Systems Engineer II

Description

Do you have a strong work ethic and the desire to join an organization that invests in its people through cross-training and development? Clark Dietrich fosters a work-life balance and offers competitive compensation and benefits. Join the Clark Dietrich team.

The Intelligent Systems Engineer II will support the design, development, testing, and implementation of intelligent software systems that combine artificial intelligence, machine learning, data engineering, automation, cloud services, and modern software development practices.

This role is a hands-on technical engineering position. The Intelligent Systems Engineer II will work under the direction of the Technical Manager and will be responsible for solving assigned technical problems, contributing to system design and implementation, building reliable components, and supporting the development of scalable intelligent applications.

This position is not expected to independently define business problems, own business-facing strategy, or directly lead stakeholder discovery. Instead, the role will translate technical direction, requirements, and priorities provided by the Technical Manager into practical engineering solutions.

• Work primarily as a technical contributor under the direction of the Technical Manager.
• Solve assigned technical problems at the system, software, data, AI, and integration levels.
• Support implementation, testing, documentation, and production-readiness of intelligent systems.
• Escalate risks, blockers, tradeoffs, and unclear requirements to the Technical Manager in a timely manner.
• Participate in technical discussions and provide input, while business-facing prioritization and solution direction remain coordinated through the Technical Manager or designated leadership.

Intelligent Systems Development

• Design, develop, test, and maintain components of AI-enabled software systems and automation workflows.
• Build technical solutions using machine learning models, large language models, data pipelines, APIs, databases, and cloud services.
• Implement assigned features, services, integrations, and backend logic based on technical direction from the Technical Manager.
• Support prototype development, technical validation, and transition of approved solutions into stable, production-ready implementations.
• Research and evaluate technologies when assigned, and provide technical findings and recommendations to the Technical Manager.

Machine Learning and Applied AI

• Support the development, testing, evaluation, and improvement of machine learning and AI-enabled solutions.
• Assist with model training, validation, performance testing, accuracy measurement, and error analysis.
• Prepare and process structured, semi-structured, and unstructured data for use in intelligent systems.
• Help create evaluation methods to measure consistency, reliability, accuracy, and technical performance.
• Work with the Technical Manager to ensure AI outputs are reviewed, explainable where needed, and aligned with approved technical standards.

Data Engineering and System Integration

• Build and maintain data pipelines for collecting, cleaning, transforming, and organizing technical and operational data.
• Develop backend services, APIs, and integration components that connect intelligent systems with internal applications.
• Support data quality, traceability, security, and maintainability across assigned technical work.
• Work with databases, file storage, cloud services, and application interfaces as needed.
• Document data flows, integration logic, assumptions, and technical limitations.

Cloud and Software Engineering

• Develop cloud-supported applications and services using modern software engineering practices.
• Participate in version control, code reviews, testing, deployment, environment management, and release support.
• Support CI/CD pipelines, containerization, automated testing, and monitoring where applicable.
• Improve performance, reliability, scalability, maintainability, and cost efficiency of assigned systems.
• Follow team standards for code quality, documentation, security, and operational support.

Collaboration and Technical Execution

• Work under the leadership of the Technical Manager to execute assigned technical priorities.
• Collaborate with software developers, engineers, data contributors, product contributors, interns, and IT stakeholders as needed.
• Ask clarifying technical questions and raise risks, blockers, and tradeoffs early.
• Participate in design reviews, technical planning sessions, and implementation discussions.
• Provide clear status updates, technical notes, and documentation for assigned work.

Requirements

Required Qualifications

• Degree or equivalent experience in computer science, engineering, artificial intelligence, machine learning, data science, software engineering, or a related technical field.
• Strong programming skills, preferably in Python and modern backend development.
• Experience with applied AI, machine learning, data…