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United States
Remote only
Not Available
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Staff Application Engineer – AI Enablement based in the United States.
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.
Data integration and quality: Execute data mapping, data movement, interface development, and validation activities to maintain data quality and accuracy across PLM and MDM platforms.
Application engineering: Develop, configure, and test application components based on project requirements, ensuring alignment with established software development approaches and technical standards.
Technical design and documentation: Participate in project discussions, analyze task-level requirements, document design decisions, and communicate technical issues or exceptions to senior team members.
Proof-of-concept development: Build and test proof-of-concepts using established design patterns, contributing hands-on technical implementation and evaluating potential solutions.
Reusable platform development: Support the creation of service-oriented software and data delivery components that can be reused across projects to improve scalability and consistency.
Enterprise systems integration: Collaborate with business functions to resolve data-related challenges involving system integration, product structures, and enterprise application workflows.
Architecture and governance: Follow enterprise architecture standards, domain governance requirements, and established development practices while identifying opportunities for improvement.
Technology research: Evaluate tools, emerging technologies, and technical approaches relevant to application engineering, PLM, and enterprise data management.
Vendor assessment: Support vendor evaluation activities within the PLM functional area by gathering technical information and contributing recommendations.
Cross-functional collaboration: Build strong working relationships with peers, project leads, and business stakeholders, sharing best practices and helping improve team effectiveness.
Project coordination: Work with project management to communicate task progress, identify risks, raise issues, and ensure assigned deliverables remain aligned with broader project objectives.
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.
Competitive base salary: Annual compensation ranging from $112,000 to $165,000, depending on experience, education, skills, and other relevant factors.
Performance-based compensation: Eligibility for an annual discretionary bonus based on the applicable compensation plan.
Comprehensive healthcare: Medical, dental, vision, and prescription drug coverage.
Wellness support: Access to health coaching and an Employee Assistance Program offering confidential assessment, counseling, and referral services.
Retirement savings: Access to a 401(k) retirement savings plan with company matching and additional company retirement contributions, along with financial planning resources.
Paid time off: Paid vacation and sick leave to support work-life balance.
Family support: Adoption assistance and paid parental leave for eligible employees.
Insurance coverage: Disability and life insurance benefits.
Learning and development: Tuition assistance and professional development opportunities to support ongoing career growth.
Remote work flexibility: A fully remote position that allows you to work primarily from home.
Inclusive environment: A collaborative workplace that values diversity, professional growth, innovation, and individual contributions.
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