> Markdown version of [/jobs/ext/4705282-w2-only-need-ai-integration-application-architect-phoenix-az-onsite](https://www.wearedevelopers.com/jobs/ext/4705282-w2-only-need-ai-integration-application-architect-phoenix-az-onsite). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # W2 ONLY - Need AI - Integration Application Architect- Phoenix, AZ (Onsite) - **Company:** Digitive LLC - **Location:** Phoenix, AZ, United States - **Experience:** Expert - **Contract:** 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, Pinecone, LangChain, Retrieval-Augmented Generation, Large Language Models, Event Driven Architecture, AI Platforms, HuggingFace, Weaviate, Machine Learning Operations, FAISS, Software Coding, Semantic Kernel, Microservices - **Published:** November 13, 2026 - **Apply:** https://www.dice.com/job-detail/b7ede998-45e0-41df-bd1c-b21ff25feaea ## About the Role * 8+ years in application/solution architecture, 3+ in 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, vector databases (Pinecone, Weaviate, FAISS) * Solid background in APIs, microservices, event driven architecture * Comfortable in AWS * Strong coding skills in Python, Java * Understanding of MLOps/LLMOps ## Description * Design how AI models plug into our 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