Senior AI Engineer
Pivotal Solutions
Salary undisclosed
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Description
Responsibilities
Design, develop, and deploy advanced AI and machine learning models to solve complex business problems across diverse domains.
Collaborate with cross-functional teams, including data scientists, product managers, and software engineers, to integrate AI solutions into production systems.
Optimize AI pipelines for performance, scalability, and reliability, ensuring efficient processing of large-scale datasets.
Drive innovation by researching and implementing cutting-edge AI techniques, frameworks, and tools to enhance product capabilities.
Mentor junior engineers and provide technical guidance on AI best practices, model development, and deployment strategies.
Monitor and maintain AI systems in production, ensuring robust performance and rapid response to issues.
Requirements
Qualifications
Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
5+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role, with a proven track record of delivering impactful AI solutions.
Expertise in AI/ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and the end-to-end AI development lifecycle, including data preprocessing, model training, and deployment.
Strong programming skills in Python and proficiency with relevant libraries (e.g., NumPy, Pandas, Scikit-Learn, Hugging Face).
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes) for deploying AI models.
Excellent problem-solving skills and the ability to translate business requirements into technical solutions.
Strong communication and collaboration skills, with experience working in agile, cross-functional teams.
About this role
Pivotal Solutions is seeking a Senior AI Engineer to design and deploy machine learning models that address complex business challenges across multiple domains. You'll work alongside data scientists, product managers, and software engineers to move AI solutions from research into production systems, with particular focus on optimizing pipelines for performance and scalability at enterprise scale. This is a hands-on technical role that also carries mentorship responsibilities for junior team members.
The position requires a Master's or PhD in Computer Science, AI, Machine Learning, or related field, plus at least five years of direct experience building and shipping AI solutions. You should be fluent in Python and deep learning frameworks like TensorFlow or PyTorch, comfortable deploying models on AWS, Azure, or GCP using Docker and Kubernetes, and skilled at the full development lifecycle from data preprocessing through production monitoring. Beyond technical depth, the role values your ability to translate business problems into technical approaches and collaborate effectively in cross-functional, agile environments.
This is an in-office position based in Houston, Texas.
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Pay for this role
The employer didn't post a pay range for this role. That usually means pay is set in negotiation, which favors whoever arrives with numbers. Check ranges on comparable Senior AI Engineer postings in Houston, and analyze any offer before you accept it.
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