At a Glance
- Tasks: Design and implement AI solutions, ensuring they align with enterprise architecture and governance standards.
- Company: Join a leading bank at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Be a key player in shaping AI technology that transforms banking experiences.
- Qualifications: 7+ years in solution architecture with hands-on GenAI experience.
The predicted salary is between 80000 - 90360 £ per year.
Project description
Overview The Gen AI Solutions Architect is the hands‑on consulting architect who ensures AI use cases across the bank are designed and connected the right way: aligned to the enterprise AI platform architecture, the approved integration patterns, and the bank's governance standards.
As business and technology teams stand up AI‑enabled applications, this role is their design partner, translating platform capabilities and standards into concrete, buildable solution architectures and reviewing designs before they harden.
This is a deeply technical role for an architect who still builds: producing reference architectures, integration patterns, and working examples, and pairing with delivery teams to accelerate adoption while preventing rework and governance escapes.
Responsibilities
- Solution Architecture & Design Consulting
- Serve as the consulting architect for AI use‑case teams across the bank: shape solution designs, data flows, model access patterns, and integration approaches aligned to the enterprise AI platform and gateway architecture.
- Produce and maintain reference architectures, design patterns, and working examples for common use‑case shapes (RAG applications, document processing, workflow automation, agent‑based patterns).
- Review solution designs against platform standards and governance requirements before build; document findings and drive remediation with delivery teams.
- Advise on model selection, prompt/context architecture, retrieval design, and oversight/guardrail patterns appropriate to each use case's risk tier.
- Platform Alignment & Standards Adoption
- Ensure all designs route model access through the governed enterprise gateway with correct entitlements, quotas, and logging; prevent parallel or ungoverned access paths.
- Translate governance standards into architecture requirements delivery teams can implement, and feed practical gaps back into the standards process.
- Partner with platform engineering on the evolution of platform capabilities based on real use‑case demand.
- Document network, identity, data‑classification, and environment‑separation considerations for solution designs.
- Partner with Cybersecurity architecture on AI threat modeling, prompt‑injection risk, and adversarial‑testing requirements for solution designs. Enablement & Capability Transfer
- Pair with application teams that lack AI delivery experience; provide hands‑on design and build guidance through their first implementations.
- Create and deliver architecture enablement materials, design guides, and pattern documentation in the bank's repositories.
- Support solution reviews in governance forums with clear, evidence‑based architecture assessments.
- Transfer patterns, documentation, and working knowledge to bank FTEs throughout the engagement so capability persists post‑contract.
SKILLS
- Minimum of 7 years' experience in solution architecture, application architecture, or senior engineering roles, including hands‑on delivery of cloud‑native applications.
- Hands‑on experience architecting and delivering Gen AI/LLM‑based solutions: model integration, RAG pipelines, prompt/context engineering, and agent or workflow patterns.
- Strong Azure experience: Azure Open AI/AI services, API Management, Entra ID, Key Vault, networking and landing‑zone concepts, and environment separation.
- Demonstrated experience producing reference architectures, integration patterns, and design documentation adopted by multiple teams.
- Experience designing within security, risk, and compliance constraints in a regulated environment.
- Strong consulting skills: stakeholder communication, design facilitation, and the ability to influence without authority.
- Nice to have
- Preferred Qualifications: Financial services experience and familiarity with banking SDLC governance (design gates, architecture review, permit‑to‑build/operate models).
- Experience with AI gateway/governance patterns: model allowlisting, entitlement‑based access, usage controls, audit logging.
- Experience with vector stores, retrieval services, evaluation harnesses, and MCP/tool‑integration patterns.
- Experience mentoring teams new to AI delivery.
- #J-18808-Ljbffr
GenAI Solutions Architect 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 GenAI Solutions Architect
✨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 GenAI Solutions Architect 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 GenAI Solutions Architect 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 GenAI Solutions Architect
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.
