At a Glance
- Tasks: Design and implement next-gen AI solutions that tackle real business challenges.
- Company: Join a forward-thinking tech company focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Be at the forefront of AI technology and make a tangible impact.
- Qualifications: Master's or PhD in AI/ML, strong Python skills, and experience with modern AI frameworks.
We're looking for an experienced AI Solution Designer to lead the design, evaluation, and implementation of next-generation AI solutions that are scalable, safe, reliable, and impactful. This is an exciting opportunity for someone with deep expertise in AI/ML technologies, Generative AI, Large Language Models, and MLOps who can transform complex business challenges into innovative AI-driven solutions.
The Opportunity
You will play a key role in defining AI strategy and architecture, designing advanced AI systems, and guiding engineering teams through the delivery of production-grade AI solutions.
Working closely with business and technical stakeholders, you will take ideas from concept through to deployment, ensuring solutions deliver measurable business value while meeting the highest standards of safety, reliability, and responsible AI.
What You'll Be Doing
- Design and develop advanced AI architectures incorporating LLMs, transformers, agent-based systems, and modern AI frameworks
- Lead the design of scalable AI solutions aligned with business objectives
- Architect AI components including RAG pipelines, vector databases, orchestration frameworks, and intelligent agents
- Define standards for model architecture, prompt engineering, and AI pipeline optimisation
- Establish AI evaluation frameworks, performance metrics, validation methodologies, and safety controls
- Ensure AI solutions meet reliability, governance, ethical, and regulatory requirements
- Drive MLOps best practices covering continuous training, testing, deployment, monitoring, and lifecycle management
- Guide infrastructure and platform decisions to ensure AI services are scalable, secure, and production-ready
- Collaborate with stakeholders to define solution direction and clearly communicate architectural decisions
- Provide technical leadership, mentoring, and strategic guidance across AI initiatives
Key Skills & Experience
- Strong academic background with a Master's or PhD in Artificial Intelligence, Machine Learning, Computer Science, or a related discipline
- Deep understanding of machine learning, deep learning, and AI systems design
- Strong knowledge of large language models, transformer architectures, NLP, reinforcement learning, and modern AI methodologies
- Experience working with Graph Databases and knowledge-driven AI architectures
- Expertise designing enterprise-grade Generative AI solutions
- Expert-level Python development
- Strong experience with TensorFlow, PyTorch, or equivalent ML frameworks
- Experience building scalable and production-ready AI platforms
- Strong data engineering knowledge including ETL processes and feature engineering
- LLM architecture and implementation
- Retrieval-Augmented Generation (RAG)
- Vector databases and embeddings
- Agent frameworks and orchestration
- AI evaluation frameworks and testing methodologies
- Prompt engineering and optimisation
- AI safety, reliability, and governance practices
MLOps & Deployment
- End-to-end AI model lifecycle management
- Model versioning, CI/CD, and automated deployment
- Experience with modern MLOps toolchains
- Cloud-based AI deployment and operationalisation
- Monitoring, testing, and continuous improvement of production AI systems
Nice to Have
- Experience leading enterprise AI transformation initiatives
- Background in AI governance and responsible AI frameworks
- Experience with cloud-native AI platforms and AWS-based AI services
- Exposure to knowledge graphs and semantic AI architectures
- Experience mentoring AI engineers, data scientists, and technical teams
- Track record of delivering AI solutions into large-scale enterprise environments
If you're passionate about Generative AI, LLMs, intelligent agents, and building innovative AI solutions that create real business impact, we'd love to hear from you.
AI Solution Designer employer: Luxoft
Luxoft is an excellent employer that fosters a dynamic and collaborative work culture, particularly for those passionate about market risk analytics. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in a supportive agile environment. Located in the United Kingdom, Luxoft offers a unique blend of professional development and a vibrant team atmosphere, making it an ideal place for skilled developers looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Designer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Luxoft!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Solution Designer at Luxoft.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Luxoft.
✨Apply Directly through Our Website
When you find a suitable opening like AI Solution Designer at Luxoft, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Solution Designer
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Luxoft, 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 Luxoft. 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 Luxoft
✨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!
✨Showcase Your Projects
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 Luxoft!
✨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.
