At a Glance
- Tasks: Lead the design and deployment of cutting-edge AI/ML solutions for diverse industries.
- Company: Join Accenture, a global leader in professional services and innovation.
- Benefits: Enjoy 30 days vacation, private medical insurance, and extra leave for charity work.
- Why this job: Make a real impact with AI technologies while advancing your career in a vibrant environment.
- Qualifications: Experience in AI/ML platforms and cloud infrastructure is essential.
- Other info: Flexible working with opportunities for training and global networking.
The predicted salary is between 43200 - 72000 £ per year.
Location: Bristol, UK
Salary: Competitive Salary + Package (dependent on experience)
Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application.
As a team: We have exciting opportunities for an AI LLM Architecture Manager to join our Data & AI practice, part of the larger Cloud First Group. We deliver scalable, business-critical and end-to-end solutions for our clients - from data strategy/governance to Core Engineering, enabling them to transform and work in Cloud Technologies. You will learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.
In our team you will learn:
- How to help clients to use AI/ML technologies to solve business challenges
- How to design, deploy and run high-quality AI/ML solutions across a range of industries with varying business and organisational challenges
- The latest technology solutions from industry and academia and how to apply them to solve real-world customer problems
As an AI LLM Architecture Manager, you will:
- Design use-case and platform technology architectures to solve key business challenges using reference and cutting-edge technologies and architectural patterns
- Work in multi-disciplinary teams to refine and deliver architecture, supporting the delivery from inception through to production
- Provide technical leadership to shape technology strategy and solution design, managing and supporting other architects and engineers
- Contribute to the Accenture Data & AI community, sharing insights and experience guiding the creation and establishment of standard patterns and templates for emerging technologies based on client delivery experience and research
We are looking for experience in the following skills and experience:
- AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB.
- AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment models
- Cloud infrastructure (networking, security, storage, monitoring, scaling, DR/HA) on one or more cloud platforms
- SW Engineering and DevSecOps
Set yourself apart:
- Certified cloud Machine Learning (e.g., AWS Certified Machine Learning – Specialty).
- Certified cloud Architect
- Experience of delivering production AI/ML services for scaled end-user consumption
What’s in it for you:
At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for.
Closing Date for Applications: 28/02/2026. Accenture reserves the right to close the role prior to this date should a suitable applicant be found.
About Accenture: 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 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.
AI LLM Technology Architecture Manager in Bristol employer: Accenture
Contact Detail:
Accenture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI LLM Technology Architecture Manager in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and think about how you can contribute to their mission. This will help you stand out as a candidate who truly gets them.
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it relates to the role of AI LLM Architecture Manager. Keep it concise and engaging, so you leave a lasting impression.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace AI LLM Technology Architecture Manager in Bristol
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI LLM Architecture Manager role. Highlight your experience with AI/ML technologies and cloud platforms, as this will show us you’re a great fit for the position.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work that relate to the job description. This helps us see how you can contribute to our team right away.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured documents that are easy to read. Avoid jargon unless it’s relevant to the role, and make sure your passion for AI/ML shines through!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Accenture
✨Know Your Tech Inside Out
Make sure you’re well-versed in AI/ML platform technologies like Sagemaker, Azure ML, and OpenAI. Brush up on architectural patterns and best practices, as you’ll likely be asked to discuss how you’ve applied these in real-world scenarios.
✨Showcase Your Leadership Skills
As a potential AI LLM Architecture Manager, it’s crucial to demonstrate your technical leadership. Prepare examples of how you’ve guided teams in technology strategy and solution design, and be ready to discuss how you manage and support other architects and engineers.
✨Understand the Business Impact
Accenture values the impact of technology on business challenges. Be prepared to discuss how your work with AI/ML has solved specific business problems. Use concrete examples to illustrate your understanding of client needs and how you can address them.
✨Emphasise Your Continuous Learning
With the fast-paced nature of AI and cloud technologies, show that you’re committed to continuous learning. Mention any relevant certifications or training you’ve undertaken, and express your enthusiasm for staying updated with the latest industry trends and technologies.