At a Glance
- Tasks: Design intelligent, data-driven solutions to transform operations and accelerate innovation.
- Company: Join Atos Group, a global leader in digital transformation and AI solutions.
- Benefits: Enjoy a competitive salary, private medical cover, and flexible remote work options.
- Other info: Diverse, inclusive workplace with continuous learning and career growth opportunities.
- Why this job: Make a tangible impact in the fast-growing fields of Data and AI.
- Qualifications: 5+ years in data architecture or AI solution design; strong communication skills required.
The predicted salary is between 80000 - 100000 £ per year.
Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 billion, operating in 61 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries.
The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
We are looking for a senior Presales Data & AI Architect to join Atos UK&I Data, AI, and Digital Transformation Practice. In this customer-facing role, you will work closely with Sales, Portfolio, and Delivery teams to design intelligent, data-driven solutions that help customers leverage data, analytics, and AI to transform operations, accelerate innovation, and improve decision-making.
The role combines data architecture, AI system design, and solution strategy, focusing on AI-as-a-Service (AIaaS) and agentic AI within managed service environments. You will define architectures integrating data platforms, AI models, and autonomous agent frameworks to enable scalable, secure, and ethical AI deployments across industries. As a trusted advisor, you will guide customers in modernising their data ecosystems and operationalising AI through governed, repeatable, and measurable service.
Where purpose meets career:
- Continuous learning and exposure to innovative solutions: Work with a diverse portfolio of customers across multiple industries, tackling challenging data and AI initiatives, and applying your expertise across a variety of technologies, environments, and business contexts.
- High-impact, market-facing role in Data, AI, and modern infrastructure, one of the fastest-growing areas in technology. You will influence strategic decisions, shape innovative solutions, and deliver measurable business outcomes, making a tangible difference for both clients and the organisation.
- Flexible, remote-first role with occasional travel, offering autonomy and the ability to manage your own schedule while staying connected with clients and cross-functional teams. Ideal for self-starters who thrive in an independent, high-responsibility environment.
Skills we can’t do without:
- Professional experience of at least 5 years in data architecture, analytics, or AI solution design, ideally within presales or consulting, with deep expertise in data platforms, governance, and AI/ML system design.
- Hands-on experience designing and deploying AI-as-a-Service and AI platform solutions in hybrid or managed service environments, including familiarity with agentic AI systems, multi-agent orchestration, and AI lifecycle frameworks (MLOps, LLMOps, DataOps).
- Proven presales experience with strong communication and stakeholder engagement skills, able to articulate complex technical solutions, integrate cloud-native AI services and open frameworks (MLflow, LangChain, Hugging Face, OpenAI APIs), and ensure ethical, compliant AI deployments in regulated industries.
Educational Background and Qualifications:
- Degree-qualified in Computer Science, Data Science, AI, or a related technical discipline.
- Professional certifications in data, AI, or architecture frameworks (e.g., TOGAF, DAMA, Azure/AWS/GCP AI) are desirable.
Benefits:
- Pension Scheme - contributions matched up to 10%
- Private medical cover
- Income Protection
- Life Assurance
- 25 days paid leave + National Holidays
- Flex benefits program
Note: This role is UK-based and offers a remote working opportunity, with occasional UK domestic travel as required. The successful candidate should hold or be capable of obtaining Security Clearance to work with UK public sector organisations.
As a Disability Confident employer, we encourage applications from all applicants, especially, differently abled applicants. We aim to ensure that those who meet the minimum criteria for this position will be offered an interview. We are committed and willing to making reasonable adjustments to the application and assessment process to accommodate your needs. We are also a care leaver-friendly employer. If you require additional support with your application, please contact our recruiter or send an email to our dedicated mailbox.
Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
Choose your future. Choose Atos.
Presales Data & AI Architect in Aberdeen employer: Atos
Atos is an exceptional employer that prioritises innovation and strategic leadership within the National Security, Safety and Energy sectors. With a strong commitment to employee growth, a collaborative work culture, and comprehensive benefits including a pension scheme and medical cover, Atos provides a rewarding environment for professionals looking to make a significant impact in their field. Located in the UK, this role offers unique opportunities to influence industry trends and drive technological advancements.
StudySmarter Expert Advice🤫
We think this is how you could land Presales Data & AI Architect in Aberdeen
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We think you need these skills to ace Presales Data & AI Architect in Aberdeen
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Atos, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Atos. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Atos
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Atos!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
