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# AI - Integration Application Architect | Onsite (Phoenix, AZ) | 6+ Months

- **Company:** Genius Business Solutions Inc
- **Location:** Phoenix, AZ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Applications Architecture, Application Integration Architecture, Microsoft Azure, Python (Programming Language), Machine Learning, OpenAI, Tensorflow, Systems Integration, Pinecone, LangChain, Retrieval-Augmented Generation, Large Language Models, Model Validation, Event Driven Architecture, AI Platforms, HuggingFace, Weaviate, Machine Learning Operations, FAISS, Software Coding, Semantic Kernel, Microservices
- **Published:** November 14, 2026
- **Apply:** https://www.wayup.com/i-j-AI-Integration-Application-Architect-Onsite-Phoenix-AZ-6-Months-Genius-Business-Solutions-978099257396770/

## About the Role

+ 10+ years in application/solution architecture, with AI/ML integration
 + Hands-on experience with LangChain, Hugging Face, TensorFlow or similar
 + Experience with LLM platforms: OpenAI, Anthropic, Azure OpenAI, AWS Bedrock
 + Strong grasp of RAG and vector databases (Pinecone, Weaviate, FAISS)
 + Solid background in APIs, microservices and event-driven architecture
 + Comfortable in AWS
 + Strong coding skills in Python and Java
 + Understanding of MLOps / LLMOps
Nice to Have Skills: Geospatial domain experience; Semantic Kernel; exposure to model governance, evaluation and cost-optimization tooling

## Description

We are seeking a Senior developer who designs how AI models plug into core systems and applications, integrating LLMs and AI frameworks into the broader tech stack. Builds RAG pipelines, works with vector databases, and exposes AI capabilities through APIs and microservices. Evaluates AI platforms for cost, performance and compliance fit, and owns data privacy, model risk and production monitoring alongside data science, engineering and infrastructure teams.
Job Description/ Responsibilities

 + Design how AI models plug into core systems and applications.
 + Integrate LLMs and AI frameworks using tools like LangChain or Semantic Kernel.
 + Build RAG pipelines and work with vector databases where needed.
 + Set up APIs and microservices to connect AI into the broader tech stack.
 + Evaluate AI platforms for cost, performance and compliance fit.
 + Handle data privacy, model risk and monitoring for anything in production.
 + Work closely with data science, engineering and infrastructure teams.