Enterprise AI Transformation Architect

Accenture; Minneapolis (MN); On-site; USD 94,000 - 230,000; Full time

Benefits offered by this job

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a Cloud Architect to lead enterprise AI transformation, designing multi-agent systems and composable AI architectures that blend AI with distributed software. You will work across industries to redefine core business processes and deliver scalable, secure cloud solutions.

The role emphasizes hands-on engineering, architectural leadership, and collaboration with clients on AI-native deployments using modern cloud and data technologies.

Qualifications

• Minimum 3 years hands-on experience building AI/LLM applications
• Minimum 3 years translating AI capabilities for business value
• Minimum 2 years designing and building software systems for AI workloads
• 5+ years leading an agile AI development team
• Experience with AI deployment, monitoring, and model lifecycle management
• Understanding of AI economics, token costs, latency tradeoffs, and when to fine-tune vs. prompt

Responsibilities

• Design multi-agent architectures and composable AI systems for enterprise use
• Transform legacy cores into event-driven, AI-native architectures
• Map dependencies and analyze systems to achieve reality-based transformations
• Lead hands-on engineering work and guide teams from front
• Collaborate with clients across financial services, healthcare, procurement, retail, and logistics

Skills

AI/LLM development

Multi-agent systems

Explain complex AI concepts

System design

Education

Bachelor’s degree or equivalent (minimum 12 years)

Tools

LangChain

LlamaIndex

MCP Server/Client

AWS/Azure/GCP

Docker

Kubernetes

Kafka/Kinesis/EventBridge

Neo4j/ChromaDB/Weaviate

Job description

Accenture is seeking a Cloud Architect to lead enterprise AI transformation, designing multi-agent systems and composable AI architectures that blend AI with distributed software. You will work across industries to redefine core business processes and deliver scalable, secure cloud solutions.

The role emphasizes hands-on engineering, architectural leadership, and collaboration with clients on AI-native deployments using modern cloud and data technologies.