Senior Data/AI Architect

About the role

From supporting internal teams to developing next-gen materials, our professional roles span strategy, innovation, and purpose. At CNG, you’ll do work that matters—and own it all.

Responsibilities

• Design scalable architectures for enterprise data, analytics, machine learning, and AI solutions.
• Remain hands-on in the development of Python, SQL, data pipelines, APIs, and production applications.
• Design and build integrations across ERP, manufacturing, operational, commercial, finance, and other enterprise systems.
• Develop APIs and services using Python frameworks such as FastAPI.
• Establish architecture and engineering patterns for productionizing forecasting, optimization, machine learning, and AI solutions.
• Develop and promote MLOps and software engineering practices including CI/CD, automated testing, model deployment, monitoring, and observability.
• Define reusable patterns for integrating models and AI capabilities into business applications and workflows.
• Partner directly with manufacturing and business teams to understand operational processes and translate them into technical solutions.
• Help establish standards for data modeling, data quality, security, governance, integration, and platform architecture.
• Evaluate technologies and architecture decisions based on scalability, maintainability, cost, and business value.
• Mentor data engineers, analytics engineers, data scientists, and analysts and raise engineering standards across the team.
• Support modernization and simplification of legacy data and analytics systems.
• Periodically travel to CNG manufacturing locations to support high-value operational and manufacturing initiatives.

Qualifications

• 8+ years of experience across data architecture, data engineering, machine learning engineering, software engineering, data science, or related technical disciplines.
• Advanced degree in engineering, computer science, data science, statistics, operations research, or a related discipline is a plus.
• Strong hands-on Python and SQL experience.
• Demonstrated experience designing and delivering production data and/or ML systems.
• Experience with modern cloud data platforms and enterprise data architecture.
• Experience designing APIs, services, or integrations between analytical platforms and business applications.
• Understanding of modern software engineering practices including Git, CI/CD, automated testing, monitoring, and deployment.
• Experience leading complex technical initiatives and mentoring technical professionals.
• Ability to communicate effectively with both technical teams and senior business stakeholders.

Benefits

• Employee Ownership – Become a company owner day 1!
• Full medical, dental, and vision insurance upon hire
• Holiday Pay
• Paid vacation
• 401(k) with company match
• Performance-based bonuses
• Tuition reimbursement
• Career advancement opportunities across 18+ facilities

Schedule

Hybrid, Business Hours