and machine learning engineers often require knowledge of programming languages like Python and familiarity with AI tools and frameworks. This technology enhances productivity and enables new capabilities across various industries.

What are some common challenges AI Engineers face when integrating artificial intelligence solutions into existing business systems?

AI Engineers often encounter challenges such as ensuring compatibility between new AI models and legacy systems, managing data quality and availability, and addressing scalability concerns. Effective communication with cross-functional teams, including data scientists, IT, and business stakeholders, is essential to understand requirements and mitigate potential roadblocks. Additionally, AI Engineers must balance innovation with ethical considerations and compliance, making it crucial to stay updated on industry standards and best practices.
What are popular job titles related to Ai In jobs in Arizona? For Ai In jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Ai In jobs in Arizona look for? The top searched job categories for Ai In jobs in Arizona are:
Ai In jobs near you
Sr. Manager AI & Data Science

Sr. Manager AI & Data Science

onsemi

Scottsdale, AZ • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Onsemi rating

8.3

Company rating: 8.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
onsemi is driving disruptive innovations to help build a better future, focusing on automotive and industrial end-markets. They are seeking a visionary Senior Manager of AI & Data Science to lead a team in delivering scalable AI/ML solutions while ensuring responsible AI governance and fostering a high-performance culture.
Responsibilities:
• Provide Technical Leadership: Steer the team through critical architectural decisions spanning the full AI/ML stack—from foundational infrastructure like model registries, CI/CD pipelines, and feature stores, to advanced orchestration and observability frameworks for LLMs using tools such as LangGraph, MLflow, Azure ML, and Databricks.
• Collaborate with business domain managers to define product requirements and identify AI opportunities.
• Oversee data science project lifecycles, from ideation to production, ensuring alignment with business goals and technical feasibility.
• Ensure compliance with onsemi’s Responsible AI Use and Governance Policies, including data privacy, model transparency, and ethical use.
• Partner with IT, data engineering, and business teams to ensure end to end project delivery & execution.
• Mentor and grow a team of AI, data scientists and machine learning engineers.
• Represent the AI function in executive forums and cross-functional steering committees.
Qualifications:
Required:
• Master’s or PhD in Computer Science, Data Science, Statistics, or a related field.
• 10–15 years of experience in AI/data science, with at least 5 years in a leadership role.
• Proven experience deploying AI/ML solutions in production environments.
• Strong knowledge of cloud platforms (Azure preferred), MLOps, and data governance.
• Excellent communication and stakeholder management skills.
Preferred:
• Semiconductor industry experience.
• Experience with tools like Databricks, Azure ML, and Snowflake.
• Understanding of ERP platform and experience in enabling AI in business functions like sales, HR, finance, operations, etc.
• Understanding of AI security and compliance frameworks.
Company:
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. Founded in 1999, the company is headquartered in Scottsdale, USA, with a team of 10001+ employees. The company is currently Late Stage.

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