AI Transformation Architect: Multi-Agent Systems

Accenture; Austin (TX); On-site; USD 150,000 - 250,000; Full time

Job summary

Accenture is seeking a Cloud Architect to lead enterprise AI transformations, crafting agentic, multi-agent systems and composable AI architectures. You will blend AI capabilities with traditional distributed patterns to reimagine core business processes across industries.

The role emphasizes hands-on development, collaboration with clients, and building scalable AI-native solutions, with travel as needed to client sites.

Qualifications

• 3+ years hands-on AI/LLM in production or production-like contexts.
• 3+ years explaining AI concepts to executive audiences.
• 2+ years designing and building AI-native architectures, infra, and integration patterns.
• 5+ years leading an agile AI development team.

Responsibilities

• Design multi-agent architectures for enterprise AI systems.
• Transform legacy cores into composable, event-driven architectures.
• Collaborate with clients to deliver AI-native solutions at enterprise scale.

Skills

AI/LLM experience

Executive communication

AI DevOps

Agile lead

Cloud platforms

Event-driven

Microservices

Docker/Kubernetes

Education

Bachelor's degree

Tools

Claude API

Neo4j

Qdrant

PostgreSQL

Kafka

Kubernetes

Job description

Accenture is seeking a Cloud Architect to lead enterprise AI transformations, crafting agentic, multi-agent systems and composable AI architectures. You will blend AI capabilities with traditional distributed patterns to reimagine core business processes across industries.

The role emphasizes hands-on development, collaboration with clients, and building scalable AI-native solutions, with travel as needed to client sites.