At a Glance
- Tasks: Create and implement AI solutions that drive real-world impact for clients.
- Company: Join Accenture, a leader in tech innovation and customer relevance.
- Benefits: Enjoy competitive salary, flexible work policies, and health benefits.
- Other info: Collaborative environment with opportunities for continuous learning and career growth.
- Why this job: Be at the forefront of AI development and make a difference globally.
- Qualifications: Experience in Python, Generative AI, and problem-solving skills required.
The predicted salary is between 60000 - 80000 £ per year.
- We Are
- 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
- 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 — Lang Chain, Lang Graph, Auto Gen, or similar; building multi-step autonomous workflows
- Machine Learning — model development, training, evaluation, and deployment
- APIs & backend development — Fast API, 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
- 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
- SNGCR01
- 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
- #J-18808-Ljbffr
AI Developer employer: Accenture UK & Ireland
As an AI Transformation & Process Excellence Senior Manager, you will thrive in a dynamic work culture that prioritises innovation and collaboration. Our commitment to employee growth is evident through tailored coaching and development opportunities, ensuring you can lead your team effectively while embedding cutting-edge AI methodologies into client solutions. Located in a vibrant area, we offer unique advantages such as access to industry-leading technology partners and a supportive environment that fosters meaningful contributions to transformative projects.
Contact Details:
Accenture UK & Ireland Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Developer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Accenture UK & Ireland or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Accenture UK & Ireland.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Accenture UK & Ireland.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Accenture UK & Ireland that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Developer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Accenture UK & Ireland.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Accenture UK & Ireland and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Accenture UK & Ireland
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Accenture UK & Ireland uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
