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# Senior AI Solution Architect - Remote / Telecommute

- **Company:** CYNET SYSTEMS INC.
- **Location:** Long Beach, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $151,840 - $162,240
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Continuous Integration, Search Technologies, Software Engineering, Systems Integration, Data Logging, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Reliability of Systems, Generative AI, Indexer, Backend, Agentic-AI, Machine Learning Operations, Api Design, Automation Anywhere
- **Published:** November 7, 2026
- **Apply:** https://www.dice.com/job-detail/a1084a5e-30ca-4500-95ce-f2b2c2a23e7f

## About the Role

Our client is looking for a highly skilled software solution architect II, or hands-on architect with strong expertise in building scalable, production-ready AI solutions. The candidate will have hands-on experience in agent-based AI systems, LLM-enabled applications, and cloud-native development, with a focus on enterprise-grade implementations., * Python backend development.

 * Agent-based / agent-oriented development.
 * API development and system integration.
 * LLM-enabled application development.
 * Retrieval-based systems (RAG, vector DB, embeddings).
 * AWS cloud-native development.
 * CI/CD and environment management.
 * Observability (logging, monitoring, tracing).

Preferred Skills:

 * Experience with Generative AI and NLP.
 * Experience deploying ML models in production.
 * Exposure to enterprise AI workflows and automation.

Domain Experience:

 * AI-enabled enterprise workflows.
 * Agent-based systems.
 * Retrieval-augmented applications.

Experience Required:

 * Typically 8+ years of experience in AI, Data Science, or Software Engineering and solution architecture.

## Description

We are looking for Senior AI Solution Architect - Remote / Telecommute for our client in Long Beach, CA, * Design and develop AI/ML pipelines and intelligent applications.

 * Build and implement agent-based workflows and automation systems.
 * Develop LLM-enabled applications including prompt engineering and structured outputs.
 * Implement retrieval-based systems (RAG, vector search, embeddings, indexing).
 * Develop and integrate APIs with backend systems.
 * Deploy and manage applications in cloud environments (AWS preferred).
 * Implement CI/CD pipelines and ensure system reliability.
 * Enable observability through logging, monitoring, and tracing.
 * Collaborate with cross-functional teams to deliver scalable AI solutions.