Enterprise AI Transformation Architect

Accenture

Austin (TX)

Hybrid

USD 120,000 - 180,000

Full time

7 days ago
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Benefits offered by this job

Medical, dental, vision coverage
401(k) plan with company contributions
Paid holidays and PTO

Job summary

Accenture is seeking a Cloud Architect to lead AI-enabled transformation projects for enterprise clients. You will design multi-agent systems, compose AI-native architectures, and partner with clients to redefine core business processes across multiple industries.

The role emphasizes hands-on implementation, collaboration with cross-functional teams, and driving real-time AI feedback loops in cloud environments.

Qualifications

  • Minimum 2 years building innovative applications or open-source contributions.
  • Ability to explain AI concepts to non-technical audiences.
  • Experience designing AI-enabled software systems and fallback mechanisms.
  • At least 4 years in an agile team environment.
  • Experience with AI system observability and debugging (LLM tracing).
  • Bachelor's degree or equivalent work experience (12 years total).

Responsibilities

  • Design multi-agent systems and composable AI architectures for enterprise scale.
  • Collaborate with clients to define, plan, and implement AI and cloud strategies.
  • Transform legacy cores into event-driven, human-AI collaboration patterns.
  • Prototype and deploy AI-native architectures using industry-standard patterns.

Skills

Hands-on AI systems
Explain AI concepts to non-technical
AI observability and debugging
Agile team experience
Cloud platforms (AWS/Azure/GCP)
Multi-agent architectures
Event-driven architectures
Vector databases / RAG

Education

Bachelor's degree or equivalent

Tools

Claude API
Neo4j
Qdrant
PostgreSQL
Kafka
Kinesis
EventBridge
Docker
Kubernetes
LangChain / LlamaIndex
Weaviate
Cloud platforms (AWS/Azure/GCP)

Job description

Accenture is seeking a Cloud Architect to lead AI-enabled transformation projects for enterprise clients. You will design multi-agent systems, compose AI-native architectures, and partner with clients to redefine core business processes across multiple industries.

The role emphasizes hands-on implementation, collaboration with cross-functional teams, and driving real-time AI feedback loops in cloud environments.

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