Senior AI Architect: GenAI & Agentic Platform Lead

Accenture; Oklahoma City (OK); On-site; USD 140,000 - 210,000; Full time

Job summary

Accenture’s AWS Practice seeks an AI/ML Senior Architect to design full-stack AI architectures on public, private, or sovereign clouds. You will architect enterprise-grade platforms using AI agents, Generative AI, foundation models, and knowledge engineering to solve complex business problems at scale.

You will lead end-to-end architecture for agent orchestration, governance, security, LLMOps, observability, and scalable knowledge graphs, guiding engineering teams from ideation to production

Qualifications

• Minimum of 12 years of experience in Python, Java, or equivalent, with strong observability and tooling.
• Minimum of 6 years of experience with AI technologies from cloud providers, open source, and third-party tooling.
• Minimum of 4 years designing and operating large-scale AI/ML solutions on at least one major public cloud.
• Hands-on experience with AI platforms and agent orchestration tools across ML/LLM lifecycles.
• Bachelor's degree or equivalent work experience (12 years) or 6 years with Associate Degree.

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) for enterprise-scale AI agents.
• Architect for scalability, security, governance, and performance on public, private, and sovereign clouds.
• Design reusable AI components, agents, and solution patterns for repeatable delivery.
• Architect and stand up custom agent frameworks across providers (Bedrock, Claude SDK); scale architectures across engagements.
• Run AgentOps, LLMOps, AI Governance, AI Security, and Observability; drive MLOps pipelines.
• Troubleshoot, optimize, and tune AI systems for performance, cost, reliability, and trust.

Skills

Python

Java

Observability

AI technologies

Cloud experience

Education

Bachelor's degree or equivalent

Tools

LangGraph

CrewAI

AutoGen

Bedrock AgentCore

Claude Agent SDK

Job description

Accenture’s AWS Practice seeks an AI/ML Senior Architect to design full-stack AI architectures on public, private, or sovereign clouds. You will architect enterprise-grade platforms using AI agents, Generative AI, foundation models, and knowledge engineering to solve complex business problems at scale.

You will lead end-to-end architecture for agent orchestration, governance, security, LLMOps, observability, and scalable knowledge graphs, guiding engineering teams from ideation to production