> Markdown version of [/jobs/ext/4200915-ai-solutions-architect](https://www.wearedevelopers.com/jobs/ext/4200915-ai-solutions-architect). 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). --- # AI Solutions Architect - **Company:** C5i Corporation - **Location:** New York, NY, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** LangGraph Framework, AI Evaluation, Application Programming Interfaces (APIs), Artificial Intelligence, Optical Character Recognition (OCR), Software Quality, Information Extraction, Python (Programming Language), Search Technologies, Software Deployment, Unstructured Data, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Agentic-AI, Machine Learning Operations, Invoking Functions, Human in the Loop, Databricks - **Published:** October 17, 2026 - **Apply:** https://www.juju.com/job/2_166236825 ## About the Role * 8+ years of overall experience, including 2+ years of hands-on GenAI/LLM development * Strong experience building GenAI applications, AI agents, agentic workflows and multi-agent solutions * Hands-on experience with LLMs, RAG, embeddings, vector search, prompt engineering and tool/function calling * Experience with unstructured data processing, including PDF/document extraction, OCR, image processing, classification and summarization * Strong Python development skills, API integration and experience with AI frameworks such as LangChain, LangGraph or equivalent * Familiarity with Databricks AI capabilities, including AI Functions, AI Search/Vector Search, Model Serving and MLflow * Experience with AI evaluation frameworks, guardrails, hallucination testing, human-in-the-loop workflows and AI observability * Ability to review partner AI solution designs, agent workflows, code quality, performance and cost optimization * Experience with AI-assisted/spec-driven development and production deployment of enterprise AI applications ## Description 1. GenAI & Agentic Solution Architecture * These tasks reflect the core responsibility of the role in designing enterprise-grade AI solutions. * Designs and builds GenAI applications, AI agents, agentic workflows, and multi-agent solutions. * Architects solutions using LLMs, RAG, embeddings, vector search, prompt engineering, and tool/function calling. * Leverages Databricks AI capabilities, including AI Functions, AI Search/Vector Search, Model Serving, and MLflow. 2. Unstructured Data & Document Intelligence * These tasks support the processing of documents and unstructured content. * Designs pipelines for PDF/document extraction, OCR, image processing, classification, and summarization. * Develops in Python and integrates AI solutions with enterprise systems through APIs, using frameworks such as LangChain, LangGraph, or equivalent. 3. AI Quality, Safety & Observability * These tasks ensure AI solutions are accurate, safe, and reliable in production. * Defines AI evaluation frameworks, guardrails, and hallucination testing. * Designs human-in-the-loop workflows and implements AI observability. 4. Partner Review & Technical Governance * These tasks ensure partner and vendor AI work meets enterprise standards. * Reviews partner AI solution designs, agent workflows, and code quality. * Assesses and guides performance and cost optimization of AI solutions. 5. Production Delivery & Collaboration * These tasks reflect delivery and collaboration with client and internal teams. * Leads production deployment of enterprise AI applications using AI-assisted/spec-driven development practices. * Works with client stakeholders, including on-site at the client office in Long Island City, NY 1-2 days a week.