Senior AI Architect: Generative AI & Agent Platforms

Accenture; Bentonville (AR); On-site; USD 140,000 - 200,000; Full time

Job summary

Accenture is seeking an AI/ML Senior Architect to design and scale enterprise-grade AI platforms across public, private, and sovereign clouds. You will partner with clients to define AI strategy, architect reference solutions, and deliver agent frameworks leveraging GenAI and foundation models.

Lead governance, security, and observability across the ML/LLM lifecycle. You will guide engineering teams from ideation through production deployment, working with industry-leading tools and cloud-native

Qualifications

• Minimum of 12 years of experience in Python, Java, or equivalent.
• Minimum of 6 years of experience with AI technologies from public cloud providers, open source, and 3rd party tooling.
• Minimum of 4 years experience designing, engineering, and operationalizing large-scale AI/ML solutions on at least one major public cloud.
• Hands-on experience with AI platforms (Claude, open-source), agentic orchestration tools, and MLOps/LLMOps practices.
• Experience designing scalable AI platforms with knowledge graphs, semantic layers, and governance.

Responsibilities

• Architect enterprise-ready AI agent systems: retrieval, orchestration, governance, evaluation, lifecycle observability.
• Lead architecture workshops with clients 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).
• Design knowledge architectures enabling 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; scale references 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

AI technologies

Cloud platforms

Agentic AI

MLOps/LLMOps

Evaluation tooling & observability

Education

Bachelor's degree or equivalent

Tools

Claude

Bedrock AgentCore

Anthropic Claude Agent SDK

LangGraph

CrewAI

AutoGen

Job description

Accenture is seeking an AI/ML Senior Architect to design and scale enterprise-grade AI platforms across public, private, and sovereign clouds. You will partner with clients to define AI strategy, architect reference solutions, and deliver agent frameworks leveraging GenAI and foundation models.

Lead governance, security, and observability across the ML/LLM lifecycle. You will guide engineering teams from ideation through production deployment, working with industry-leading tools and cloud-native