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Principal Engineer

Job in Dallas, Dallas County, Texas, 75201, USA
Listing for: Staffing
Full Time position
Listed on 2026-08-20
Job specializations:
  • Software Development
    Software Architect, AI Engineer (Applied/Software)
Job Description & How to Apply Below

Principal Engineer

Location:

Hybrid – New York, NY / Chicago, IL / Dallas, TX

Engagement:
Contract

Role

Summary:

We are seeking a Principal Engineer with strong enterprise architecture and business-process expertise to design and lead AI and automation solutions across complex, multi-system environments. This role requires deep technical experience in integration architecture, data architecture, APIs, event-driven systems, and enterprise platforms, combined with the ability to work directly with business stakeholders to analyze fragmented processes and identify opportunities for AI and deterministic automation.

Required Qualifications:

  • 8+ years of experience in Senior/Staff/Principal Engineering, Enterprise Architecture, Integration Architecture, or Platform Architecture.
  • Strong experience with REST/GraphQL APIs, event-driven architecture, Kafka/Event Bridge, ETL/ELT, iPaaS, and middleware.
  • Strong data architecture experience including data modeling, data lineage, master data management, and system-of-record design.
  • Experience implementing or architecting AI/LLM, RPA, workflow automation, or rules-based automation.
  • Strong knowledge of BPMN 2.0 or equivalent business-process modeling.
  • Experience with enterprise architecture frameworks such as TOGAF.
  • Strong understanding of enterprise security, data privacy, access control, governance, and audit requirements.
  • Excellent communication skills with both technical engineering teams and senior business stakeholders.

Preferred Qualifications:

  • Production experience with OpenAI/Claude APIs, Lang Chain, MCP, or agentic AI architectures.
  • Experience with UiPath, Power Automate, or Automation Anywhere.
  • Experience integrating Salesforce, SAP, Net Suite, Yardi, MRI, or similar enterprise LoB platforms.
  • Experience establishing an AI/Automation Center of Excellence or architecture governance model.
  • TOGAF or cloud architecture certifications.
  • AWS, Azure, or GCP architecture experience.
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