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Lead Solutions Architect – AI & Automation, HR Technology

Job in Seattle, King County, Washington, 98101, USA
Listing for: Software Resources
Full Time position
Listed on 2026-08-31
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Systems Engineer, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 80 - 86 USD Hourly USD 80.00 86.00 HOUR
Job Description & How to Apply Below

Lead Solutions Architect – AI & Automation, HR Technology

Software Resources has an immediate job opportunity for a Lead Solutions Architect – AI & Automation, HR Technology with a major corporation in Burbank, CA or Seattle, WA. 4 days per week on-site Fridays Remote. 12+ month contract Pay Rate: $80 - $86/hr DOE

Role Overview

The Lead Solutions Architect – AI & Automation, HR Technology is a senior subject matter expert responsible for designing end-to-end solution architectures that deliver innovative, scalable, and secure AI and automation capabilities across Disney's corporate functions. This role supports Disney's global storytellers and brands by helping HR Technology modernize processes, improve efficiency, and advance strategic business outcomes. The position partners closely with Domain Architects, Solution Architects, Enterprise Architects, GIS, and business and technology leaders to ensure solutions are strategically aligned, technically sound, secure, and scalable across the enterprise.

Key Responsibilities

As a lead architect, this role designs, governs, and guides AI and automation solutions for HR Technology. The architect ensures solutions align with enterprise architecture standards, support measurable business value, and reflect Disney's collaborative and innovation-focused environment.

Primary responsibilities include:

  • Lead the end-to-end design and architecture of AI and automation solutions across HR Technology, ensuring alignment with enterprise architecture strategy, technical standards, and governance frameworks.
  • Create detailed solution architecture specifications, architecture decision records (ADRs), and technical design documents that clearly define architecture patterns, integration approaches, and technology choices.
  • Conduct solution design reviews and provide architectural governance for AI and automation initiatives, ensuring consistency with reference architectures, standards, and enterprise roadmaps.
  • Partner closely with the Domain Architect to align on architecture patterns, integration standards, and technology roadmaps, while translating business requirements into scalable, secure, cloud-native solution architectures.
  • Lead technology evaluations, proof-of-concept efforts, and platform selection for AI and automation tooling, including enterprise AI platforms and orchestration frameworks.
  • Serve as a hands-on subject matter expert and mentor by training and guiding engineers and other individual contributors on AI, automation, and solution architecture best practices.
  • Support architectural reviews for AI and automation solutions and present recommendations in architecture and security review forums, including ARB and GIS reviews.
  • Break down organizational goals into clear architectural outcomes, define strategies and priorities for AI and automation capabilities, and connect team deliverables to HR and corporate objectives.
  • Provide coaching and feedback to team members, support accountability for commitments, encourage career development, and foster an inclusive environment aligned with Disney values.
  • Explain complex AI and automation concepts to technical and non-technical stakeholders, negotiate trade-offs, and influence adoption of recommended architectures and patterns.
Required Qualifications

• Deep expertise designing AI solutions, including generative AI, large language model (LLM) integration, prompt engineering, retrieval-augmented generation (RAG), AI orchestration frameworks, and responsible AI governance practices.

• Strong background in intelligent process automation, RPA integration patterns, event-driven architectures, workflow orchestration, and hyperautomation strategies.

• Proficiency in application architecture, including microservices, API-first design, cloud-native patterns across Azure, AWS, or GCP, integration architecture, data pipeline design, and security-by-design principles.

• Experience designing scalable, services-oriented architectures on major cloud platforms and integrating AI/ML capabilities into enterprise solutions.

• Strong analytical and problem-solving skills with the ability to navigate ambiguity, solve complex problems, and…

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