1 day ago
London, United KingdomSenior
Responsibilities
- Design, build, deploy, monitor, and iterate AI-powered tools, services, and applications end to end.
- Develop generative AI solutions using prompt and context engineering, coding, retrieval-augmented generation, fine-tuning, and evaluation techniques.
- Implement and optimise agentic AI workflows and multi-step reasoning pipelines integrated with enterprise systems and data sources.
- Build, train, evaluate, and deploy machine learning models and define their production monitoring approach.
- Run experiments, break complex problems into testable components, and balance rapid delivery with security, robustness, and maintainability.
- Translate customer and business problems into measurable AI solutions and communicate technical concepts to clients and non-technical audiences.
- Create reusable assets, document best practices, and contribute to capability building and knowledge sharing across the AI and Data practice.
Requirements
- Hands-on experience delivering generative AI and LLM-based solutions into production using tools such as Claude, GPT, or Gemini.
- Advanced Python and production software engineering skills, including object-oriented design, asynchronous processing, packaging, and automated testing.
- Practical experience with prompt engineering, retrieval-augmented generation, context management, embeddings, vector databases, and agentic frameworks such as LangChain, LangGraph, or AutoGen.
- Experience developing, training, evaluating, and deploying machine learning models and selecting traditional models when appropriate instead of LLMs.
- Backend and cloud engineering experience, including API and microservices development with FastAPI or an equivalent and deployment on Azure, AWS, or GCP.
- Experience with version control, CI/CD pipelines, model versioning, and monitoring production AI and machine learning workloads.
- Demonstrated end-to-end delivery experience from problem definition through deployment and improvement, including working with incomplete requirements.
- Strong analytical, problem-solving, communication, and collaboration skills, including the ability to explain technical concepts to senior client stakeholders.
- Experience applying AI to customer growth, personalisation, marketing, commerce, sales, or service challenges.
- Preferred experience with natural language processing, computer vision, multimodal AI models, Responsible AI, guardrails, safety practices, Snowflake, Databricks, consulting, or client-facing delivery.
- A bachelor’s or master’s degree in computer science, data science, engineering, or a related field is preferred.
Benefits
- 25 days of annual leave plus 3 additional volunteering days.
- Family-friendly and flexible work policies.
- Attractive pension plan with financial wellbeing support.
- Private healthcare insurance and mental wellbeing support.
- Employee Assistance Programme, career development, and counselling.
- Generous parental leave offerings.
- The role is based in London or Manchester, UK.
- Total rewards include a competitive basic salary, annual performance bonus, and opportunities to acquire equity; amounts are not specified.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.