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Python Ai Developer Jobs in Oklahoma (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary ... Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

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... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

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... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

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... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

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Python Ai Developer information

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How much do python ai developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for python ai developer in Oklahoma is $54.13, according to ZipRecruiter salary data. Most workers in this role earn between $44.62 and $61.49 per hour, depending on experience, location, and employer.

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

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.

How much do Python AI developers make?

Python AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can command higher salaries, especially in tech hubs or companies with advanced AI projects.
What are popular job titles related to Python Ai Developer jobs in Oklahoma? For Python Ai Developer jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Python Ai Developer jobs in Oklahoma look for? The top searched job categories for Python Ai Developer jobs in Oklahoma are:
What cities in Oklahoma are hiring for Python Ai Developer jobs? Cities in Oklahoma with the most Python Ai Developer job openings:
Infographic showing various Python Ai Developer job openings in Oklahoma as of May 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $112,584 per year, or $54.1 per hour.
Software Engineer III- AI & Engineering/Software as a Service

Software Engineer III- AI & Engineering/Software as a Service

Deloitte

Tulsa, OK

Other

Posted 10 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Position Summary

Software Engineer III- AI & Engineering/Software as a Service

Join our AI & Engineering team transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Recruiting for this role ends on 8/1/26

Work You'll Do

You are a hands-on technical leader who designs, builds and ships scalable software systems while mentoring junior engineers and driving technical best practices across the organization. You will architect full-stack and agentic AI solutions, guide distributed engineering teams, and engage with product managers, designers, and stakeholders to deliver high-impact solutions.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

Key Responsibilities

  • Architect, design, and implement scalable, reliable, and maintainable full-stack software systems and services.
  • Design and operationalize RESTful and asynchronous APIs on cloud-native infrastructure (AWS, Azure, or GCP), including containerized workloads, CI/CD pipelines, and infrastructure-as-code.
  • Lead end-to-end delivery of complex features from requirements gathering through deployment and monitoring.
  • Architect and deliver production-grade agentic AI and multi-agent applications using popular frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel; design patterns including orchestrator-agent hierarchies, RAG pipelines, tool-calling agents, and context/memory management.
  • Conduct thorough code reviews, enforce coding standards, and champion engineering best practices.
  • Mentor and guide junior and mid-level engineers, fostering a culture of continuous learning and improvement.
  • Collaborate with cross-functional teams including Product, Design, DevOps, and QA to deliver high-quality software.
  • Identify technical debt and proactively drive refactoring and improvement initiatives.
  • Participate in system design discussions, architecture reviews, and technical planning sessions.
  • Troubleshoot and resolve complex performance, scalability, and reliability issues in production systems.
  • Contribute to hiring processes including technical interviews and assessments.

Qualifications

  • 5+ years of relevant consulting or industry experience in a hands-on development role, working across borders and as an integral team member.
  • 5+ years of full-stack software development experience with proficiency in at least one back-end language (Python, Java, .NET/C#, Go, or Node.js) and a modern front-end framework.
  • 4+ years building microservices and scalable APIs in a distributed, enterprise environment.
  • Solid knowledge of relational and/or NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, etc.).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes).
  • Excellent problem-solving skills with a strong ability to debug and optimize complex systems
  • Proven track record managing or technically leading delivery teams, including communication cadences and quality assurance across time zones.
  • Experience delivering software across multiple SDLC methodologies (Agile, SAFe, Kanban, waterfall-agile hybrid).
  • Bachelor's degree in Computer Science, Engineering, or a related discipline - or equivalent professional experience.
  • Ability to travel up to 50% based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available

In addition, successful Software Engineer IIIs will have the following preferred background:

  • Experience with event-driven architectures and messaging systems (Kafka, RabbitMQ, SQS).
  • Contributions to open-source projects or a demonstrated personal portfolio.
  • Experience with machine learning pipelines or data engineering workflows.
  • Demonstrated experience designing and delivering solutions that incorporate Large Language Models (LLMs) and/or agentic AI architectures in a professional setting.
  • Knowledge of security best practices, including OWASP guidelines and secure coding standards.
  • Prior experience in a tech lead or staff engineer capacity.
  • Industry-recognized technology certifications.

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Position Summary

Software Engineer III- AI & Engineering/Software as a Service

Join our AI & Engineering team transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Recruiting for this role ends on 8/1/26

Work You'll Do

You are a hands-on technical leader who designs, builds and ships scalable software systems while mentoring junior engineers and driving technical best practices across the organization. You will architect full-stack and agentic AI solutions, guide distributed engineering teams, and engage with product managers, designers, and stakeholders to deliver high-impact solutions.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

Key Responsibilities

  • Architect, design, and implement scalable, reliable, and maintainable full-stack software systems and services.
  • Design and operationalize RESTful and asynchronous APIs on cloud-native infrastructure (AWS, Azure, or GCP), including containerized workloads, CI/CD pipelines, and infrastructure-as-code.
  • Lead end-to-end delivery of complex features from requirements gathering through deployment and monitoring.
  • Architect and deliver production-grade agentic AI and multi-agent applications using popular frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel; design patterns including orchestrator-agent hierarchies, RAG pipelines, tool-calling agents, and context/memory management.
  • Conduct thorough code reviews, enforce coding standards, and champion engineering best practices.
  • Mentor and guide junior and mid-level engineers, fostering a culture of continuous learning and improvement.
  • Collaborate with cross-functional teams including Product, Design, DevOps, and QA to deliver high-quality software.
  • Identify technical debt and proactively drive refactoring and improvement initiatives.
  • Participate in system design discussions, architecture reviews, and technical planning sessions.
  • Troubleshoot and resolve complex performance, scalability, and reliability issues in production systems.
  • Contribute to hiring processes including technical interviews and assessments.

Qualifications

  • 5+ years of relevant consulting or industry experience in a hands-on development role, working across borders and as an integral team member.
  • 5+ years of full-stack software development experience with proficiency in at least one back-end language (Python, Java, .NET/C#, Go, or Node.js) and a modern front-end framework.
  • 4+ years building microservices and scalable APIs in a distributed, enterprise environment.
  • Solid knowledge of relational and/or NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, etc.).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes).
  • Excellent problem-solving skills with a strong ability to debug and optimize complex systems
  • Proven track record managing or technically leading delivery teams, including communication cadences and quality assurance across time zones.
  • Experience delivering software across multiple SDLC methodologies (Agile, SAFe, Kanban, waterfall-agile hybrid).
  • Bachelor's degree in Computer Science, Engineering, or a related discipline - or equivalent professional experience.
  • Ability to travel up to 50% based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available

In addition, successful Software Engineer IIIs will have the following preferred background:

  • Experience with event-driven architectures and messaging systems (Kafka, RabbitMQ, SQS).
  • Contributions to open-source projects or a demonstrated personal portfolio.
  • Experience with machine learning pipelines or data engineering workflows.
  • Demonstrated experience designing and delivering solutions that incorporate Large Language Models (LLMs) and/or agentic AI architectures in a professional setting.
  • Knowledge of security best practices, including OWASP guidelines and secure coding standards.
  • Prior experience in a tech lead or staff engineer capacity.
  • Industry-recognized technology certifications.

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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