At a Glance
- Tasks: Design and implement cutting-edge AI/ML architectures to tackle real-world business challenges.
- Company: Join Accenture, a global leader in innovation and professional services.
- Benefits: Enjoy a competitive salary, 25 days vacation, and private medical insurance.
- Other info: Flexible work environment with opportunities for charitable work and career growth.
- Why this job: Make a real impact by solving complex problems with the latest AI technologies.
- Qualifications: Experience in AI/ML platforms and strong cloud infrastructure knowledge required.
The predicted salary is between 60000 - 80000 € per year.
Accenture is a leading global professional services company providing a broad range of services in strategy, consulting, technology, operations, and digital capabilities. With a strong focus on innovation, diversity and inclusion, we help clients transform across all industries.
Responsibilities
- 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.
- 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.
- Help clients to use AI/ML technologies to solve business challenges.
- Design, 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.
Qualifications
- Experience in AI/ML platform technologies and services such as SageMaker/Vertex/Azure ML, OpenAI, LangChain, AutoML, OCR, STT, feature stores, vector databases.
- Knowledge of AI/ML architectural patterns and best practices (e.g., data drift detection, experimentation tracking, RAG, deployment models).
- Strong understanding of cloud infrastructure (networking, security, storage, monitoring, scaling, DR/HA) on one or more cloud platforms.
- Software engineering and DevSecOps experience.
Desired Additional Qualities
- Certified cloud Machine Learning (e.g., AWS Certified Machine Learning – Specialty).
- Certified cloud Architect.
- Experience delivering production AI/ML services for scaled end‑user consumption.
Benefits
- Competitive basic salary plus extensive benefits package.
- 25 days’ vacation per year, private medical insurance, and 3 extra days leave per year for charitable work.
- Flexibility and mobility required; onsite presence with clients and partners may be necessary.
Accenture is an equal opportunities employer and welcomes applications from all sections of society. We do not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law.
AI LLM Technology Architecture Associate Manager employer: Accenture UK & Ireland
Accenture is an exceptional employer, offering a dynamic work environment in Edinburgh that fosters innovation and collaboration. With a strong commitment to employee growth, you will have access to extensive training and development opportunities, alongside a competitive salary and benefits package that includes generous vacation time and support for charitable initiatives. Join a diverse team dedicated to leveraging cutting-edge AI/ML technologies to solve real-world challenges, making a meaningful impact across various industries.
StudySmarter Expert Advice🤫
We think this is how you could land AI LLM Technology Architecture Associate Manager
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Accenture. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your hands-on experience with AI/ML technologies. Share specific examples of how you've tackled challenges using tools like SageMaker or Azure ML.
✨Be Ready for Technical Questions
Brush up on your knowledge of AI/ML architectural patterns and cloud infrastructure. Be prepared to discuss how you've applied these in real-world scenarios, as this will show you're not just book-smart but also practical.
✨Apply Through Our Website
Don't forget to apply through the Accenture website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team.
We think you need these skills to ace AI LLM Technology Architecture Associate Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI LLM Technology Architecture Associate Manager role. Highlight your experience with AI/ML technologies and cloud platforms, as well as any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML and how you can contribute to our team at Accenture. Be sure to mention specific technologies or experiences that relate to the job description.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we love seeing real-world applications of your skills. It helps us understand your hands-on experience!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to the right people. Plus, you'll get to explore more about our culture and values while you're there!
How to prepare for a job interview at Accenture UK & Ireland
✨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 these can solve real-world business challenges.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've used AI/ML to tackle specific business problems. Be ready to explain your thought process and the impact of your solutions, as this will demonstrate your ability to apply technology effectively.
✨Understand Cloud Infrastructure
Familiarise yourself with cloud infrastructure concepts such as networking, security, and storage. Accenture values candidates who can navigate these areas, so be prepared to discuss your experience and how it relates to AI/ML solutions.
✨Engage with the Community
Accenture places a strong emphasis on collaboration and community. Be ready to talk about how you’ve contributed to tech communities or shared insights in your previous roles. This shows that you’re not just a techie but also a team player.
