Enterprise AI Delivery Lead — Scale GenAI & CCaaS

Accenture UK & Ireland; Greater London; Sur place; GBP 120 000 - 170 000; Plein temps

Résumé du poste

Accenture Song in London is seeking an AI Delivery Tech Lead to shape and deliver enterprise-scale AI systems, turning prototypes into production-ready capabilities across CCaaS and agentic platforms.

You will mentor engineers, lead multi-team delivery, and collaborate with clients to align architecture decisions with business outcomes. This role offers access to training, a global network, and opportunities to drive measurable cost and performance improvements.

Qualifications

• Production AI experience in Python and related languages.
• Architect AI pipelines and multi-agent/LLM products at enterprise scale.
• Hands-on with major cloud AI platforms (AWS, GCP, Azure).
• Design eval frameworks and quality measurement for AI systems.
• Track record of production deployments in regulated environments.
• Lead engineering teams in agile, client-facing delivery contexts.

Responsabilités

• Architect and build agentic experiences for production.
• Lead CCaaS/AI design and delivery at scale.
• Advise clients on AI architecture decisions and platform choices.
• Deliver transformational customer platform solutions for clients.
• Mentor engineers and grow technical capability within the practice.

Connaissances

Python

RAG pipelines

LLM-based products

Cloud AI platforms

Eval frameworks

Agile leadership

Outils

LangGraph

LangChain

CrewAI

Agentforce

Claude/Code/Codex

AWS Bedrock

GCP Vertex AI

Azure AI Studio

Pinecone

Weaviate

LlamaIndex

pgvector

Description du poste

Accenture Song in London is seeking an AI Delivery Tech Lead to shape and deliver enterprise-scale AI systems, turning prototypes into production-ready capabilities across CCaaS and agentic platforms.

You will mentor engineers, lead multi-team delivery, and collaborate with clients to align architecture decisions with business outcomes. This role offers access to training, a global network, and opportunities to drive measurable cost and performance improvements.