Customer AI Engineer

Salary: £50,000 - 75,000 per year

Requirements:

• We are looking for production generative AI experience, delivering generative AI and LLM-based solutions into production environments.
• We need advanced Python and software engineering skills, including clean production-grade code, object-oriented design, asynchronous processing, packaging and automated testing.
• We are looking for practical experience with prompt engineering, retrieval-augmented generation pipelines, context management, embeddings and vector databases, and agentic frameworks such as LangChain, LangGraph or AutoGen.
• We are looking for experience applying AI to customer growth, personalisation, marketing, commerce, sales or service challenges.
• We need machine learning foundations, including experience developing, training, evaluating and deploying models, and understanding when a traditional model is a better answer than an LLM.
• We are looking for backend and cloud engineering experience, including API and microservices development using FastAPI or equivalent, and deploying AI and machine learning workloads on Azure, AWS or GCP.
• We are looking for engineering discipline and MLOps experience, including version control, CI/CD pipelines, model versioning and monitoring solutions in production.
• We need a demonstrated end-to-end delivery track record, from problem definition through to a deployed and improved solution.
• We are looking for strong analytical and problem-solving skills, the ability to explain technical concepts to senior client stakeholders, and fluency in English in global, cross-functional teams.
• Preferred: experience with natural language processing, computer vision or multimodal AI models.
• Preferred: knowledge of Responsible AI, guardrails and safety practices in production environments.
• Preferred: familiarity with Snowflake, Databricks or similar data platforms.
• Preferred: consulting or client-facing delivery experience.
• Preferred: a bachelors or masters degree in computer science, data science, engineering or a related field.

Responsibilities:

• We design, build and deploy AI-powered tools, services and applications end to end, from problem definition through to live service and iteration.
• We develop generative AI solutions using prompt and context engineering, coding, retrieval-augmented generation, fine-tuning and evaluation techniques.
• We implement and optimise agentic AI workflows and multi-step reasoning pipelines, integrating them with enterprise systems and data sources.
• We build, train, evaluate and deploy machine learning models, and define the approach for running and monitoring them in production.
• We break complex problems into smaller, testable components, balancing speed of experimentation with security, robustness and maintainability.
• We run experiments to test new approaches and techniques, and apply what we learn to the solutions we are building.
• We translate business problems into AI solutions with clear and measurable value, and communicate technical concepts to client stakeholders and non-technical audiences.
• We document patterns and build reusable assets and best practices that can be applied across the AI & Modelling Craft.
• We contribute to capability building and knowledge sharing across the Song AI & Data practice.
• We 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.

Technologies:

• Agentic AI
• AI
• API
• AWS
• Azure
• Backend
• CI/CD
• Cloud
• Computer Vision
• Databricks
• FastAPI
• Fine-tuning
• GCP
• Support
• LLM
• Machine Learning
• Marketing
• MLOps
• Python
• Security
• Snowflake
• microservices

More:

We are Accenture Song, helping our clients accelerate growth and value through sustained customer relevance. Our AI & Data practice builds the data-led intelligence behind customer work, helping organisations unlock value from data, analytics and AI to create more relevant, personalised and effective customer experiences. You will join our Song AI & Data UK practice within the AI & Modelling Craft, a community of data scientists, AI engineers, modellers and solution architects working across the full lifecycle from opportunity identification and solution design through to building, deploying and operating AI products. This is a full-time consultant-level role based in London or Manchester. We offer a competitive total rewards package including basic salary, annual performance bonus, equity opportunities, 25 days of leave plus 3 volunteering days, flexible work policies, pension support, private healthcare, wellbeing support, an Employee Assistance Programme, career development and counselling, and generous parental leave offerings.

last updated 36 week of 2026