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Senior Ai Developer Jobs in Oklahoma (NOW HIRING)

Job Summary The Senior AI Solutions Engineer designs, develops, deploys, and supports Enterprise Generative AI solutions that enable employees to work more efficiently, automate business processes ...

Senior AI Engineer

Lawton, OK ยท On-site

$100 - $130/hr

Camgian is looking to expand its development organization with the addition of a Senior AI Engineer. We are focused on applying state-of-the-art Artificial Intelligence, Machine Learning, Computer ...

Senior AI Engineer

Lawton, OK ยท On-site

$102K - $141K/yr

Camgian is looking to expand its development organization with the addition of a Senior AI Engineer. We are focused on applying state-of-the-art Artificial Intelligence, Machine Learning, Computer ...

Senior AI Engineer

Lawton, OK ยท On-site

$102K - $141K/yr

Camgian is looking to expand its development organization with the addition of a Senior AI Engineer. We are focused on applying state-of-the-art Artificial Intelligence, Machine Learning, Computer ...

As a Senior Engineer, you will own the design and delivery of AI-powered services end to end - from API and system design, through implementation and deployment, to monitor and continuous improvement ...

As a Senior Engineer, you will own the design and delivery of AI-powered services end to end - from API and system design, through implementation and deployment, to monitor and continuous improvement ...

As a Senior Engineer, you will own the design and delivery of AI-powered services end to end - from API and system design, through implementation and deployment, to monitor and continuous improvement ...

Forward Deployed AI Engineers form the execution spine of our Reinvention Deployment Engineering pods. We are building the largest FDE capability in the services industry. The engineers who join at ...

$91K - $125K/yr

As a Senior Advanced AI Research Engineer, you sit at the boundary between AI systems research and production platform engineering. You investigate hard, open problems in agentic AI - and you close ...

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Showing results 1-20

Senior Ai Developer information

What is a senior AI developer?

Senior AI Developers are experienced professionals who design, build, and implement artificial intelligence systems and solutions. They typically lead AI projects, mentor junior team members, and work on complex problems involving machine learning, deep learning, and data analysis. Their responsibilities also include collaborating with stakeholders, optimizing models for performance, and ensuring AI solutions align with business goals. Senior AI Developers usually have advanced knowledge of programming languages, frameworks, and best practices in AI development.

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

To thrive as a Senior AI Developer, you need advanced skills in machine learning, deep learning, programming (Python, R, or Java), and a strong background in computer science or related fields, often supported by a bachelor's or master's degree. Expertise in frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms (AWS, Azure, or GCP) and relevant certifications are highly valued. Strong problem-solving, leadership, and effective communication skills help in collaborating across teams and translating complex technical concepts into business solutions. These capabilities are crucial for designing robust AI systems, driving innovation, and ensuring successful deployment in real-world applications.

What are some common challenges faced by senior AI developers when deploying models into production environments?

Senior AI Developers often encounter challenges such as ensuring model scalability and reliability, handling data drift, and integrating models with existing production systems. Balancing model performance with computational efficiency is crucial, as is maintaining compliance with data privacy regulations. Close collaboration with DevOps, data engineering, and product teams is essential to address these challenges and deliver robust, maintainable AI solutions.

What is the difference between Senior Ai Developer vs Machine Learning Engineer?

AspectSenior Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models, algorithms, and applications; collaborates with data scientists and engineersDesigns, builds, and deploys machine learning models; often works in data-heavy environments
Employer & Industry UsageTech companies, research labs, AI-focused firmsTech companies, startups, data-driven industries

While both roles involve working with AI and machine learning, Senior Ai Developers focus more on creating and optimizing AI systems, whereas Machine Learning Engineers specialize in building scalable ML models and pipelines. The roles often overlap, but the Senior Ai Developer emphasizes AI application development, and the Machine Learning Engineer emphasizes deployment and data handling.

Which senior AI developer job is high paying?

Senior AI developer roles tend to be high paying in industries such as technology, finance, and healthcare, especially for those with expertise in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch. Salaries can vary based on location, company size, and individual skills, but senior positions often offer six-figure compensation packages.

What are the most commonly searched types of Ai Developer jobs in Oklahoma?

The most popular types of Ai Developer jobs in Oklahoma are:

What are popular job titles related to Senior Ai Developer jobs in Oklahoma?

For Senior Ai Developer jobs in Oklahoma, the most frequently searched job titles are:

Infographic showing various Senior Ai Developer job openings in Oklahoma as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

Senior AI Solutions Engineer

Worky

Oklahoma City, OK โ€ข On-site

$140 - $180/hr

Other

Posted 6 days ago


Job description

Job Summary

The Senior AI Solutions Engineer designs, develops, deploys, and supports Enterprise Generative AI solutions that enable employees to work more efficiently, automate business processes, and make better business decisions. This role combines software engineering, AI engineering, data engineering, and business consulting to deliver secure, scalable, and production-ready AI capabilities across the enterprise. Working closely with business stakeholders and cross-functional IT teams, the Senior AI Solutions Engineer identifies opportunities where Artificial Intelligence can create measurable business value and transforms those opportunities into enterprise solutions.

Duties and Responsibilities
  • Partner with business stakeholders to identify opportunities where Generative AI can improve business processes and create measurable business value.
  • Gather, analyze, and translate business requirements into scalable AI-enabled solutions.
  • Design, develop, test, deploy, and support enterprise AI applications using approved development standards.
  • Develop AI workflows and automations utilizing enterprise platforms.
  • Develop integrations between AI solutions and enterprise applications using APIs and modern integration patterns.
  • Build and optimize prompts, AI agents, and contextual workflows to improve accuracy, usability, and business outcomes.
  • Leverage enterprise data platform to prepare, analyze, and integrate enterprise data into AI-enabled solutions.
  • Monitor application performance, reliability, model effectiveness, and operational costs while continuously improving delivered solutions.
  • Collaborate with Enterprise Architecture, Cybersecurity, Infrastructure, and Data teams to ensure solutions align with enterprise standards.
  • Develop technical documentation, solution designs, operational procedures, and end-user documentation.
  • Evaluate emerging AI technologies and recommend enhancements to the Enterprise AI platform and engineering practices.
  • Provide ongoing production support, troubleshooting, and continuous improvement for deployed AI solutions.
  • Promote responsible AI practices by ensuring solutions comply with security, privacy, governance, and compliance requirements.
  • Other duties as assigned.
Skills and Competencies
  • Experience developing software using Python, SQL, Node/React JS, REST APIs, JSON, and Git.
  • Knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, AI Agents, and Retrieval Augmented Generation (RAG).
  • Experience with enterprise AI technologies including Open WebUI, LiteLLM, n8n, Databricks, Glean, or comparable platforms.
  • Strong understanding of data engineering, data integration, and working with structured and unstructured data.
  • Experience integrating AI capabilities with enterprise business applications and cloud services.
  • Strong analytical, problem-solving, organizational, and communication skills.
  • Ability to explain technical concepts to both technical and non-technical audiences.
  • Ability to lead technical discussions and mentor junior engineers.
  • Commitment to continuous learning in rapidly evolving AI technologies.
Required Qualifications
  • High school diploma (or GED).
  • Minimum of eight (8) or more years of experience in software development, AI engineering, application development, data engineering, or a related technical discipline.
  • Demonstrated experience developing scalable enterprise applications.
  • Experience designing, deploying, and supporting production applications.
  • Experience with Git, CI/CD pipelines, Docker, and modern software engineering practices.
  • Demonstrated ability to lead technical solution delivery while partnering directly with business stakeholders.
  • An acceptable pre-employment background and drug test.
Preferred Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Management Information Systems, Software Engineering, Data Science, or a related field.
  • Experience with Open WebUI, LiteLLM, n8n, Glean, and Databricks.
  • Experience developing Generative AI applications using OpenAI, Anthropic Claude, Google Gemini, or similar Gen AI Systems.
  • Experience implementing AI Agents, vector databases, embeddings, and Model Context Protocol (MCP).
  • Experience supporting enterprise AI governance and responsible AI initiatives.
  • Experience in the Oil & Gas industry.
Physical Requirements and Working Conditions
  • Requires prolonged sitting, some bending and stooping.
  • Occasional lifting up to 25 pounds.
  • Manual dexterity sufficient to operate a computer keyboard and calculator.

Continental Resources, Inc. provides equal employment opportunities and access for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information, veteran status, or any other category protected by law.

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