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About the Role

As an AI Delivery Tech Lead in Accenture Song Service, you will play a key role in delivering AI systems at enterprise scale, contributing to and supporting the delivery of transformational customer platform solutions that take agentic products from prototype to production. Our mission is to help our clients deliver exceptional human and agentic experiences that deliver simplicity, cost transformation, and an engine for growth.

Responsibilities

Architect and build agentic experiences to production
Work in a technical capacity contributing through hands-on CCaaS/AI design and build to deliver customer experience and contact platforms at scale
Be at the forefront of CCaaS and AI innovation, helping clients build connected, always-on service models for their customers
Transform customer journeys and service interactions using data, CCaaS platforms and AI to create seamless and consistent experiences
Contribute to building and delivery of RAG pipelines, multi-agent orchestration and eval frameworks for enterprise-scale AI deployments
Support client teams on AI architecture decisions, platform selection and build vs buy trade-offs
Define technical delivery approaches and infrastructure strategies
Engage credibly with client technical teams at Manager/Lead level
Translate complex technical constraints into clear strategic recommendations
Contribute to delivering transformational customer platform solutions for clients who want deeper understanding of how customers engage with their products and services
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 closely 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 AI engineering and agentic delivery

Requirements

Solid hands-on engineering experience with a track record of building AI systems, ideally with some exposure to enterprise or production environments
Passionate about shipping real AI products and eager to grow understanding of building and running AI systems at scale in regulated environments
Strong engineering background with production experience in Python and similar languages across AI systems
Experience building or contributing to RAG pipelines, multi-agent systems or LLM-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 eval frameworks, red-teaming processes and quality measurement for AI systems
A portfolio or track record that demonstrates deployed or near-production AI systems, with an interest in regulated or enterprise environments
Some experience working within engineering teams in agile, client-facing delivery contexts
Practical experience with Agentic frameworks: LangGraph, LangChain, CrewAI, Agentforce or similar
Practical experience with Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock
Practical experience with Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector
Practical experience with Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio
Practical experience with CI/CD for AI: version-controlled prompts, automated testing, deployment pipelines
Practical 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
Clear communication of 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
Comfortable leading within agile, collaborative, fast-moving consulting environments
Experience in Telco or Financial Services

Skills

Python
RAG pipelines
Multi-agent systems
LLM-based products
AWS Bedrock
GCP Vertex AI
Azure AI Studio
Agentic frameworks
LangGraph
LangChain
CrewAI
Agentforce
Foundation model providers
Claude Code/Codex/Gemini
OpenAI
Vector databases
Pinecone
Weaviate
LlamaIndex
pgvector
CI/CD for AI
EU AI Act compliance
Bias auditing
Model drift detection
Technical leadership
Communication
Architecture trade-offs
Commercial models
Agile methodologies
Telco
Financial Services
AWS certifications
GCP certifications
Azure certifications
Anthropic AI platforms certifications
Open-source contributions
Contact centre platforms
Genesys
Sierra
Decagon
Parloa
PolyAI
NICE Cognigy
Agentforce Contact Centre
Amazon Connect
EU AI Act certifications
AI governance certifications

Location

London
Manchester
Edinburgh

Work Type

Flexibility and mobility are required
some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities
as flexible as possible to support your specific work/life needs

Experience Level

Benefits

Competitive basic salary
Annual performance bonus
Opportunities to acquire equity
25 days of leave
3 extra volunteering days per year
Family-friendly and flexible work policies
Attractive pension plan
Financial wellbeing support and resources
Private healthcare insurance plan
Mental Wellbeing support
Employee Assistance Programme
Career Development
Counselling
Generous Parental Leave offerings

About the Company

Accenture Song, the world's largest tech-powered creative group, drives lasting growth for clients by helping them design, build, and run meaningful experiences that make people’s lives better, more productive, and more meaningful.
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.
We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries.
Technology is at the core of change today, and we are one of the world’s leaders in driving that change, with strong ecosystem relationships.
We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability.
Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships.
We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Equal Opportunity

Accenture is an equal opportunities employer and encourages applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age citizenship, marital, domestic or civil partnership status, sexual orientation or gender identity.
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.
Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.