At a Glance
- Tasks: Design and implement cutting-edge AI solutions for diverse industries.
- Company: Accenture is a global leader in professional services, known for innovation and inclusion.
- Benefits: Enjoy 25 days vacation, private medical insurance, and extra leave for charity work.
- Why this job: Work on impactful projects with the latest tech in a collaborative environment.
- Qualifications: Experience with AI/ML technologies and cloud-based solutions is essential.
- Other info: Flexibility to work onsite with clients is required.
The predicted salary is between 48000 - 84000 £ per year.
Job Description
- Role: AI Architect
- Location: London, Edinburgh, Manchester
- Career Level: Manager
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.
We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.
“Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO
As a team:
- 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. You will be using the latest technologies, with a particular focus on AI and GenAI, with clients to help them get to the next level.
- Your background will involve contributing across projects including software engineering, technology architecture solution implementation, product selection and application strategy definition, or the introduction of technology to drive business improvement into an operational organisation.
- Our team has the remit to operate in multiple industries, including Financial Services, Resources, Products, Communications and Health & Public Services.
In our team you will learn:
- How to help clients to use AI/ML technologies to solve business challenges
- How to design, develop, 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 Specialist, you will:
- Design and build use-case and platform technology solutions to solve key business challenges using reference and cutting-edge technologies and engineering patterns
- Work in multi-disciplinary teams to build complex solutions working from inception through to production and operations
- Contribute to the technology strategy and solution design, managing and supporting other developers
- Contribute to the Accenture Data & AI community, sharing insights and experience of using emerging technologies on client deliveries and through research
Job Qualifications
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
- Implementation of AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment models
- Building and using cloud-based solutions (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).
- Building PoCs to aid learning
- 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 25days’ 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 may be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for.
AI Architect employer: Accenture UK & Ireland
Contact Detail:
Accenture UK & Ireland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Architect
✨Tip Number 1
Familiarise yourself with the latest AI/ML technologies mentioned in the job description, such as Sagemaker, Azure ML, and OpenAI. Being able to discuss these tools confidently during your interview will show that you're proactive and knowledgeable about the field.
✨Tip Number 2
Network with current or former employees of Accenture, especially those in the AI/ML space. They can provide valuable insights into the company culture and the specific skills that are highly valued, which can help you tailor your approach.
✨Tip Number 3
Prepare to discuss real-world applications of AI/ML solutions you've worked on. Be ready to explain how you approached challenges and what impact your solutions had, as this aligns with Accenture's focus on delivering value to clients.
✨Tip Number 4
Stay updated on industry trends and advancements in AI/ML. Being able to reference recent developments or case studies during your conversation can demonstrate your passion for the field and your commitment to continuous learning.
We think you need these skills to ace AI Architect
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the AI Architect position at Accenture. Make sure you understand the key responsibilities and required skills, such as experience with AI/ML technologies and cloud-based solutions.
Tailor Your CV: Customise your CV to highlight relevant experience in AI/ML platform technologies and software engineering. Use specific examples that demonstrate your expertise in building and deploying AI solutions.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for AI and your alignment with Accenture's values of inclusion and diversity. Mention how your background and skills can contribute to their innovative projects.
Showcase Your Projects: If applicable, include links or descriptions of previous projects where you've implemented AI/ML solutions. This could be through personal projects, contributions to open-source, or professional work that showcases your capabilities.
How to prepare for a job interview at Accenture UK & Ireland
✨Showcase Your AI Knowledge
Make sure to brush up on the latest AI/ML technologies and platforms mentioned in the job description, such as Sagemaker, Azure ML, and OpenAI. Be prepared to discuss how you've used these tools in past projects and how they can solve business challenges.
✨Demonstrate Problem-Solving Skills
Accenture values innovative solutions, so be ready to share specific examples of how you've tackled complex problems using AI/ML. Think about your approach to designing and implementing technology solutions and how you can apply that experience to their projects.
✨Emphasise Team Collaboration
Since the role involves working in multi-disciplinary teams, highlight your experience collaborating with others. Discuss how you’ve contributed to team success in previous roles and how you can bring that collaborative spirit to Accenture.
✨Align with Company Values
Familiarise yourself with Accenture's core values, such as inclusion, diversity, and integrity. During the interview, express how your personal values align with theirs and provide examples of how you've demonstrated these values in your professional life.