Artificial Intelligence (AI) Engineer

Job Description

Job Description

A Tulsa based company is looking for an AI Engineer. You will help shape the future of intelligent automation and enterprise technology by developing AI-driven solutions that improve operational efficiency, enhance customer experience, and support large-scale managed services environments. In this role, you will work closely with Automation Engineers to design, develop, and implement AI models and algorithms that strengthen service offerings, expand automation capabilities, and support scalable enterprise solutions. You will also collaborate cross-functionally with engineering, operations, and technology teams to identify opportunities for AI-driven improvements and business innovation.

If you enjoy working in fast-paced environments and are excited by emerging technologies and partnering across teams, please apply today.

Key Responsibilities

• Develop and deploy AI models and algorithms to solve business challenges
• Partner with Automation Engineers to integrate AI solutions into existing systems and workflows
• Analyze, clean, and preprocess data to ensure quality and relevance for AI applications
• Research and evaluate emerging AI technologies, including generative AI and machine learning solutions, to support innovation
• Contribute to the testing, evaluation, and adoption of generative AI and large language model (LLM) technologies
• Help build scalable AI workflows and integrate AI capabilities into enterprise systems and operational processes
• Deliver reliable, effective AI solutions that support high levels of customer satisfaction
• Document AI processes and maintain accurate records of model development, testing, and deployment
• Support AI solutions designed for large-scale enterprise environments across industries such as retail, healthcare, finance, utilities, and energy

Qualifications

• Bachelor’s degree in computer science, engineering, or a related field
• 2 + years of experience working with AI technologies
• Strong problem-solving skills and attention to detail
• Excellent communication and teamwork abilities
• Proficiency in Python, R, Java, or similar programming languages
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Exposure to cloud-based AI tools, enterprise automation platforms, or LLM technologies.