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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Architect with AI-Assisted Development Focus - **Company:** Plan A Technologies - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Architectural Patterns, Code Generation, Information Leak Prevention, Distributed Systems, Fault Tolerance, Software Architecture, Software Engineering, Systems Integration, Data Logging, Large Language Models, Multi-Agent Systems, Model Validation, Generative AI, Backend, Information Technology, Low Latency, Production Code, Virtual Agents, Software Coding - **Published:** July 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=330775a038e207aa ## About the Role We are looking for a Solutions Architect with strong coding skills who can design, build, and evolve production-grade agentic AI systems. This role sits at the intersection of software architecture, AI-assisted development, and platform engineering. This is not a research or data-science role. The focus is on real-world systems, developer productivity, and operational excellence. Please note: you must have at least 10+ years of experience as Solutions Architect to be considered for this role., * BS in Computer Science, Software Engineering or equivalent practical experience * Strong background in software architecture and distributed systems * Hands-on coding experience (language-agnostic; backend experience required) * Practical experience integrating and operating LLM-based systems in production * Deep understanding of agentic AI concepts and patterns * Experience designing systems used by developers (internal platforms, APIs, tooling) * Strong communication skills to collaborate with engineering, product, and leadership teams * Excellent organizational, problem solver, and analytical abilities * Excellent verbal and written English communication skills * Initiative and drive to do great things Nice to haves: * Experience with Retrieval-Augmented Generation (RAG) and vector databases * Familiarity with LLM evaluation frameworks and quality metrics * Experience building internal developer platforms or AI enablement initiatives * Understanding of fine-tuning trade-offs and when model tuning is appropriate (not required) * Exposure to platform observability tools for AI systems ## Description * Design and integrate AI solutions using major cloud AI providers such as OpenAI, Anthropic (Claude) Google (Gemini). * Architect provider-agnostic AI layers, including: * Model abstraction and routing * Fallback strategies * Multi-model orchestration * Evaluate new models and providers with a pragmatic, cost-aware mindset. Agentic AI Architecture & Patterns Design and implement agentic AI systems, including: * Single-agent and multi-agent architectures * Planner / executor / reviewer loops * Tool-calling and function-calling patterns * Event-driven and workflow-based agent orchestration * Define interaction patterns between AI agents, backend services, APIs, and human users. * Balance autonomy with control using guardrails and human-in-the-loop mechanisms. AI-Assisted Development Enablement Actively use AI to accelerate software development, including: * Code generation and refactoring * Test creation and validation * Documentation and architecture assistance * Define standards, patterns, and best practices for developers working with AI-assisted tools. * Partner with engineering teams to embed AI into daily development workflows. Software Architecture & Hands-On Coding * Design scalable, secure, and observable systems that embed AI as a first-class architectural component. * Write and review production code (APIs, services, integrations) to validate architectural decisions. * Make pragmatic trade-offs between flexibility, maintainability, cost, and delivery speed. Cost, Performance & Reliability * Monitor and optimize AI system usage, including: * Token and cost management * Latency and throughput * Model performance vs. cost trade-offs * Design architectural controls to prevent cost explosion in agentic systems. * Implement strategies for graceful degradation and safe failure modes. AI Operations, Governance & Safety Design guardrails against: * Prompt injection * Data leakage * Unintended agent behavior * Implement logging, tracing, and evaluation pipelines for AI-driven workflows. * Support safe rollout strategies, experimentation, and continuous improvement of AI systems. ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [The State of GenAI & Machine Learning in 2025](https://www.wearedevelopers.com/videos/1383-the-state-of-genai-machine-learning-in-2025) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [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)