Customer AI Engineer
Accenture UK & Ireland
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Benefits offered by this job
Job summary
Accenture Song is seeking a Customer AI Engineer in London/Manchester to design, build and deploy AI-driven customer solutions across the full delivery lifecycle. You will work on generative AI, agentic workflows and ML models, collaborating with data scientists, architects and client stakeholders to deliver measurable business value.
You'll apply prompt engineering, RAG pipelines and productionising AI products, while staying current with AI advancements.
Qualifications
- Production generative AI experience with LLM tooling (Claude, GPT, Gemini).
- Advanced Python and clean, production-grade code writing.
- Experience with prompt engineering, RAG, and embeddings.
- Experience applying AI to customer growth and marketing challenges.
- Ability to design, train, evaluate and deploy ML models.
- API/microservices development and cloud deployment experience.
- Strong CI/CD, MLOps, versioning and monitoring practices.
- End-to-end delivery experience from problem to deployed solution.
- Fluent English communication for client stakeholders.
Responsibilities
- Design, build and deploy AI-powered tools end to end through live service.
- Develop generative AI solutions using prompting, RAG, fine-tuning and evaluation.
- Implement agentic AI workflows with enterprise systems and data sources.
- Build, train, evaluate and deploy ML models; monitor in production.
- Break problems into components; balance speed with security and maintainability.
- Run experiments, iterate and apply learnings to solutions.
- Translate business problems into AI value and communicate with stakeholders.
- Document patterns and build reusable assets across the practice.
- Contribute to capability building and knowledge sharing within Song AI & Data.
Skills
Education
Tools
Job description
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 efficiently and sustainably through the unlimited potential of imagination, technology and intelligence.
Within Accenture Song sits AI & Data, the practice that builds the data‑led intelligence behind the customer work. Song AI & Data helps organisations unlock value from data, analytics and AI by creating more relevant, personalised and effective customer experiences. Our expertise spans customer insight, data strategy and platforms, advanced analytics, performance optimisation, and AI (including generative AI and agentic AI) transformation.
You will join the Song AI & Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through to building, deploying and operating AI products that deliver measurable business value.
As a Customer AI Engineer, you will design, build and deploy machine learning, generative AI and agentic AI solutions that help our clients better understand, serve and grow their customers. This is a hands‑on engineering role where you will work across the full delivery lifecycle, from understanding the business problem and shaping the solution through to deployment, monitoring and continuous improvement.
Your work could include building a retrieval‑augmented generation solution that helps customer service agents access the right information, developing an agentic workflow that automates campaign planning and optimisation, productionising recommendation and personalisation models, or creating customer intelligence solutions that power segmentation, propensity, next‑best‑action and decisioning capabilities.
You will work in multidisciplinary teams alongside data scientists, architects, engineers and client stakeholders. The problems you work on will often be ambiguous at the outset, requiring you to test assumptions, experiment quickly and iterate towards solutions that are scalable, reliable and ready for production.
This role requires strong technical curiosity and a builder mindset. You will be expected to stay current with developments in machine learning, generative AI and agentic systems, while applying sound engineering principles to create solutions that are secure, maintainable and effective in real‑world environments.
You will also work directly with clients, helping them understand how AI solutions work, what value they can create and the practical considerations involved in deploying them successfully. Whether building a personalisation model, deploying a customer service agent or creating a new customer decisioning capability, your focus will be on delivering measurable customer and business outcomes.
- Design, build and deploy AI‑powered tools, services and applications end to end, from problem definition through to live service and iteration.
- Develop generative AI solutions using prompt and context engineering, coding, retrieval‑augmented generation, fine‑tuning and applying evaluation techniques.
- Implement and optimise agentic AI workflows and multi‑step reasoning pipelines, integrating them with enterprise systems and data sources.
- Build, train, evaluate and deploy machine learning models, and define the approach for running and monitoring them in production.
- Break complex problems into smaller, testable components, and balance speed of experimentation with security, robustness and maintainability.
- Run experiments to test new approaches and techniques, and apply what you learn to the solutions you are building.
- Translate business problems into AI solutions with clear and measurable value, and communicate technical concepts to client stakeholders and non‑technical audiences.
- Document patterns and build reusable assets and best practices that can be applied across the AI & Modelling Craft.
- Contribute to capability building and knowledge sharing across the Song AI & Data practice
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 perks such as:
- 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
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 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.
Visit us at www.accenture.com
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.
- Production generative AI experience. Experience delivering generative AI and LLM‑based solutions into production environments, rather than experiments and proofs of concept alone. You have hands‑on experience with current LLM tooling such as Claude, GPT or Gemini.
- Advanced Python and software engineering. You write clean, production‑grade code rather than scripts, with a good working knowledge of object‑oriented design, asynchronous processing, packaging and automated testing.
- Generative AI and agentic development. Practical experience with prompt engineering, retrieval‑augmented generation pipelines, context management, embeddings and vector databases, and with agentic frameworks such as LangChain, LangGraph or AutoGen.
- Customer domain expertise. Experience applying AI to customer growth, personalisation, marketing, commerce, sales or service challenges. You can engage confidently in discussions about customer and business challenges and understand how AI creates measurable value for both customers and organisations.
- Machine learning foundations. Experience developing, training, evaluating and deploying machine learning models, and understanding when a traditional model is a better answer than an LLM.
- Backend and cloud engineering. API and microservices development using FastAPI or equivalent, and experience deploying and managing AI and machine learning workloads on Azure, AWS or GCP.
- Engineering discipline and MLOps. Version control, CI/CD pipelines, model versioning, and monitoring solutions once they are running in production.
- Delivery track record. Demonstrated end‑to‑end delivery, from problem definition through to a deployed and improved solution. You are comfortable working with incomplete requirements and can create clarity through the work itself.
- Communication and collaboration. Strong analytical and problem‑solving skills, the ability to explain technical concepts to senior client stakeholders, and fluency in English working in global, cross‑functional teams.
- Experience applying AI to customer, marketing, commerce, sales or service challenges.
- Experience with natural language processing, computer vision or multimodal AI models.
- Knowledge of Responsible AI, guardrails and safety practices in production environments.
- Familiarity with Snowflake, Databricks or similar data platforms.
- Consulting or client‑facing delivery experience.
- A bachelor’s or master’s degree in computer science, data science, engineering or a related field.
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