Senior AI Architect: Multi-Cloud Agent Platforms

Accenture; Atlanta (GA); On-site; USD 150,000 - 260,000; Full time

Job summary

Accenture AWS Practice 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, foundation models, and cloud-native AI services.

You will lead end-to-end architecture covering agent orchestration, governance, security, LLMOps, and observability while guiding engineering teams from ideation

Qualifications

• 12+ years of experience in Python, Java, or equivalent.
• Experience with AI technologies from public cloud providers and 3rd party tooling.
• 4+ years designing and deploying large-scale AI/ML solutions on major public clouds.
• 2+ years hands-on with AI platforms, agentic orchestration tools, and MLOps/LLMOps.

Responsibilities

• Architect enterprise-grade AI agent systems including retrieval, orchestration, governance, and observability.
• Lead architecture workshops to define requirements and TCO for AI solutions.
• Evaluate and select technologies for full-stack AI platforms and build financial-viability models.
• Design blueprints for multi-agent architectures, AI security, governance, and DevOps.
• Develop knowledge architectures and scalable knowledge graphs for enterprise AI.
• Ensure scalability, security, governance, and performance across cloud environments.
• Create reusable AI components and reference architectures used across engagements.
• Guide engineering teams from ideation to production deployment of GenAI platforms.
• Oversee AgentOps/LLMOps, AI governance, security, and observability.

Skills

Python

Java

Observability

Evaluation tooling

GenAI

AI platforms

MLOps/LLMOps

Cloud-native AI

Education

Bachelor's degree or equivalent

Tools

LangGraph

CrewAI

AutoGen

Bedrock AgentCore

Anthropic Claude Agent SDK

Job description

Accenture AWS Practice 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, foundation models, and cloud-native AI services.

You will lead end-to-end architecture covering agent orchestration, governance, security, LLMOps, and observability while guiding engineering teams from ideation