AI Architect

AI Architect

Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
SmartChoice International Limited

At a Glance

  • Tasks: Lead AI initiatives and design innovative solutions with cross-functional teams.
  • Company: Dynamic tech firm focused on enterprise AI solutions.
  • Benefits: Competitive contract pay, hybrid work model, and opportunities for professional growth.
  • Other info: Join a forward-thinking team with a focus on responsible AI deployment.
  • Why this job: Shape the future of AI while making a real impact in a collaborative environment.
  • Qualifications: 10+ years in software/data engineering and 5+ years in AI/ML.

The predicted salary is between 80000 - 100000 £ per year.

Location: Hybrid – 2 days onsite at the London office

Employment Type: Contract (Outside IR35)

We are looking for an experienced AI Lead / Architect to drive enterprise AI initiatives. This role blends strategic leadership with hands-on solution design, working closely with Product, Engineering, and Data teams to deliver scalable, practical AI-driven capabilities.

Key Responsibilities

  • Identify and prioritize impactful AI/GenAI use cases with business leaders
  • Define architectures for AI-enabled solutions across data, applications, and workflows
  • Provide hands-on technical leadership in prototyping, model integration, and validation
  • Establish best practices for embedding AI/GenAI into development workflows
  • Build reusable AI patterns and accelerators for enterprise adoption
  • Align with data teams on readiness, governance, and model performance
  • Support frameworks for evaluating and deploying AI responsibly at scale

Required Skills

  • 10–15+ years in software/data engineering or related technical roles
  • 5+ years in AI/ML, with recent GenAI/LLM exposure
  • Proven track record designing and implementing AI solutions in enterprise settings
  • Strong knowledge of LLMs, APIs (OpenAI, Azure OpenAI), and data pipelines
  • Experience collaborating cross-functionally with Product and Engineering teams
  • Ability to balance strategic vision with hands-on execution

Preferred Experience

  • Background in regulated/data-sensitive environments
  • Familiarity with Azure AI, Databricks, or similar ecosystems
  • Experience guiding organizations in structured AI adoption
  • Strong communication and stakeholder influence skills

Attributes

Pragmatic, collaborative, execution-focused, and able to translate complex AI concepts into tangible business value.

AI Architect employer: SmartChoice International Limited

As a leading employer in the AI sector, we offer a dynamic work environment that fosters innovation and collaboration. Our hybrid model allows for flexibility while working alongside talented professionals in our London office, where you will have ample opportunities for personal and professional growth. We prioritise employee development through hands-on projects and strategic leadership roles, ensuring that you can make a meaningful impact in the rapidly evolving field of AI.
SmartChoice International Limited

Contact Detail:

SmartChoice International Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Architect

✨Tip Number 1

Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. Attend industry meetups or webinars to meet potential employers and showcase your expertise.

✨Tip Number 2

Showcase your skills! Create a portfolio that highlights your past AI projects and solutions. This will give you an edge during interviews, as you can demonstrate your hands-on experience and strategic thinking.

✨Tip Number 3

Prepare for those interviews! Research the company’s AI initiatives and come ready with ideas on how you can contribute. Tailor your responses to show how your experience aligns with their needs.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got some fantastic roles waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.

We think you need these skills to ace AI Architect

AI/ML Expertise
GenAI/LLM Knowledge
Software/Data Engineering
Architectural Design for AI Solutions
Prototyping and Model Integration
Data Pipeline Development
Collaboration with Product and Engineering Teams
Strategic Vision and Execution
APIs (OpenAI, Azure OpenAI)
Best Practices for AI Integration
Communication Skills
Stakeholder Influence
Experience in Regulated Environments
Familiarity with Azure AI and Databricks

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the role of AI Architect. Highlight your experience in AI/ML and any relevant projects you've led. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can drive enterprise initiatives at StudySmarter. Keep it engaging and personal.

Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Include specific examples of AI solutions you've designed or implemented, especially those that involved collaboration with cross-functional teams. We love seeing real-world applications!

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at SmartChoice International Limited

✨Know Your AI Stuff

Make sure you brush up on your AI and GenAI knowledge before the interview. Be ready to discuss specific projects you've worked on, especially those involving LLMs and APIs like OpenAI or Azure OpenAI. This will show that you’re not just familiar with the concepts but have practical experience too.

✨Showcase Your Leadership Skills

Since this role involves strategic leadership, prepare examples of how you've led AI initiatives in the past. Think about times when you identified impactful use cases or established best practices. Highlight your ability to balance strategy with hands-on execution.

✨Collaborate Like a Pro

This position requires working closely with Product, Engineering, and Data teams. Be ready to discuss how you've successfully collaborated across different functions. Share specific instances where your communication and stakeholder influence skills made a difference in project outcomes.

✨Prepare for Technical Questions

Expect some technical questions related to architecture design and model integration. Brush up on your knowledge of data pipelines and AI-enabled solutions. Practising explaining complex AI concepts in simple terms can also help demonstrate your pragmatic approach.

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