Senior AI Architect & Agentic Platform Lead

Accenture PLC; Columbus (OH); On-site; USD 151,000 - 331,000; Full time

Job summary

Accenture PLC is seeking an AI/ML Senior Architect to design and scale enterprise-grade AI agent 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.

The role leads end-to-end architecture including agent orchestration, governance, security, and observability while guiding engineering teams from ideation through production deployment of

Qualifications

• Minimum of 12 years of experience in Python, Java, or equivalent.
• 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.
• Minimum of 2 years of hands-on experience with AI platforms, agentic orchestration tools, and MLOps/LLMOps practices.
• Designing and implementing scalable Agentic AI platforms and GenAI frameworks for multiple AI solutions.
• Bachelor's degree or equivalent work experience (minimum 12 years).

Responsibilities

• Architect enterprise-ready AI agent systems across public, private, and sovereign clouds.
• Lead architecture workshops with client and Accenture teams; define requirements and TCO for AI solutions.
• Evaluate and select technologies for full-stack AI platforms; build financial viability models.
• Design blueprints for multi-agent, AI security, governance, and runtime.
• Develop knowledge architectures (knowledge graphs, semantic layers) for enterprise scale AI agents.
• Ensure scalability, security, governance, and performance across cloud environments.
• Create reusable AI components, agents, and solution patterns for repeatable delivery.
• Stand up agent frameworks across providers and design scalable reference architectures.
• Run AgentOps, LLMOps, AI Governance and Observability; drive MLOps pipelines.
• Troubleshoot, optimize, and tune AI systems for cost and reliability.

Skills

Python

Java

AI platforms

Agentic orchestration

LLMOps

Education

Bachelor's degree or equivalent

Tools

Claude

Amazon Bedrock AgentCore

LangGraph

CrewAI

AutoGen

Anthropic Claude Agent SDK

Job description

Accenture PLC is seeking an AI/ML Senior Architect to design and scale enterprise-grade AI agent 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.

The role leads end-to-end architecture including agent orchestration, governance, security, and observability while guiding engineering teams from ideation through production deployment of