Senior AI Architect – Enterprise GenAI & Agent Platforms

Accenture PLC; Redmond; On-site; AUD 236,000 - 598,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Long-term disability

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

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

The role covers end-to-end architecture: agent orchestration, governance, security, LLMOps, observability, and scalable knowledge architectures

Qualifications

• Minimum of 12 years of experience in Python, Java, or equivalent.
• Experience with AI technologies from cloud providers, open source, and third-party tooling.
• Experience in designing and operationalizing large-scale AI/ML solutions on major public clouds.
• Hands-on experience with AI platforms and agent orchestration tools.
• Bachelor's degree or equivalent work experience (12 years).

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 multiple clouds.
• Design reusable AI components, agents, and solution patterns for repeatable engagement delivery.
• Architect and stand up custom agent frameworks across providers; design scalable reference architectures.
• Run AgentOps, LLMOps, AI Governance, AI Security, and Observability; drive MLOps pipelines.

Skills

Python

Java

Observability tooling

Logging

Education

Bachelor's degree or equivalent

Tools

LangGraph

CrewAI

AutoGen

Bedrock AgentCore

Anthropic Claude Agent SDK

Job description

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

The role covers end-to-end architecture: agent orchestration, governance, security, LLMOps, observability, and scalable knowledge architectures