At a Glance
- Tasks: Build and deploy cutting-edge AI/ML features for next-gen financial services.
- Company: Global consultancy with a focus on innovative financial solutions.
- Benefits: Competitive daily rates, hybrid work model, and potential for contract extension.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI in finance.
- Qualifications: Experience in LLM/GenAI, Python, and cloud technologies required.
My global consultancy client is looking for both an AI Architect & Developer for one of their next generation financial services projects.
AI Developer Position
- Contract Length - 6 months (potential for extension)
- Location - London (Hybrid 2-days per week onsite)
- Rate - £580/day (Inside IR35)
What you'll do
- Build and ship end-to-end AI/ML features, from data ingestion and training to deployment, MLOps workflows, CI/CD, and model versioning
- Develop LLM/GenAI solutions: prompt engineering, RAG pipelines, embeddings, vector search, and inference optimisation (LoRA/PEFT, quantisation, GPU/TPU)
- Own observability across data, models, and prompts; run A/B tests, drive evaluation, and embed Responsible AI practices throughout
What you'll need
- Hands-on LLM/GenAI experience (Gemini or open source) including fine-tuning, RAG pipelines, prompt engineering, and graph-based workflows (ADK, MCP)
- Strong Python, API/microservices development, GCP (Vertex AI, BigQuery), CI/CD, and containerisation (Docker, Kubernetes)
- Nice to have: ML frameworks (PyTorch, TensorFlow, Hugging Face), MLOps practices, API Gateway/ISTIO, IAM/data governance, Responsible AI standards
AI Architect Position
- Contract Length - 6 months (potential for extension)
- Location - London (Hybrid 2-days per week onsite)
- Rate - £750/day (Inside IR35)
What you'll do
- Define and own the enterprise AI architecture vision, reference patterns, guidelines, reusable components, and long-term roadmap aligned to business goals, risk posture, and engineering standards across cloud and hybrid environments
- Design secure, scalable AI solutions end-to-end: data ingestion, feature engineering, model training, inference, feedback loops, and MLOps/LLMOps pipelines with CI/CD, versioning, and reproducibility
- Establish integration patterns (APIs, events, microservices) and agentic architectures (multi-agent orchestration, planner-executor, supervisor-worker) to embed AI capabilities into existing platforms and workflows
- Operationalise observability, zero-trust security (BeyondCorp, IAM least-privilege), and model/LLM telemetry — ensuring audit-ready agent interactions, decision provenance, and AI quality metrics
- Collaborate across product, data science, engineering, security, and business stakeholders to translate architecture into high-value solutions, selecting the right frameworks, cloud services, and orchestration tools throughout
What you'll need
- 7+ years designing enterprise AI/agentic architectures using multi-agent orchestration frameworks (LangGraph, Google ADK, MCP, A2A) with hands-on LLM, prompt engineering, and tool/function calling experience
- Deep knowledge of RAG patterns, vector databases, embeddings, API-first integration, event-driven architectures, and GCP (or equivalent hyperscale)
- Nice to have: MLOps/AgentOps, model governance, FCA/PRA compliance, regulated financial services, real-time and streaming inference, IAM/VPC security patterns
AI Architect & Developer in Slough employer: Queen Square Recruitment
Join a forward-thinking global consultancy that champions innovation and excellence in the financial services sector. With a hybrid work model in London, employees enjoy a collaborative culture that fosters professional growth through cutting-edge projects and continuous learning opportunities. The company prioritises responsible AI practices and offers competitive rates, making it an ideal environment for talented AI Architects and Developers seeking meaningful and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land AI Architect & Developer in Slough
✨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’s already in the AI space. We all know that sometimes it’s not just what you know, but who you know that can help land that dream job.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving LLM/GenAI solutions. We recommend sharing your work on platforms like GitHub or even your own website to give potential employers a taste of your skills.
✨Ace the Interview
Prepare for those interviews by brushing up on common questions related to AI architecture and development. We suggest practising your responses to technical questions and scenarios, so you can demonstrate your hands-on experience confidently. Remember, it’s all about showcasing your problem-solving skills!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! We make it easy for you to submit your application and get noticed. Plus, we’re always on the lookout for talented individuals like you to join our team in shaping the future of AI in financial services.
We think you need these skills to ace AI Architect & Developer in Slough
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI Architect & Developer roles. Highlight your hands-on experience with LLM/GenAI and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical prowess! Include specific examples of your work with Python, CI/CD, and MLOps practices. We love seeing concrete evidence of your capabilities, so be detailed about your contributions.
Emphasise Collaboration:Since collaboration is key in our projects, mention any experiences where you’ve worked with cross-functional teams. Whether it’s product, data science, or engineering, we want to know how you’ve contributed to team success!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Queen Square Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific technologies mentioned in the job description, like Python, GCP, and MLOps practices. Brush up on your experience with LLM/GenAI solutions and be ready to discuss your hands-on projects in detail.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles, especially around AI architecture and development. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your thought process.
✨Understand the Business Context
Familiarise yourself with the financial services sector and how AI can drive value in this space. Be prepared to discuss how your architectural decisions can align with business goals and risk management strategies.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current AI projects, team dynamics, or how they measure success in AI implementations. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
