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We Are
Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence.
Visit us at: https://www.accenture.com/gb-en/about/accenture-song-index
The Data & AI Team
The Data and AI revolution is changing everything. It's everywhere – transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries.
Accenture's Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI.
In the Data & AI Team You Will
- Be at the forefront of the industry, creating and owning AI solutions that make a real impact for clients
- Become an integral part of our Data & AI Song team with the credibility, expertise and insight clients depend on
- Work with famous brands and household names
- Drive and implement real world AI solutions into production that deliver measurable business value
- Work alongside global teams to collaborate and deliver the best solutions for our clients
- Build reusable AI assets and best practices that influence how consulting is delivered at scale
As a Customer AI Developer Specialist, You Will
- Play a key part in delivering impactful Machine Learning (ML) and Generative AI solutions across a variety of industries. You will build and ship AI-powered products — from problem definition through to deployment and iteration — operating at the intersection of data science, technology, and business strategy.
We Need Builders & Solution oriented people
This role is for someone who sees a problem and instinctively starts building. Not waiting for perfect requirements. Building. We look for people who see the gap and can't help themselves — they're already sketching the solution.
- You thrive when a problem is messy and ill-defined. You know how to cut through complexity, run a quick experiment to test your assumptions, learn what is working, and iterate fast. You measure your success by what ships and the impact it creates — not by the elegance of your design document.
- You are energised by ambiguity, not paralysed by it. When a solution doesn't work, you debug it, rethink your approach, and try again. You leave things better than you found them — cleaner, faster, more scalable — because continuous improvement is how you naturally operate.
Key Responsibilities
Machine Learning & AI Development
- Solve complex, real-world business challenges using advanced ML and Generative AI techniques
- Design, build, and ship AI-powered tools, services, and experiments end-to-end
- Implement and optimise agentic AI workflows, multi-step reasoning pipelines, and RAG architectures
- Define strategies to embed, scale, and optimise ML models in production environments
- Experiment rapidly with new approaches — test early, learn fast, improve continuously
- Stay current with emerging AI research, tools, and techniques — and apply them before they become mainstream
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Product Mindset & Delivery
- Break complex problems into simpler, testable, scalable components
- Take full ownership — from idea to deployed solution — without waiting to be told what to do next
- Balance speed of experimentation with robustness, security, and maintainability
- Document patterns and best practices to enable reuse and scaling across the practice
- Operate confidently in ambiguity — define the path forward when requirements are unclear
Business Impact & Collaboration
- Translate business problems into AI solutions with clear, measurable value
- Communicate technical concepts clearly to senior client leadership and non-technical stakeholders
- Contribute to capability building and knowledge sharing across the Data & AI practice
What You Will Bring
Required — Technical Skills
- Advanced Python — writing clean, production-grade code, not just scripts (OOP, async, packaging, testing)
- Generative AI & LLM development — prompt engineering, fine-tuning, RAG pipelines, context window management
- Agentic AI frameworks — LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflows
- Machine Learning — model development, training, evaluation, and deployment
- APIs & backend development — FastAPI, REST APIs, microservices architecture
- Vector databases & embeddings
- Cloud platforms — Azure GCP, or AWS; deploying and managing AI/ML workloads at scale
- Version control & MLOps — Git, CI/CD pipelines, model versioning, monitoring in production
- Data handling
Required — Experience & Mindset
- Demonstrated end-to-end delivery: problem → build → deployed solution → iteration
- Strong experience with Generative AI in production — not just experimentation
- A track record of building working solutions, not just prototypes or proofs of concept
- Hands-on experience with LLM tooling (Claude, GPT-4, Gemini, or equivalent)
- Strong analytical and problem-solving skills — you debug fast and think in systems
- Comfortable working with messy, incomplete requirements and driving clarity through action
- English fluency and comfort working in global, cross-functional teams
Preferred
- Experience with NLP, computer vision, or multimodal AI models
- Knowledge of AI safety, guardrails, and responsible AI practices in production
- Familiarity with Snowflake, Databricks, or similar data platforms
- Prior experience acting as an AI champion or innovator within a larger organisation
- Consulting or client-facing delivery experience
- Bachelor or Master degree in Computer Science, Data Science, Engineering, or related field
Key Competencies
- Solution oriented mentality — sees a problem, starts building, ships, improves
- Experimental mindset — runs fast tests, learns from failure, iterates without ego
- Strong execution and delivery orientation
- Advanced AI engineering and Generative AI expertise
- Collaborative team player
- Curiosity and commitment to continuous learning
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What's in it for You
Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include:
- 25 days of leave per year plus 3 extra volunteering days for charitable work of your choice
- Family-friendly and flexible work policies
- Attractive pension plan with financial wellbeing support and resources
- Private healthcare insurance plan and Mental Wellbeing support
- Employee Assistance Programme, Career Development and Counselling
- A range of generous Parental Leave offerings
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Required — Technical Skills
- Advanced Python — writing clean, production-grade code, not just scripts (OOP, async, packaging, testing)
- Generative AI & LLM development — prompt engineering, fine-tuning, RAG pipelines, context window management
- Agentic AI frameworks — LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflows
- Machine Learning — model development, training, evaluation, and deployment
- APIs & backend development — FastAPI, REST APIs, microservices architecture
- Vector databases & embeddings
- Cloud platforms — Azure GCP, or AWS; deploying and managing AI/ML workloads at scale
- Version control & MLOps — Git, CI/CD pipelines, model versioning, monitoring in production
- Data handling
Required — Experience & Mindset
- Demonstrated end-to-end delivery: problem → build → deployed solution → iteration
- Strong experience with Generative AI in production — not just experimentation
- A track record of building working solutions, not just prototypes or proofs of concept
- Hands-on experience with LLM tooling (Claude, GPT-4, Gemini, or equivalent)
- Strong analytical and problem-solving skills — you debug fast and think in systems
- Comfortable working with messy, incomplete requirements and driving clarity through action
- English fluency and comfort working in global, cross-functional teams
Preferred
- Experience with NLP, computer vision, or multimodal AI models
- Knowledge of AI safety, guardrails, and responsible AI practices in production
- Familiarity with Snowflake, Databricks, or similar data platforms
- Prior experience acting as an AI champion or innovator within a larger organisation
- Consulting or client-facing delivery experience
- Bachelor or Master degree in Computer Science, Data Science, Engineering, or related field
Key Competencies
- Solution oriented mentality — sees a problem, starts building, ships, improves
- Experimental mindset — runs fast tests, learns from failure, iterates without ego
- Strong execution and delivery orientation
- Advanced AI engineering and Generative AI expertise
- Collaborative team player
- Curiosity and commitment to continuous learning
About Accenture
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 helping drive that change, with strong ecosystem
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