Job Title: AI Architect

Company Name: Forum Energy Technologies

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/g7dggrzjvfjfubny

Job Description: Posted 5d agoAI Architect@ Forum Energy TechnologiesView All JobsWebsiteHouston, Texas, United StatesRemoteFull TimeResponsibilities:Design systems, Build pipelines, Govern dataRequirements Summary:5+ years in ML/AI, degree in CS/Data Science/Engineering, production ML with cloud (Azure/AWS/GCP), Python and ML frameworks, data governance experience.Technical Tools Mentioned:Python, TensorFlow, PyTorch, Scikit-learn, Azure, AWS, GCP
Job Summary:
We are seeking 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 role is pivotal to our AI transformation journey, enabling autonomous AI agents that streamline operations, enhance decision-making, and unlock new efficiencies across the organization. The ideal candidate will possess a hybrid skill set spanning machine learning, data engineering, and software development, with a passion for building scalable AI systems and a strong foundation in data governance.
Key Responsibilities:

Design, develop, and deploy agentic AI systems that autonomously execute multi-step workflows across business functions (e.g., IT, HR, Finance, Operations).
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.

Required Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
5+ years of experience in machine learning engineering, data science, or AI solution development.
Proven experience deploying ML models into production environments using cloud platforms (e.g., 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 (e.g., CI/CD for ML, model monitoring, versioning).
Excellent communication skills and ability to collaborate across technical and non-technical teams.

Preferred Qualifications:

Experience building or integrating AI agents or autonomous systems.
Knowledge of enterprise systems (e.g., ERP, CRM) and their data structures.
Familiarity with data visualization tools (e.g., Power BI / SSRS) and SQL.
Experience with multi-agent systems or agent orchestration frameworks.