Intelligent Applications Engineer

Position Purpose:

The Intelligent Applications Engineer I develops and applies artificial intelligence, machine learning, simulation, optimization, and data-driven engineering technologies to solve complex product development, engineering, and manufacturing challenges. As part of the Advanced Technology Group, this role creates innovative models, simulation environments, and intelligent applications that enhance engineering analysis, accelerate product development, improve product performance, and enable data-driven decision-making. Working across engineering disciplines, this role applies advanced computational methods and emerging technologies to drive innovation and advance next-generation products, processes, and engineering capabilities.

Essential Functions:

• Design, develop, test, deploy, and maintain intelligent applications that support manufacturing, engineering, and business operations.
• Work directly with stakeholders to understand operational challenges and identify opportunities for automation, analytics, optimization, and intelligent decision support.
• Design and develop full-stack applications, application programming interfaces (APIs), data services, and system integrations required to deliver complete operational solutions.
• Develop applications leveraging machine learning, predictive analytics, computer vision, optimization techniques, generative artificial intelligence (AI), and agentic workflows where appropriate.
• Implement production-ready AI-enabled capabilities including knowledge retrieval, document intelligence, conversational interfaces, scheduling assistance, forecasting, anomaly detection, and process optimization.
• Integrate applications with enterprise systems, manufacturing systems, engineering databases, cloud services, and internal tools.
• Develop data pipelines and processes for collecting, transforming, validating, and utilizing structured and unstructured data.
• Build prototypes and proofs of concept to evaluate business value, technical feasibility, and operational fit.
• Convert successful prototypes into secure, maintainable, and supportable production applications.
• Develop performance metrics and evaluation frameworks to measure solution effectiveness, user adoption, operational impact, and business value.
• Participate in deployment, monitoring, stabilization, and transition activities associated with production systems.
• Create reusable frameworks, application templates, integration patterns, and technical standards to accelerate future development efforts.
• Document architectures, workflows, data flows, deployment procedures, and support processes.
• Support the successful transfer of mature solutions to long-term owners within the organization.
• Stay current on emerging software engineering, AI, manufacturing technology, and automation capabilities.
• Perform other duties as assigned.

Education and Training

• A bachelor’s degree in engineering, computer science, or a related technical field is required.
• A master’s degree in a related field is preferred.
• Formal education or training in software development, machine learning, AI, data analytics, simulation, optimization, cloud computing, and/or related disciplines required.
• Related certifications and/or licenses are desirable.

Minimum Qualifications

• A minimum of 3 years’ experience in a relevant field.
• Experience developing, deploying, and supporting production software applications and technical solutions.
• Strong proficiency in Python and experience with modern software development practices, tools, and methodologies.
• Experience developing APIs, backend services, databases, data pipelines, and system integrations.
• Experience working with structured query language (SQL), Data-centric applications, and structured and unstructured data sources.
• Experience developing or integrating machine learning, AI, predictive analytics, optimization, simulation, or advanced analytical solutions.
• Experience in applying engineering, mathematical, statistical, or computational methods to solve complex technical problems.
• Knowledge of software architecture, testing, deployment, source control, application lifecycle management, and solution validation practices.
• Ability to develop, interpret, and validate computational models, simulations, and analytical solutions.
• Strong analytical, problem-solving, and critical-thinking skills.
• Ability to translate engineering, manufacturing, or operational challenges into effective technical solutions.
• Effective written, verbal, and interpersonal communication skills with the ability to communicate technical concepts to both technical and non-technical stakeholders.
• Ability to manage multiple priorities and perform effectively in environments with evolving requirements and high levels of ambiguity.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by law.