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.

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Artificial Intelligence (AI) Engineer