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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Architect - Remote - **Company:** Nava Software Solutions LLC - **Location:** Houston, TX, United States (Remote available) - **Experience:** Expert - **Contract:** Contract - **Skills:** LangGraph Framework, AI Evaluation, Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), Mobile Application Development, Cloud Engineering, Code Review, Python (Programming Language), OpenAI, Software Engineering, Enterprise Search, LangChain, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, AI Coding Agents, Agentic-AI, Git, Containerization, Kubernetes, Information Technology, Bicep, Azure OpenAI API, AutoGen, Machine Learning Operations, Virtual Agents, Azure AI, Terraform, Semantic Kernel, Serverless Computing, Docker - **Published:** October 18, 2026 - **Apply:** https://www.dice.com/job-detail/c1468bef-3cab-4214-bc55-50b183dc57f0 ## About the Role * 10+ years of relevant software engineering experience, including 5+ years in a solution or enterprise architecture role. Experience architecting AI-enabled or AI-native development processes preferred. Cloud-native solution architecture experience preferred. * Demonstrated ability to design and communicate enterprise-grade solution architectures spanning data, integration, security, and AI-native capabilities. * Deep working knowledge of AI-assisted software development practices, including agentic coding workflows, context management, and human-AI collaborative planning methods. * Ability to translate ambiguous business and customer requirements into concrete, testable architecture decisions, and to lead structured, adversarial requirements review to surface gaps before build. * Strong understanding of secure-by-design principles, threat modeling, and software supply chain risk, with the ability to apply them within a regulated (CMMC / NIST SP 800-171) environment. * Ability to mentor and elevate the technical judgment of Solution Architects, Enterprise Architects, and senior engineers across the organization. * Skilled at driving architectural consensus across cross-functional groups, including engineering, product, security, and executive sponsors. * Ability to evaluate emerging AI development tools and practices critically, distinguishing durable architectural improvement from short-term convenience. * Ability to demonstrate independent, objective, open-minded thinking with strong attention to detail and sound judgment. * Must take responsibility for architectural decisions, their rationale, and their downstream consequences. * Must be dependable, highly reliable, and follow through on commitments across multiple concurrent initiatives. * Strong skills in at least one modern language, such as Python, C#/.NET, or Java. Python is preferred for AI work. * Hands-on production experience with Kubernetes and Docker. * Solid experience building and deploying solutions on Microsoft Azure. * Demonstrated experience building agentic AI applications. This includes LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or similar, as well as tool use, memory, and multi-agent patterns. * Experience with RAG pipelines, vector databases, and prompt engineering. * Working knowledge of CI/CD pipelines, Git, and infrastructure-as-code (Terraform, Bicep, or ARM). * Strong communication skills and the ability to work independently in a remote setting. Preferred Qualifications * Experience with Azure OpenAI Service, Azure AI Foundry, or Azure AI Search. * Background in maritime, offshore, energy, or other engineering-driven or regulated industries. * Familiarity with MLOps/LLMOps practices and with AI evaluation and safety frameworks. * Relevant certifications, such as Azure Developer (AZ-204), Azure AI Engineer (AI-102), or CKA/CKAD. * Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. ## Description * Design, develop, and deploy production-grade software and AI-driven applications in a cloud-native environment. * Build and orchestrate agentic AI systems, including multi-step agents, tool and function calling, and retrieval-augmented generation (RAG). These systems should be able to reason, plan, and act across enterprise systems. * Containerize applications with Docker and deploy and manage them on Kubernetes (AKS). * Architect scalable, secure solutions on Microsoft Azure, using services such as Azure OpenAI / AI Foundry, Azure Functions, and Azure DevOps. * Integrate LLM-based agents with internal APIs, data sources, and business workflows. * Put evaluation, monitoring, guardrails, and observability in place for AI agents running in production. * Work with architects, data engineers, product owners, and business stakeholders in an Agile environment. * Contribute to code reviews, technical design, and engineering best practices. Mentor less experienced engineers.