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Sr Python Engineer Jobs in Arizona (NOW HIRING)

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 ...

Senior Python Software Engineer Location: Vilnius, Lithuania (Hybrid) Department: Innovation Reports To: Senior Director of Innovation Employment Type: Full-Time, Hybrid, Salary, Non-Exempt ...

As a Senior Python Backend Engineer at AIAEC, you will be a key architect and builder of ChatAEC and our suite of AI-driven civil engineering tools. You won't just be writing APIs; you will be ...

Senior Data Platform Engineer

Phoenix, AZ · On-site

$100K - $135K/yr

Benefits: * 401(k) Senior Data Platform Engineer Onsite Phoenix, AZ We are hiring a Senior Data ... Develop REST APIs using FastAPI Python to support data services * Implement robust data quality and ...

ClifyX is a company seeking a Java-Python-Senior Engineer to work onsite in Phoenix, AZ. The role involves designing and implementing solutions using Java and Python technologies, optimizing ...

In this role you will collaborate with other senior technical team members and other developers to ... with Java, Python, SQL, Node, .Net, Angular, React and Agile. * 1 year experience with Vault ...

In this role you will collaborate with other senior technical team members and other developers to ... with Java, Python, SQL, Node, .Net, Angular, React and Agile. * 1 year experience with Vault ...

Senior Data Platform Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

EITACIES Inc. is seeking a Senior Data Platform Engineer for an onsite role in Phoenix, AZ. The ... Required : • 6+ years of data engineering experience • Strong Python programming skills • ...

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Sr Python Engineer information

What does a Sr Python Engineer do?

A Sr Python Engineer is an experienced software developer who specializes in designing, developing, and maintaining applications using the Python programming language. They often lead projects, mentor junior engineers, and work on complex problems that require deep technical expertise. Their responsibilities may include writing efficient code, optimizing performance, integrating with APIs or databases, and ensuring the overall quality of software solutions. Additionally, they may collaborate with cross-functional teams to deliver robust and scalable applications.

What are the key skills and qualifications needed to thrive as a Sr Python Engineer?

To thrive as a Sr Python Engineer, you need advanced proficiency in Python programming, strong knowledge of software design patterns, and experience with scalable application development, often supported by a degree in computer science or related field. Familiarity with frameworks like Django or Flask, version control systems such as Git, and cloud platforms like AWS or Azure is typically required, with certifications in cloud or Python development considered a plus. Excellent problem-solving abilities, strong communication, and leadership skills help you collaborate effectively and mentor junior engineers. These competencies are critical for delivering robust, efficient solutions and driving technical excellence within development teams.

What is the difference between Sr Python Engineer vs Python Developer?

AspectSr Python EngineerPython Developer
Required CredentialsBachelor's degree in CS or related field, experience in Python, often some leadership skillsBachelor's degree in CS or related field, strong Python skills, often less emphasis on leadership
Work EnvironmentTeam lead, project architect, involved in system design and optimizationCode writing, feature development, bug fixing
Employer & Industry UsageTech companies, startups, enterprise softwareWeb development, data analysis, automation projects

While both roles require strong Python skills, Sr Python Engineers typically have more experience, leadership responsibilities, and involvement in system architecture, whereas Python Developers focus more on coding and feature implementation.

What are some common challenges Sr Python Engineers face when working on large-scale applications?

Sr Python Engineers often encounter challenges related to maintaining code quality and scalability as applications grow. Managing dependencies, ensuring optimal performance, and coordinating with cross-functional teams can be complex, especially in distributed systems. Additionally, integrating new technologies or frameworks while maintaining backward compatibility requires careful planning and communication. Proactive code reviews, clear documentation, and collaborative problem-solving are essential to overcoming these challenges.
What are popular job titles related to Sr Python Engineer jobs in Arizona? For Sr Python Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Sr Python Engineer jobs in Arizona look for? The top searched job categories for Sr Python Engineer jobs in Arizona are:
Infographic showing various Sr Python Engineer job openings in Arizona as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

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Job description

Job Title: 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 to design and build impactful, intelligent, and secure AI solutions in the Information Security, Governance, and Control space. You will translate complex business requirements into scalable, production-ready AI applications using cutting-edge Generative AI and agentic frameworks.
Key Responsibilities
  • Build and enhance AI/ML and GenAI-powered solutions using Python, LLMs, RAG, prompt engineering, and agentic AI frameworks
  • Develop models for NLP, classification, clustering, anomaly detection, and predictive analytics
  • Support model lifecycle activities: experimentation, evaluation, versioning, deployment, monitoring, and documentation
  • Contribute to cloud-native ML pipelines and AI application deployment using MLOps, APIs, Docker, and Kubernetes
  • Collaborate cross-functionally with Security, Risk, Engineering, Governance, and Data teams
  • Stay current with emerging trends in Machine Learning, Generative AI, Agentic AI, and MLOps
Required Skills
  • Strong Python programming with frameworks such as PyTorch, TensorFlow, or scikit-learn
  • Hands-on experience with LLMs, NLP, embeddings, RAG, and prompt engineering
  • Experience with agentic AI frameworks: LangChain, LangGraph, AutoGen, or CrewAI
  • Exposure to APIs, cloud platforms (AWS, Azure, GCP), Docker, Kubernetes, and vector databases
  • MLOps/data tools: MLflow, Kubeflow, Argo Workflows, Kafka, Spark, or NiFi
Preferred Skills
  • Flask, FastAPI, Hugging Face, Triton Inference Server
  • pgVector, Milvus, Prometheus, Elasticsearch, Kibana
  • CI/CD: Jenkins, GitLab CI, XL Release
Location & Work Model
Phoenix, AZ - Hybrid (3 days onsite per week)
Engagement Details
Long-term contract engagement. Bachelor's degree in Computer Science, Engineering, Data Science, AI, or a related field required.