Enterprise AI Transformation Architect

Accenture; Detroit (MI); On-site; USD 120,000 - 190,000; Full time

Job summary

Accenture is seeking a Cloud Architect focused on enterprise AI transformation. You will design multi-agent architectures and composable AI systems that blend AI with traditional distributed patterns, guiding clients through complex cloud migrations and AI initiatives.

You will collaborate with cross-functional teams to map dependencies, transform legacy cores, and deliver AI-native solutions at scale, ensuring secure, resilient, and measurable business impact.

Qualifications

• Minimum 2 years of hands-on experience building innovative applications or open-source contributions.
• Minimum 2 years of experience explaining complex AI concepts to non-technical audiences.
• Minimum 2 years of experience designing software systems that incorporate AI components.
• Minimum of 4 years in an agile team.
• Minimum 2 years of AI observability and debugging experience.
• Bachelor's degree or equivalent work experience (minimum 12 years).

Responsibilities

• Design agentic architectures and multi-agent systems for enterprise AI transformation.
• Collaborate with clients to map dependencies and transform legacy cores into composable, event-driven architectures.
• Build AI-native, scalable solutions that integrate with existing distributed systems.
• Lead hands-on execution and share best practices across teams.

Skills

Hands-on software development

Explain AI concepts

AI system design

Agile teamwork

AI observability

Bachelor's degree or equivalent

Education

Bachelor's degree or equivalent

Tools

Claude API

Neo4j

Qdrant

PostgreSQL

Kafka

Kinesis

Cloud platforms

Job description

Accenture is seeking a Cloud Architect focused on enterprise AI transformation. You will design multi-agent architectures and composable AI systems that blend AI with traditional distributed patterns, guiding clients through complex cloud migrations and AI initiatives.

You will collaborate with cross-functional teams to map dependencies, transform legacy cores, and deliver AI-native solutions at scale, ensuring secure, resilient, and measurable business impact.