AI Transformation Lead: Multi-Agent Systems

Accenture

Boston (MA)

On-site

USD 94,000 - 245,000

Full time

14 days+
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Job summary

Accenture is seeking a Cloud Architect focused on enterprise AI transformation, designing multi-agent systems and composable architectures that blend AI with distributed systems. You will partner with clients across financial services, healthcare, procurement, retail, and logistics to reimagine core processes at scale.

Join a hands-on, battle-hardened team and help build end-to-end AI and cloud strategies, addressing security, scalability, and governance while delivering measurable business

Qualifications

  • Bachelor's degree or equivalent work experience (12+ years).
  • 3+ years building AI/LLM applications in production.
  • 3+ years explaining AI concepts to executives and linking tech to business value.
  • 2+ years designing software systems and AI-native architectures.
  • 5+ years leading an agile AI development team.
  • 1+ year DevOps for AI workloads (model deployment, prompts versioning).
  • 1+ year understanding AI economics (token costs, latency).

Responsibilities

  • Design multi-agent systems and composable AI architectures for enterprise scale.
  • Collaborate with clients to reimagine core business processes using AI.
  • Build AI-native, event-driven, and distributed systems with scalable patterns.

Skills

Hands-on AI/LLM production
Explain AI concepts to execs
AI-native architectures
AI team leadership
LLMOps and AI workloads
AI economics understanding

Education

Bachelor's degree or equivalent (12+ years)

Tools

Claude API
Neo4j
Qdrant
PostgreSQL
Kafka/Kinesis/EventBridge
Docker
Kubernetes

Job description

Accenture is seeking a Cloud Architect focused on enterprise AI transformation, designing multi-agent systems and composable architectures that blend AI with distributed systems. You will partner with clients across financial services, healthcare, procurement, retail, and logistics to reimagine core processes at scale.

Join a hands-on, battle-hardened team and help build end-to-end AI and cloud strategies, addressing security, scalability, and governance while delivering measurable business

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