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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Sr Architect delivering full-stack AI architecture - **Company:** Accenture - **Location:** Redmond, WA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, Information Engineering, DevOps, Graph Database, Performance Tuning, Software Deployment, Private Cloud Environment, Large Language Models, Multi-Agent Systems, IT Architecture, Generative AI, Data Layers, AI Platforms, Machine Learning Operations, Virtual Agents - **Published:** September 20, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-architect-fde-associate-director-redmond-wa--14bcf082-60d0-473f-926a-36fe7c625d6a ## About the Role Amazon Web Services (AWS), Architectural Design, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Blueprints, Cloud Architecture, Cloud Computing, DevOps, Ecosystems, Financial Modeling, Identify Issues, Knowledge Engineering, Knowledge Modeling, Performance Tuning/Optimization, Private Cloud, Problem Solving Skills, Total Cost of Ownership ## Description An AI/ML Sr Architect delivering full-stack AI architecture on public, private, or sovereign clouds. You architect enterprise-grade platforms using AI Agents, Generative AI, Foundation Models, and Knowledge & Data Engineering to solve complex business problems at scale. The Work: The AI/ML Senior Architect is responsible for designing and scaling enterprise-grade Agentic AI platforms across public, private, and sovereign cloud environments. Partners with clients to define AI strategy, architect reference solutions, and deliver AI agent frameworks leveraging GenAI, foundation models, knowledge engineering, and cloud-native AI services. Leads end-to-end architecture covering agent orchestration, governance, security, AgentOps/LLMOps, observability, and scalable knowledge architectures, while guiding engineering teams from ideation through production deployment Generative AI platforms and frameworks used by multiple AI solutions. Responsibilities: * Architect enterprise-ready AI agent systems: retrieval, orchestration, governance, evaluation, lifecycle observability. * Lead architecture workshops with client and Accenture teams; finalize requirements and TCO for AI solutions. * Evaluate, rationalize, and select technologies for full-stack AI platforms; build financial-viability models. * Design architectural blueprints (multi-agent, AI security, runtime, governance, DevOps, knowledge and data layer). * Design knowledge architecture (knowledge graphs, semantic layers) that enables AI agents at enterprise scale. * Architect for scalability, security, governance, and performance on public, private, and sovereign clouds. * Design reusable AI components, agents, and solution patterns for repeatable engagement delivery. * Architect and stand up custom agent frameworks across providers (Amazon Bedrock AgentCore, Anthropic Claude Agent SDK); design reference architectures that scale across engagements. * Run AgentOps, LLMOps, AI Governance, AI Security, and Observability; drive MLOps pipelines for ML and LLM lifecycle. * Troubleshoot, optimize, and tune AI systems for performance, cost, reliability, and trust. Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements. ## Related Videos - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) - [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) - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [From AI Assistance to Agentic Systems: Scaling Sovereign AI in Banking](https://www.wearedevelopers.com/videos/100070-from-ai-assistance-to-agentic-systems-scaling-sovereign-ai-in-banking) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [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)