Date Posted: 09/21/2026
Hiring Organization: Rose International
Position Number: 507860
Industry: Manufacturing
Job Title: Principal AI Solutions Architect
Job Location: Remote, USA
Work Model: Remote
Work Model Details: preferred location is in Chicago or Peoria area.
Shift: 9:00 a.m. to 5 p.m
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 12
Min Hourly Rate($): 65.00
Max Hourly Rate($): 70.00
Must Have Skills/Attributes: AI, AWS, Enterprise Application, Java, LLM (Large Language Model), Python, RAG (Retrieval-Augmented Generation), Solution Architecture
Experience Desired: Enterprise Solution Architecture (10+ yrs); AI/LLM & RAG Architecture (3+ yrs); Cloud-Native Architecture (AWS, Docker, Kubernetes) (5+ yrs); Python & Java Development (5+ yrs); Enterprise Data & API Architecture (5+ yrs)
Required Minimum Education: Bachelor’s Degree
Job Description
Required Education/Experience:
• Bachelor’s degree with 5+ years of experience in this capacity
Required Qualifications:
• 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’s Contributions to Work Group:
• As a Principal Digital Architect, you will own the 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 needs into durable, scalable solutions.
Typical task breakdown:
• 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, product owners, 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 trade offs.
• Continuously evolve platform architecture to improve developer productivity, system reliability, and cost efficiency.
Required Technical Skills:
• 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 proof of concept to scaled production use.
• Strong programming background in Python and Java, with the ability to reason at code level.
• Proven experience designing and building enterprise scale, distributed systems.
• Hands on experience with cloud native architectures, including AWS services, containerization, and orchestration (Docker, Kubernetes).
• Deep understanding of data architecture: SQL and NoSQL databases, data warehouses (Snowflake specifically), data modeling, replication, and sharding.
• Experience with modern DevOps 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:
• Data ingestion pipelines
• Document preprocessing and chunking strategies
• Vectorization and embedding models
• Query time retrieval, ranking, and context assembly
• Deep understanding of embedding techniques, similarity search, and trade offs across:
• Vector dimensions
• Chunk size and overlap
• Latency vs. recall vs. cost
• Experience with vector databases and search layers (e.g., managed or self hosted vector stores) and their integration into application architectures.
• Experience with Agentic Frameworks
• Ability to architect end to end AI workflows, including:
• Prompt design and prompt versioning
• Context management and memory patterns
• Model routing and fallback strategies
• Knowledge of LLM lifecycle considerations, including:
• Model selection (hosted vs. self hosted)
• Fine tuning vs. RAG vs. hybrid approaches
• Evaluation, monitoring, and drift detection
• Strong understanding of AI system non functional requirements, including:
• Performance and latency optimization
• Cost controls and token efficiency
• Security, data privacy, and guardrails
• Experience integrating AI capabilities into existing enterprise platforms via APIs and event driven architectures.
• Ability to assess, prototype, and productionize emerging AI technologies aligned to business use cases.
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
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