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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solutions Architect - **Company:** Confiz, LLC - **Location:** Denver, CO, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, ARM Architecture, Microsoft Azure, Big Data, C Sharp (Programming Language), Cloud Computing, Continuous Integration, Data as a Services, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), DevOps, Distributed Systems, Python (Programming Language), Machine Learning, Node.Js, SQL Databases, TypeScript, Management of Software Versions, Data Processing, Information Security Management System, Enterprise Software Applications, ReactJS, Large Language Models, Snowflake, Prompt Engineering, Apache Spark, Backend, Containerization, Data Lakes, AngularJS, Kubernetes, Bicep, Graphql, Machine Learning Operations, Front End Software Development, Api Design, Terraform, ISO-14001, Data Pipelines, Docker, Databricks, Microservices - **Published:** July 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0691b5cf974ba456 ## About the Role * 10+ years in software/solution architecture, with 4+ years specifically in AI/ML architecture. * AI/ML: Strong understanding of LLMs, RAG architectures, agentic AI systems, prompt engineering, model fine-tuning, and MLOps. * Databricks: Hands-on experience with Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow, Databricks Workflows), Spark-based data processing. * Full-Stack Development: Working knowledge of front-end (React/Angular) and back-end (Node.js/.NET/Python) development, API design (REST/GraphQL), and microservices architecture. * Cloud Platforms: Experience with Azure (AI Foundry, Cognitive Services) and/or AWS/GCP AI & data services. * Data Engineering: Familiarity with ETL/ELT pipelines, data modeling, and data governance. * Programming: Python (mandatory), plus exposure to SQL, and at least one full-stack language (JavaScript/TypeScript, C#, or Java). * Architecture: Proven experience designing scalable, distributed systems; solid grasp of system design principles, security, and DevOps/CI-CD practices. * Strong stakeholder communication skills - ability to translate technical architecture into business value for both technical and non-technical audiences. Nice to Have * Experience with vector databases (Pinecone, Weaviate, Snowflake Cortex). * Exposure to containerization (Docker/Kubernetes) and infrastructure-as-code (Terraform/Bicep). * Prior experience in a client-facing or pre-sales/solutioning capacity. * Certifications in Azure/AWS AI or Databricks (Databricks Certified Data Engineer/ML Associate). ## Description * Design and architect AI/ML solutions, including LLM-based applications, agentic systems, and predictive models, aligned with business objectives. * Define data architecture and pipelines using Databricks (Delta Lake, Unity Catalog, MLflow) for large-scale data processing and model training/serving. * Architect full-stack solutions that integrate AI models into web/enterprise applications - covering front-end, back-end APIs, and cloud infrastructure. * Evaluate and select appropriate AI frameworks, LLM providers (OpenAI, Anthropic, Azure AI Foundry, etc.), and vector databases for use-case fit. * Establish best practices for model lifecycle management: versioning, monitoring, retraining, and governance. * Collaborate with data engineers, ML engineers, full-stack developers, and product owners to translate business requirements into technical architecture. * Design scalable, secure, and cost-optimized cloud architectures (Azure/AWS/GCP) for AI workloads. * Conduct architecture reviews, POCs, and technical feasibility assessments for new AI initiatives. * Mentor engineering teams on AI integration patterns, prompt engineering, RAG pipelines, and agentic workflows. * Ensure solutions meet performance, security, and compliance standards (data privacy, responsible AI practices)., We have a global team of amazing individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups. What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun. People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. ## Related Videos - [Architecting the Future: Leveraging AI, Cloud, and Data for Business Success](https://www.wearedevelopers.com/videos/1096-architecting-the-future-leveraging-ai-cloud-and-data-for-business-success) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)