Staff Application Engineer - AI Enablement

Join a forward-thinking engineering team focused on improving enterprise applications, data quality, and digital transformation through modern technology solutions. In this remote role, you will contribute to the development and optimization of Product Lifecycle Management (PLM) and Master Data Management (MDM) platforms. You will work hands-on with data mapping, system integration, application configuration, and proof-of-concept development to solve complex technical challenges. Collaborating with experienced engineers, project leads, and business stakeholders, you will help translate requirements into reliable, scalable, and reusable solutions. You will also explore emerging technologies and contribute to service-oriented architectures that improve efficiency and support evolving business needs. This opportunity offers a chance to strengthen your technical expertise, collaborate across disciplines, and contribute to impactful enterprise engineering initiatives.

• Education and professional experience: Bachelor's degree from an accredited university or college with at least four years of professional experience, an associate degree with at least seven years of experience, or a high school diploma with at least nine years of experience. A minimum of three years of professional experience in application engineering is required. Military experience is considered equivalent to professional experience.

• Enterprise application expertise: Experience working with enterprise platforms, particularly Application Lifecycle Management (ALM) and Product Lifecycle Management (PLM) systems.

• Data management and integration: Understanding of data mapping, data movement, system interfaces, data validation, and techniques for maintaining data integrity across enterprise applications.

• Software engineering knowledge: Familiarity with application development, technical configuration, testing methodologies, and reusable software components.

• Modern technology exposure: Experience or exposure to microservices, Service-Oriented Architecture (SOA), big data technologies such as Hadoop, enterprise search platforms such as Elasticsearch or Solr, cloud technologies, and DevOps practices.

• Analytical and problem-solving skills: Ability to analyze technical requirements, investigate application issues, evaluate potential solutions, and develop practical recommendations.

• Technical communication: Strong communication skills, including the ability to document design decisions, explain technical concepts, report project status, and collaborate effectively with multidisciplinary teams.

• Business awareness: Understanding of how application engineering activities support business objectives, product requirements, and operational priorities.

• Teamwork and initiative: A collaborative mindset, willingness to share knowledge, openness to new approaches, and the confidence to raise risks, challenges, and improvement opportunities.

• Adaptability and accountability: Ability to work independently on assigned tasks, follow established standards, seek guidance when needed, and remain receptive to different technical perspectives.

• Work authorization: Legal authorization to work in the United States is required. Employment visa sponsorship is not available now or in the future.

• Export control eligibility: Candidates must qualify as a U.S. person under applicable export control requirements, meaning a U.S. citizen, lawful permanent resident, or an individual granted asylee or refugee status.