AI Native Transformation Manager
AI summary of the role
Manager-level role in Accenture's Cloud Advisory Practice, leading the design and build of AI-native, multi-agent systems for enterprise clients across financial services, healthcare, procurement, retail, and logistics.
What you’ll do
- Design and build state-of-the-art agentic systems to wrap legacy cores and establish real-time feedback loops
- Leverage agentic architectures, multi-agent orchestration, and composable AI systems alongside distributed patterns (Event Sourcing, Event-Driven Architecture, Microservices, Domain-Driven Design, CQRS)
- Use AI agents to systematically understand existing systems—mapping dependencies, analyzing git history, discovering hidden coupling
- Lead agile teams managing the unique challenges of AI development (iteration on prompts, non-determinism, cost management)
What you’ll bring
- Minimum 3 years hands-on experience building innovative applications, with at least 1 year working with AI/LLM systems in production
- Minimum 3 years experience explaining complex AI concepts to executive audiences
- Minimum 2 years experience designing and building software systems including AI-native architectures
- Minimum 5 years experience leading an agile team and managing AI development challenges
Technologies
Claude API · Neo4j · Qdrant · PostgreSQL · LangChain · LlamaIndex · Kafka · Docker · Kubernetes · AWS · Azure · GCP
About Accenture
Accenture helps enterprises and governments reinvent strategy, technology, operations and customer growth through global consulting, managed services, AI/data, cloud and ecosystem partnerships.
Public · 5000+ people
Employer postings · Data from · Sources