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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:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $73,800.0 - $218,800.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Cloud Engineering, Information Engineering, DevOps, Graph Database, Python (Programming Language), Machine Learning, Open Source Technology, Software Deployment, Workflow Management Systems, Data Logging, Large Language Models, Multi-Agent Systems, IT Architecture, Generative AI, Data Layers, AI Platforms, Machine Learning Operations, Virtual Agents - **Published:** September 18, 2026 - **Apply:** https://www.dice.com/job-detail/a9ca3b13-74d8-4a50-be0b-505b174616a5 ## About the Role 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., * Minimum of 12 years of experience in Python, Java, or equivalent. Comfortable with evaluation tooling, logging, monitoring, and observability. * Minimum of 6 years of experience with key AI technologies from public cloud providers, open source, and 3rd party tooling. * Minimum of 4 years experience in designing, engineering, and operationalizing large-scale AI/ML solutions on at least one major public cloud, using cloud-native AI services and frameworks, open-source technologies, and 3rd party tools. * Minimum of 2 years of experience in the following: + Hands-on experience with AI platforms (Claude, open-source), agentic orchestration tools (LangGraph, CrewAI, AutoGen), and MLOps/LLMOps practices across the ML and LLM lifecycle. + Designing and implementing scaled Agentic AI and Generative AI solutions that are in operations. + Designing and implementing Agentic AI and Generative AI platforms and frameworks used by multiple AI solutions. * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience) ## Description 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., * 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 - [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) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [The State of GenAI & Machine Learning in 2025](https://www.wearedevelopers.com/videos/1383-the-state-of-genai-machine-learning-in-2025) - [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) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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