> Markdown version of [/jobs/ext/185491-ai-solutions-architect](https://www.wearedevelopers.com/jobs/ext/185491-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:** Cloud Prime - **Location:** Austin, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Cloud Computing, Data Infrastructure, Data Flow Control, Github, Python (Programming Language), Machine Learning, Tensorflow, Google Cloud, Feature Engineering, Pytorch, Large Language Models, Prompt Engineering, Containerization, Scikit Learn, Kubernetes, HuggingFace, Google Cloud Functions, Machine Learning Operations, Docker - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1787e7fa2b5bd3ca ## About the Role * 4+ years designing and deploying AI/ML solutions, preferably in a customer-facing or consulting role. * Hands-on experience building agentic workflows using modern frameworks (LangChain, LlamaIndex, ADK). * Strong expertise in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face). * Practical knowledge of LLM applications, RAG pipelines, vector embeddings, and prompt engineering. * Working knowledge of Google Cloud Platform, including Vertex AI (Agent Builder, Model Garden), BigQuery, and Cloud Run. * Outstanding presentation skills for both technical and executive audiences. * Proven ability to translate complex AI concepts into actionable business strategies and forge relationships with customer leadership. * Experience in preparing data, performing feature engineering, and making AI systems ready for production. Core Competencies: * Rapidly acquire new technical knowledge and demonstrate strong learning agility. * Be a proactive problem-solver driven to find solutions. * Ability to scope solutions, pivot quickly based on feedback, and architect solutions in real-time., * Google Cloud Professional Machine Learning Engineer or Data Engineer certification (or a commitment to achieve one within 6 months). * Experience in sales calls and Statement of Work (SOW) creation. * Familiarity with Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols. * Experience with MLOps, containerization (Docker, Kubernetes), and CI/CD pipelines. * Background in consulting or professional services. Technical Environment * Core AI Stack: Vertex AI Agent Builder, ADK, Gemini APIs, LangChain, LlamaIndex, MCP, A2A protocols. * ML & Data: Python, TensorFlow, PyTorch, Hugging Face, RAG pipelines, and vector databases. * GCP Services: BigQuery, Dataflow, Cloud Run, GKE, Pub/Sub, Cloud Functions. * Development: Docker, Kubernetes, GitHub Actions, Vertex AI Pipelines. ## Description AI Solutions Architect: Bridging Business Vision and Technical Execution As the core technical advisor in this role, you will be responsible for transforming high-level business challenges and executive concepts into practical, production-ready AI solutions for enterprise customers. Your daily focus will be on driving the translation of strategic business requirements into clear, actionable AI solution architectures and functional Minimum Viable Products (MVPs). This requires continuous, high-impact engagement with diverse stakeholders-from C-level executives defining strategy to engineering teams implementing the final solution-to ensure successful deployment. * Deliver production-ready AI solutions that solve business challenges. Translate goals into clear solution architectures and working prototypes (MVPs), engaging with all levels, from engineers to C-level executives. * Design and deploy full agentic workflows using modern frameworks (ADK, MCP, A2A, LangChain, LlamaIndex) and Vertex AI Agent Builder. * Design and champion data infrastructure (vector databases, RAG pipelines, chunking) to prepare data for internal and customer use. * Lead Discovery & Scoping and define objectives, metrics, and constraints with customer leadership. Rapidly scope solutions, moving from concept to proof-of-concept in weeks. * Enable & Educate Advise stakeholders on AI capabilities and best practices through workshops and demos to drive adoption and build confidence in AI transformation., * Daily interaction with customers (discovery, technical discussions, standups, executive presentations). * Up to 30% travel to customer sites, Google offices, and industry events. * Work closely with Cloud Architects, Google Cloud specialists, and internal teams on complex projects. ## Related Videos - [Designing and Deploying Distributed Multimodal Multi-Agent Systems with Google's AI Stac](https://www.wearedevelopers.com/videos/1976-designing-and-deploying-distributed-multimodal-multi-agent-systems-with-google-s-ai-stac) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)