Senior AI Engineer

Pivotal Solutions; Georgia; On-site; USD 130,000 - 180,000; Full time

Job summary

Pivotal Solutions is seeking an experienced AI Engineer to design, develop, and deploy advanced AI/ML models in production. You will collaborate with data scientists, product managers, and software engineers to integrate AI into scalable systems.

Responsibilities include optimizing pipelines, researching cutting-edge techniques, and mentoring junior engineers while ensuring robust performance and reliability in production environments.

Qualifications

• Master’s or PhD in Computer Science, AI, ML, or a related field.
• 5+ years in AI/ML engineering delivering impactful AI solutions.
• Proficiency in AI/ML algorithms, deep learning frameworks, and end-to-end lifecycle.
• Strong Python programming and libraries (NumPy, Pandas, Scikit-Learn, Hugging Face).
• Experience with cloud platforms and containerization (AWS/Azure/GCP; Docker, Kubernetes).
• Excellent problem-solving and cross-functional collaboration in agile teams.

Responsibilities

• Design, develop, and deploy advanced AI/ML models to solve business problems.
• Collaborate with data scientists, PMs, and engineers to productionize AI solutions.
• Optimize AI pipelines for performance, scalability, and reliability on large datasets.
• Research and implement cutting-edge AI techniques, frameworks, and tools.
• Mentor junior engineers on AI best practices, modeling, and deployment.
• Monitor production AI systems and respond rapidly to issues.

Skills

Python

ML/AI development

Deep learning

Data preprocessing

Agile collaboration

Education

Master's or PhD in CS/AI/ML

Tools

TensorFlow

PyTorch

Docker

Kubernetes

NumPy

Pandas

Scikit-Learn

Hugging Face

Job description

Houston, United States | Posted on 09/08/2026

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.