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Senior Ai Software Engineer Jobs in Arizona (NOW HIRING)

Job Position: - Senior Software Engineer Job Location: - Phoenix AZ (100% onsite) Job Type ... AI / Conversational Platform Exposure: * Good understanding of Google Dialog flow CX or similar ...

We're hiring a Senior Software Engineer, Backend to join our Engineering team. Oscar is the first ... Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial ...

We're hiring a Senior Software Engineer, Backend to join our Engineering team. Oscar is the first ... Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial ...

We're hiring a Senior Software Engineer, Backend to join our Engineering team. Oscar is the first ... Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial ...

Sr Software Engineer I

Phoenix, AZ · On-site

$123K - $215K/yr

As a Senior Engineer, you will be a hands-on technical leader responsible for designing, developing ... AI-Enabled Engineering & Innovation * Leverage AI-assisted development tools, autonomous coding ...

Senior Software Engineer

Scottsdale, AZ · Remote

$137K - $257K/yr

Use AI coding agents (Claude Code, Cursor, GitHub Copilot) to increase velocity while holding the line on code quality and security * Contribute to platform modernization, migrating legacy systems ...

Senior Software Engineer

Tempe, AZ · On-site

$117K - $154K/yr

Job Purpose As a Senior Software Engineer , you will be a key member of the Core Software team ... Collaborate with AI, vision, and embedded teams to integrate and optimize GPU-accelerated ...

Senior Agentic Software Engineer (Remote) arrivia Remote (US) Full-time About arrivia arrivia ... Review and validate AI-generated code for correctness, security, performance, and maintainability ...

Software Engineer - GCP, AI

Phoenix, AZ · Hybrid

$108K - $129K/yr

Collaborate with client personnel in Software Engineering. * Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for a variety ...

Senior AI Engineer - SFL Scientific

Tempe, AZ · On-site

$100K - $137K/yr

... software engineering, MLOps specializing in AI and Machine Learning deployment * 4+ years of ... Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists ...

We're hiring a Senior Software Engineer, Backend to join our Engineering team. Oscar is the first ... Artificial Intelligence (AI) Guidelines: Please see our AI Guidelines for the acceptable use of ...

Senior Agentic Software Engineer (Phoenix, AZ) arrivia Phoenix, AZ Full-time About arrivia arrivia ... Review and validate AI-generated code for correctness, security, performance, and maintainability ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Showing results 41-60

Senior Ai Software Engineer information

What is a senior AI software engineer?

Senior AI Software Engineers are experienced professionals who design, develop, and deploy artificial intelligence (AI) systems and applications. They lead complex projects involving machine learning, deep learning, and data analysis, often mentoring junior engineers and collaborating with data scientists. Their responsibilities include creating scalable AI models, optimizing algorithms, and ensuring that AI solutions meet business objectives. They typically possess advanced knowledge of programming languages such as Python and experience with AI frameworks like TensorFlow or PyTorch. Additionally, they stay updated on the latest AI trends and best practices to drive innovation within their organizations.

What does a senior AI software engineer do?

As a Senior AI Software Engineer, you will frequently work cross-functionally with data scientists and product teams to design, develop, and deploy AI solutions. You’ll translate complex models developed by data scientists into scalable, production-ready code, and ensure the solutions meet performance and reliability standards. Regular communication with product managers and stakeholders is essential to align technical deliverables with business objectives, and you may also mentor junior engineers in best practices for AI system integration.

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

To thrive as a Senior AI Software Engineer, you need deep expertise in machine learning, programming languages such as Python or Java, and a strong background in computer science or a related field, often with an advanced degree. Familiarity with frameworks like TensorFlow or PyTorch, experience deploying models to production, and knowledge of cloud platforms are typically required, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, leadership, and effective communication skills distinguish top performers in this role. These skills ensure the ability to design, build, and scale AI solutions that drive innovation and deliver business value.

What is the difference between Senior Ai Software Engineer vs Data Scientist?

AspectSenior Ai Software EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with AI frameworksBachelor's/Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentDevelops AI models, software, and algorithms; collaborates with engineering teamsAnalyzes data, builds predictive models, interprets data insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require strong technical skills and experience with AI tools, Senior Ai Software Engineers focus on developing and deploying AI software solutions, whereas Data Scientists primarily analyze data to generate insights and build predictive models. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Ai Software Engineer jobs in Arizona?

The most popular types of Ai Software Engineer jobs in Arizona are:

What cities in Arizona are hiring for Senior Ai Software Engineer jobs?

Cities in Arizona with the most Senior Ai Software Engineer job openings:

Infographic showing various Senior Ai Software Engineer job openings in Arizona as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Software Engineer

Tror AI for everyone

Phoenix, AZ • On-site

Contractor

Re-posted 11 days ago


Job description

Job Position: - Senior Software Engineer

Job Location: - Phoenix AZ (100% onsite)

Job Type: - Contract

Note: Need 10+ years of experience consultants.

Core Skill Requirements:

  • 6–8 years of strong experience in Java development, including proficiency in Spring / Spring Boot.
  • 4–5 years of experience with Python, focused on backend or data-driven development.
  • Deep understanding of Reactive Programming (Web Flux, etc.)
  • Hands-on experience with Apache Kafka for event-driven architectures.
  • Experience with Flink for stream processing and data pipelines.
  • Proficiency in Redis for caching and performance optimization.
  • Database expertise in both MongoDB (NoSQL) and Oracle (RDBMS).
  • Strong experience in building and consuming RESTful APIs.
  • GraphQL knowledge is good to have but not mandatory.


AI / Conversational Platform Exposure:

  • Good understanding of Google Dialog flow CX or similar conversational AI frameworks.
  • Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts.
  • Familiarity with ADK (Agent Development Kit), Playbook, or similar agentic frameworks.
  • Conceptual understanding of machine learning fundamentals and model telemetry.
    Additional Skills:
  • Strong problem-solving and debugging skills.
  • Experience with microservices architecture, CI/CD pipelines, and cloud-native environments (OCP, Kubernetes, etc.).
  • Excellent communication skills; ability to collaborate across engineering and product teams.
    Preferred Qualifications:
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related  
    Prior experience in banking, fintech, or digital assistant platforms is an
    advantage.