AI Transformation Architect for Enterprise Cloud & Agents

Accenture; Arlington (VA); On-site; USD 87,000 - 245,000; Full time

Job summary

Accenture is seeking a Cloud Architect to lead enterprise AI transformation, designing multi-agent systems and composable AI architectures. You will blend AI with distributed systems to reinvent core business processes across industries.

The role emphasizes hands-on delivery, collaboration with clients, and guiding AI-native infrastructure decisions, with flexible travel to client sites. A strong track record in agile leadership and AI platforms is required.

Qualifications

• Minimum 3 years building innovative apps, incl. 1 year with AI/LLM in production.
• 3+ years translating AI capabilities to business value for executives.
• 2+ years designing software systems with AI-native architectures.
• 5+ years leading an agile AI development team.
• 1+ year designing engineering systems and DevOps for AI workloads.
• 1+ year understanding AI economics (token costs, latency).
• Bachelor's degree or equivalent work experience (12 years).

Responsibilities

• Work on AI transformation by designing multi-agent, AI-native architectures.
• Collaborate with cross-functional teams to reimagine enterprise processes.
• Map dependencies and transform legacy cores into composable systems.
• Lead hands-on delivery while guiding client-focused AI initiatives.

Skills

Hands-on AI/LLM

Executive communication

AI DevOps for workloads

Agile team leadership

AI system design

ACPI/multi-agent architectures

Cloud-native architectures

Education

Bachelor's degree or equivalent

Tools

Claude API

Neo4j

Qdrant

PostgreSQL

Kafka

Kinesis

EventBridge

Docker

Kubernetes

LangChain

LlamaIndex

Job description

Accenture is seeking a Cloud Architect to lead enterprise AI transformation, designing multi-agent systems and composable AI architectures. You will blend AI with distributed systems to reinvent core business processes across industries.

The role emphasizes hands-on delivery, collaboration with clients, and guiding AI-native infrastructure decisions, with flexible travel to client sites. A strong track record in agile leadership and AI platforms is required.