Sr Staff Application Engineer - AI Enablement

GE Aerospace•Evendale, OH
•$131,000 - $189,000•Remote

About The Position

The Sr Staff Application Engineer – AI Enablement oversees the mapping of data sources, data movement, interfaces, and analytics to ensure data quality within PLM systems. The role leads, consults on, or oversees multiple technical engagements involving PLM systems and highly complex projects requiring in-depth domain knowledge in two or more specialized design areas, such as Oracle, ALM, or PLM. It contributes to service-oriented project and data delivery platforms built from reusable components that can be orchestrated across teams and businesses. The engineer leads technical and business discussions about future design direction across multiple teams or complex product lines, analyzes enterprise tools, and develops roadmaps and implementation plans for PLM and MDM platforms. The role reviews and develops designs at the domain level, participates in enterprise architecture governance, researches emerging technologies and market trends, and provides technical leadership and mentoring. It partners with business leaders to align projects with business goals, supports budget recommendations and business cases, and participates in enterprise strategy development. The position requires hands-on work building proofs of concept with emerging technologies and established design patterns for enterprise-class applications. It involves experience with enterprise ALM and PLM platforms, microservices, SOA, big data systems, enterprise search, cloud technologies, and DevOps. The engineer collaborates with business functions on data problems related to systems integration and product structure, enforces methods and validation mechanisms for data quality and accuracy at the point of entry, and evaluates PLM vendors and manages ongoing vendor relationships. This is a remote position. Relocation assistance is provided. The role requires access to U.S. export-controlled information; employment is contingent on proving U.S. Person status as defined in the posting. Legal authorization to work in the United States is required, and employment visa sponsorship is not available. The position is eligible for an annual discretionary bonus. The posted base pay range is $131,000–$189,000 annually. The posting is expected to close November 2, 2026.

Requirements

  • Bachelor’s degree from an accredited university or college and at least 5 years of professional experience, or an associate degree and at least 8 years of professional experience, or a high school diploma and at least 10 years of professional experience.
  • At least 5 years of professional experience in Application Engineering.
  • Experience working with enterprise platforms around ALM and PLM.
  • Experience with microservices, SOA, big data systems such as Hadoop, enterprise search tools such as Elasticsearch or Solr, cloud technologies, and DevOps.
  • Legal authorization to work in the United States; the employer will not sponsor employment visas.
  • Ability to prove U.S. Person status for access to U.S. export-controlled information.
  • Military experience is considered equivalent to professional experience.

Nice To Haves

  • Knowledge of business structure and profit-and-loss operations, and how functions support business goals.
  • Knowledge of business products, key processes, suppliers, customers, and markets or competitors.
  • Detailed knowledge of business operations and strategic direction, including merger and acquisition opportunities, industry trends, and the competitive landscape.
  • Ability to challenge conventional thinking, take a holistic systems perspective, consider long-range enterprise-wide futures, and empathize with multiple points of view.
  • Ability to influence through others and build direct and indirect support for ideas.

Responsibilities

  • Lead and coordinate technical and business discussions about future design direction across multiple teams or complex product lines.
  • Analyze enterprise tools and develop roadmaps and implementation plans for PLM and MDM platforms.
  • Review, analyze, and develop designs at the domain level and across multiple teams.
  • Participate in the enterprise architecture business-wide and domain governance model.
  • Research and evaluate emerging technology, industry, and market trends to support project development and operational support.
  • Provide leadership, technology guidance, and mentoring throughout the domain.
  • Contribute to service-oriented software and data delivery platforms with reusable components that can be orchestrated across teams and businesses.
  • Partner with business leaders to align projects with business goals and needs.
  • Recommend budget allocations for critical design initiatives and develop business cases for approval.
  • Build proofs of concept using emerging technologies and established design patterns for enterprise-class applications.
  • Participate in enterprise strategy development, including environmental analysis, opportunity identification, value cases, and business innovation portfolio development.
  • Collaborate with business functions to address data problems involving systems integration and product structure.
  • Enforce methods and validation mechanisms to ensure data quality and accuracy at the point of entry.
  • Evaluate vendors in the PLM functional space, recommend selections, and manage ongoing vendor relationships.
  • Develop peer, cross-functional, and cross-business relationships to maximize best-practice sharing and team effectiveness.
  • Gather and analyze data and develop project-level designs aligned with requirements and software development strategy.
  • Review exceptions and recommend domain-level standards.
  • Collaborate with project management on project status, issues, risks, and benefits.
  • Facilitate dialogues that generate new perspectives, recommendations, and analysis of potential consequences.

Benefits

  • Medical, dental, vision, and prescription drug coverage
  • Health Coach access
  • Employee Assistance Program with confidential assessment, counseling, and referral services
  • 401(k) savings plan with company matching contributions and company retirement contributions
  • Fidelity resources and planning consultants
  • Tuition assistance
  • Adoption assistance
  • Paid parental leave
  • Disability insurance
  • Life insurance
  • Paid time off for vacation or illness
  • Annual discretionary bonus
  • Relocation assistance
  • Professional development
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service