Houston AI/ML Engineer — Agentic Systems & Data Governance

Forum Energy Technologies; Houston (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

Forum Energy Technologies in Houston seeks a technically deep and visionary AI/ML Engineer to lead the development and deployment of agentic AI solutions and drive enterprise-wide data standardization. This in-office role is pivotal to our AI transformation journey, enabling autonomous AI agents that streamline operations and improve decision-making across the organization.

The candidate will bridge machine learning, data engineering, and software development, building scalable AI systems,

Qualifications

• Bachelor’s or Master’s degree in CS, Data Science, Engineering, or related field.
• 5+ years of experience in ML engineering, data science, or AI solution development.
• Experience deploying ML models to production on cloud platforms (Azure/AWS/GCP).
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Strong understanding of data structures, algorithms, and software engineering principles.
• Experience with data governance, data quality frameworks, and enterprise data architecture.
• Familiarity with MLOps tools and practices (CI/CD for ML, model monitoring).
• Excellent communication and ability to collaborate across technical and non-technical teams.
• Currently residing in Houston, Texas area and able to work from Houston office.

Responsibilities

• Design, develop, and deploy agentic AI systems that autonomously execute multi-step workflows across business functions.
• Collaborate with cross-functional teams to identify high-impact AI use cases and translate them into technical solutions.
• Build and maintain robust ML pipelines, including data ingestion, model training, deployment, and monitoring (MLOps).
• Lead data standardization initiatives to ensure high-quality, consistent, and AI-ready data across systems.
• Partner with data engineering and IT teams to define and implement data governance frameworks, taxonomies, and metadata standards.
• Monitor and optimize AI model performance in production environments, ensuring reliability, scalability, and alignment with business goals.
• Serve as a technical advisor on AI/ML best practices, tools, and emerging technologies.
• Support change management efforts to improve data literacy and promote standardization best practices
• Stay ahead of industry trends and maintain compliance with evolving regulations affecting AI and data.

Skills

Machine learning engineering

Python

Data governance

MLOps

Communication

Cross-functional collaboration

Data structures & algorithms

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Azure

AWS

GCP

CI/CD for ML

Job description

Forum Energy Technologies in Houston seeks a technically deep and visionary AI/ML Engineer to lead the development and deployment of agentic AI solutions and drive enterprise-wide data standardization. This in-office role is pivotal to our AI transformation journey, enabling autonomous AI agents that streamline operations and improve decision-making across the organization.

The candidate will bridge machine learning, data engineering, and software development, building scalable AI systems,