AI Delivery Lead: Enterprise CCaaS & GenAI

3003 Accenture (UK) Limited Company; Greater London; On-site; GBP 100,000 - 140,000; Full time

Benefits offered by this job

30 days leave per year

Private healthcare

Pension plan

Employee Assistance Programme

Career development

Parental leave

Job summary

Accenture Song is seeking an AI Delivery Tech Lead to architect and deliver enterprise-scale AI systems. You will lead hands-on CCaaS/AI design and delivery, shaping agentic experiences and orchestration across multiple platforms, while guiding engineering teams and contributing to strategic client outcomes.

You will operate in a dynamic, consulting environment with opportunities to influence architecture decisions, platform selection, and value-driven delivery for major clients.

Qualifications

• Proven track record of shipping production AI systems at enterprise scale.
• Experience leading engineering teams in agile, client-facing delivery.
• Deep hands-on expertise with major cloud AI platforms (AWS Bedrock, GCP Vertex AI, Azure AI Studio).
• Strong architectural skills for RAG pipelines and multi-agent systems.

Responsibilities

• Architect and build agentic experiences to production.
• Contribute through hands-on CCaaS/AI design and build to deliver customer platforms at scale.
• Be at the forefront of CCaaS and AI innovation for connected service models.
• Transform customer journeys using data, CCaaS platforms and AI for seamless experiences.
• Lead delivery of RAG pipelines, multi-agent orchestration and eval frameworks for enterprise-scale AI deployments.
• Mentor engineers and grow technical capability within the practice.

Skills

Python

RAG pipelines

Multi-agent systems

LLM-based products

Cloud platforms

Tools

AWS Bedrock

GCP Vertex AI

Azure AI Studio

Job description

Accenture Song is seeking an AI Delivery Tech Lead to architect and deliver enterprise-scale AI systems. You will lead hands-on CCaaS/AI design and delivery, shaping agentic experiences and orchestration across multiple platforms, while guiding engineering teams and contributing to strategic client outcomes.

You will operate in a dynamic, consulting environment with opportunities to influence architecture decisions, platform selection, and value-driven delivery for major clients.