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Accenture

Advises businesses and runs their technology

AI Delivery Tech Lead - Cl8

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • Solid hands-on engineering experience with a track record of building AI systems, ideally with exposure to enterprise or production environments.
  • Strong engineering background with production experience in Python and similar languages across AI systems.
  • Experience building or contributing to retrieval-augmented generation pipelines, multi-agent systems, or large language model-based products, ideally at meaningful scale.
  • Hands-on experience with at least one major cloud AI platform: AWS Bedrock, GCP Vertex AI, or Azure AI Studio.
  • Experience designing evaluation frameworks, red-teaming processes, and quality measurement for AI systems.
  • A portfolio or track record demonstrating deployed or near-production AI systems, with interest in regulated or enterprise environments.
  • Experience working within engineering teams in agile, client-facing delivery contexts.
  • Practical experience with agentic frameworks such as LangGraph, LangChain, CrewAI, Agentforce, or similar.
  • Experience with foundation model providers such as Claude Code, Codex, Gemini, OpenAI, or AWS Bedrock.
  • Experience with vector databases or tools such as Pinecone, Weaviate, LlamaIndex, or pgvector.
  • Experience with continuous integration and continuous delivery for AI, including version-controlled prompts, automated testing, and deployment pipelines.
  • Experience with EU AI Act compliance, bias auditing, and model drift detection.
  • Some technical leadership experience or a demonstrable appetite to grow into team leadership.
  • Experience communicating complex technical topics to client stakeholders.
  • Experience making and communicating architecture trade-offs under delivery pressure.
  • Awareness of commercial models and technical delivery in professional services.
  • Ability to lead within agile, collaborative, fast-moving consulting environments.
  • Experience in Telco or Financial Services.

Responsibilities

  • Work in a technical capacity, contributing through hands-on customer contact as a service and artificial intelligence design and build, to deliver customer experience and contact platforms at scale.
  • Help clients build connected, always-on service models for their customers using customer contact as a service and artificial intelligence innovation.
  • Transform customer journeys and service interactions using data, customer contact as a service platforms, and artificial intelligence.
  • Contribute to building and delivering retrieval-augmented generation pipelines, multi-agent orchestration, and evaluation frameworks for enterprise-scale artificial intelligence deployments.
  • Support client teams on artificial intelligence architecture decisions, platform selection, and build-versus-buy trade-offs.
  • Define technical delivery approaches and infrastructure strategies.
  • Engage with client technical teams at Manager or Lead level.
  • Translate complex technical constraints into clear strategic recommendations.
  • Contribute to delivering transformational customer platform solutions for clients.
  • Contribute to engineering teams across complex, multi-system agentic programmes.
  • Contribute to technical standards, quality frameworks, and architecture governance.
  • Ensure systems are designed for scalability, observability, and compliance.
  • Collaborate with Forward Deployed Engineers, Experience Designers, and Strategy leads.
  • Support more junior engineers and develop technical capability within the practice.
  • Contribute to sales, propositions, and go-to-market activity.
  • Contribute to thought leadership on production artificial intelligence engineering and agentic delivery.

Desired Qualifications

  • Certifications in AWS, GCP, Azure, or Anthropic AI platforms.
  • Open-source contributions to agentic or large language model tooling.
  • Contact centre platform experience, such as Genesys, Sierra, Decagon, Parloa, PolyAI, NICE Cognigy, Agentforce Contact Centre, or Amazon Connect.
  • EU AI Act or AI governance certifications or published guidance.
  • Experience in Telco, Financial Services, or Public Sector.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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