Full Stack LLM Development Manager
Location: London
Salary: Competitive salary and package dependent on experience
Career Level: Manager
Working across industry groups, our Centre for Advanced AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile technology solutions in the world. You’ll work on innovative projects with colleagues to drive collaboration from strategy through to implementation, using the latest technologies with a particular focus on AI and GenAI to help clients reach new levels.
You will learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and boundaryless opportunities for career advancement. You will work with cutting‑edge technologies and have the opportunity to develop a wide range of new skills on the job.
What you’ll learn
* Use AI/ML technologies to solve business challenges for clients
* Design, develop, deploy and run high‑quality AI/ML solutions across a range of industries with varying business and organisational challenges
* Apply the latest technology solutions from industry and academia to solve real‑world customer problems
Responsibilities
* Design and build use‑case and platform technology solutions to address key business challenges using reference and cutting‑edge technologies and engineering patterns
* Work in multi‑disciplinary teams to build complex solutions from inception through to production and operations
* Contribute to technology strategy and solution design, managing and supporting other developers
* Share insights and experience with the Accenture Data & AI community through client deliveries and research
Qualifications
* Experience with AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB and related tools
* Implementation of AI/ML architectural patterns and best practices (data drift detection, experimentation tracking, RAG, deployment models)
* Experience building and using cloud‑based solutions (networking, security, storage, monitoring, scaling, DR/HA) on one or more cloud platforms
* Software engineering and DevSecOps skills
Set yourself apart
* Certified cloud Machine Learning (e.g., AWS Certified Machine Learning – Specialty)
* Experience building PoCs to aid learning
* Delivery of production AI/ML services for large‑scale end‑user consumption
Benefits
In addition to a competitive basic salary, you will receive an extensive benefits package that includes 30 days’ vacation per year, private medical insurance and an additional 3 days leave per year for charitable work of your choice.
Flexibility and mobility are required to deliver this role, with possible onsite time at client sites and partners.
Closing Date for Applications: 28/02/26
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
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