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Software Development, Software Architect

Remote / Online - Candidates ideally in
Chicago, Cook County, Illinois, 60290, USA
Listing for: Zohorecruit
Remote/Work from Home position
Listed on 2026-10-09
Job specializations:
  • Software Development
    Software Architect
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below

Chicago, United States | Posted on 07/02/2026

Location: 100%
Remote.
If they are residing in the US however, preferred locationisin Chicago, IL or Peoria, IL area.

Duration: 12+months contract

This is Architecture position for AI related projects which require daily communications with business owners and other members of architecture team located in US.

Position’sContributions to Work Group:

  • As a Principal Digital Architect, you will ownthe end-to-end architecture solutions for complex systems—balancing scalability, performance, security, and rapid delivery—while influencing

    Enterprise technology strategy.
  • This role requires strong technical depth,architectural judgment, and the ability to translate ambiguous business needsinto durable, scalable solutions.
  • Own and define solution and platform architectures for large scale, distributed systems from concept through production.
  • Create architecture that meets high standards for scalability, performance, resilience, and security.
  • Partner closely with business leaders, productowners, engineering managers, and delivery teams to ensure architectural alignment with business outcomes.
  • Assess, select, and introduce new technologies,including proof of concept development and architectural spikes.
  • Establish and enforce architectural standards,patterns, and best practices across platform teams.
  • Provide architectural guidance and mentorship to engineering teams, ensuring high quality implementation.
  • Ensure solutions meet security, compliance, and regulatory requirements.
  • Produce and maintain clear architecture documentation,including rationale and tradeoffs.
  • Continuously evolve platform architecture to improve developer productivity, system reliability, and cost efficiency.

Education& Experience

Required:

  • Bachelor’s degree with 5+ years’ experience inthis capacity.

Required Technical Skills (Required):

  • Architectural Thinking:
    Ability to decompose complex problem spaces and develop pragmatic architecture options with clearly articulated trade offs.
  • Technical Leadership:
    Influence without authority; guide teams through architectural decisions and implementation challenges.
  • Communication:
    Clearly articulate complex technical concepts to both technical and non-technical stakeholders.
  • Requirements Analysis:
    Translate business and non-functional requirements into scalable technical designs.
  • Platform & Application Architecture:

    Strong foundation in designing modern application and platform architectures using established patterns and standards.

Consideration for top candidates:

  • Experience defining AI reference architectures and standards for enterprise adoption.
  • Ability to explain and defend architectural trade offs between classical ML, LLM based approaches, and non-AI solutions.
  • Proven experience taking AI systems from proofof concept to scaled production use.
  • Strong programming background in Python andJava, with the ability to reason at code level.
  • Hands on experience with cloud native architectures , including AWS services, containerization, and orchestration(Docker, Kubernetes).
  • Deep understanding of data architecture : SQL and No

    SQL databases, data warehouses (Snowflake specifically), data modeling, replication, and sharding.
  • Experience with modern Dev Ops practices: CI/CD,infrastructure as code, observability, and automated testing.
  • Strong API design experience (REST, GraphQL,gRPC), including versioning and documentation.
  • Ability to evaluate and introduce emerging technologies aligned to business goals.

AI Related

Skills:

  • Hands on experience designing Retrieval Augmented Generation (RAG) architectures,including:
    • Document preprocessing and chunking strategies.
    • Vectorization and embedding models.
    • Query time retrieval, ranking, and context assembly.
  • Deep understanding of embedding techniques, similarity search, and…
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