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Senior Python Ai Jobs in Surprise, AZ (NOW HIRING)

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Senior Python Software Engineer

Phoenix, AZ · On-site

$75K - $88K/yr

Senior Python Software Engineer Location: Vilnius, Lithuania (Hybrid) Department: Innovation ... Visualize and implement AI-powered features. * Ensure software is scalable, secure, and ...

AIAEC LLC

Senior Python Backend Engineer

Phoenix, AZ · On-site

You'll be at the forefront of the "AI in AEC" revolution. We are a small, agile team where your ... As a Senior Python Backend Engineer at AIAEC, you will be a key architect and builder of ChatAEC ...

Inficare Technologies

AI Python Engineer

Phoenix, AZ · On-site

Senior AI Python Engineer Location: Phoenix, AZ (Hybrid - 3 days onsite) Job Type: Long-Term Contract Experience: 10+ years Job Overview We are looking for a Senior Engineer - Artificial Intelligence ...

Accenture

Senior Advanced AI Research Engineer

Scottsdale, AZ · On-site

$105K - $144K/yr

You Are: As a Senior Advanced AI Research Engineer, you sit at the boundary between AI systems ... You are a strong Python engineer who can move fluently between an experiment and a well-structured ...

Posted today

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ

$105K - $145K/yr

Strong coding skills in Python and/or Java, with experience in ML frameworks (TensorFlow, PyTorch ... As a Senior AI/ML, IVR, and GCP Engineer, you will architect, develop, and optimize advanced AI/ML ...

American Express

Senior AI Engineer I

Phoenix, AZ · On-site

$123K - $215K/yr

Senior AI Engineer I - Agentic AI Joining Amex Tech means discovering and shaping your contribution ... Python, Go, TypeScript. * Cloud and infrastructure: AWS and/or GCP, Kubernetes. * APIs and services:

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Senior Python Ai information

See Surprise, AZ salary details

$53.3K

$137.7K

$189.1K

How much do senior python ai jobs pay per year?

As of Aug 12, 2026, the average yearly pay for senior python ai in Surprise, AZ is $137,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,800.00 and $158,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What is the difference between Senior Python Ai vs Data Scientist?

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

What are the key skills and qualifications needed to thrive as a senior Python AI engineer, and why are they important?

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What does a Senior Python AI engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.
What are popular job titles related to Senior Python Ai jobs in Surprise, AZ? For Senior Python Ai jobs in Surprise, AZ, the most frequently searched job titles are:
What job categories do people searching Senior Python Ai jobs in Surprise, AZ look for? The top searched job categories for Senior Python Ai jobs in Surprise, AZ are:
Senior Python Ai jobs near you

Python-AI_ML-GenAI- Senior Engineer

Objectways Technologies

Phoenix, AZ • On-site

Full-time

Re-posted 27 days ago

Job description

Role Description
This is a contract, on-site role for a Python AI/ML Senior Engineer, based in Phoenix, AZ. The responsibilities include designing, developing, and deploying robust AI/ML models and solutions to solve customer-specific challenges. The engineer will focus on implementing algorithms related to neural networks, pattern recognition, and statistical modeling, as well as fine-tuning these models for accuracy and scalability. Additional responsibilities include collaborating with cross-functional teams, maintaining high-quality code practices, and staying up-to-date with advanced AI/ML frameworks and tools.
Qualifications
  • Proficiency with distributed/multi-tier systems and application development, including excellent programming skills in languages such as Python. 
  • Hands-on experience designing and deploying Generative AI Applications using LLM frameworks (e.g. LangChain, LlamaIndex, Semantic Kernel), embeddings, and vector databases.
  • Experience building Agentic AI systems with autonomous planning, tool/function calling, memory management, RAG, and multi-agent orchestration. 
  • Solid understanding of ML/DL fundamentals, prompt engineering, model evaluation, and responsible AI practices. 
  • Experience integrating AI solutions with enterprise systems, APIs, event streaming (e.g., Kafka), and relational/NoSQL databases. 
  • Familiarity with cloud platforms (AWS/Azure/GCP), containers (Docker), and CI/CD pipelines (Git, Jenkins, Maven). 
  • Strong foundation in data structures, system design, APIs (REST/HTTP), and Unix/Linux environments. 
  • Excellent communication skills with the ability to translate complex AI concepts into scalable business solutions. 
  • Good understanding of data structures, algorithms and design patterns 
  • Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.