Solution Architect

OP RaaS

Pittsburgh (Allegheny County)

Hybrid

USD 140.000 - 180.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

OP RaaS is seeking a Solution Architect to lead end-to-end architecture for major initiatives, focusing on modernizing the P&D ecosystem and migrating core applications to the cloud. The role emphasizes AI-enabled engineering workflows, with a hybrid work arrangement in key locations.

The ideal candidate will drive technical leadership across multiple streams, mentor teams, and work with stakeholders to deliver secure, reliable, scalable solutions aligned with business goals.

Qualifikationen

  • Bachelor's degree in related field or equivalent
  • Five (5) years of IT/engineering experience; advanced degree may offset
  • Experience with AI integration and cloud migration is preferred

Aufgaben

  • Expose current state architecture and identify options for future state
  • Collaborate with business and IT stakeholders to balance interests
  • Develop migration plans and provide technical leadership
  • Mentor junior staff
  • Perform other duties as assigned

Kenntnisse

AI integration
Solution architecture
Leadership
Stakeholder alignment

Ausbildung

Bachelor's degree

Tools

Atlas
Copilot

Jobbeschreibung

Under limited guidance, work at the business unit level developing the end-to-end solution architecture for significant initiatives in partnership with key business and IT stakeholders. As a key leadership role, the Solution Architect for the Conveyance Agile Release Train will drive the modernization of the Pickup and Delivery (P&D) Conveyance ecosystem, focusing on Network 2.0 Purple Chip initiatives to enable preferred global Pickup & Delivery on-road capabilities. Leveraging advanced AI tools and technologies, the architect will organize and direct development team workstreams, leading the migration of the core applications such as Manifest, LEO, and FORGE to the cloud and Preferred Future State. Additionally, this position is responsible for integrating AI capabilities into day-to-day engineering workflows using tools like Atlas and copilot assistants, while strictly upholding strong software design fundamentals, system reliability, and enterprise security standards. The position will be initially focused on the Network 2.0 Purple Chip initiatives to enable the preferred global Pickup and Delivery ecosystem, specific to on road capabilities.

Essential Functions
  • Exposes current state architecture and identifies options for future state architecture.
  • Works closely with business and IT stakeholders creating solutions that balance competing interests and concerns.
  • Develops plans for and facilitates the migration from current to selected future state by providing technical leadership to multiple initiatives.
  • Mentor those in less senior positions.
  • Perform other duties as assigned.
Preferred Qualifications
  • Seamlessly integrate AI services with legacy core logistics and tracking applications.
  • Leverages AI tools (e.g., copilots, code generation, automated testing) to accelerate software architecture work.
  • Integrate AI capabilities into day?to?day engineering workflows while maintaining strong fundamentals in software design, reliability, and security.
  • Strong background and technical/operational knowledge specific to on-road pickup & delivery capabilities.
  • Experience or foundational knowledge of Global Pickup and Delivery ecosystem and Network 2.0 Purple Chip initiatives.
Minimum Education

Bachelor's degree in computer science, engineering, information Systems, business and/or equivalent formal training or work experience.

Minimum Experience

Five (5) years equivalent work experience in information technology or engineering environment. A related advanced degree may offset the related experience requirement.

Domicile Information

This is a hybrid position located in any of the following - Memphis TN, Plano/Dallas TX, and Pittsburgh PA. Candidates must live within 50 miles of the campus location. Employees will be required to work at the FedEx campus location several times per week.

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