Intelligence Architect in Slough

Intelligence Architect in Slough

Slough Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Conquer AI

At a Glance

  • Tasks: Transform real-world problems into impactful AI systems and deliver production-ready solutions.
  • Company: Conquer AI, a leader in bespoke AI systems for enterprise clients.
  • Benefits: Equity for every hire, remote-first work, and rapid career growth.
  • Other info: Join a high-performance team focused on meaningful operational transformation.
  • Why this job: Gain hands-on experience with cutting-edge AI technology and make a real difference.
  • Qualifications: Strong software engineering skills and experience with AI systems and integrations.

The predicted salary is between 70000 - 90000 £ per year.

Conquer AI is hiring Intelligence Architects who are builders who can take messy, real-world operational problems and turn them into AI systems that actually run in production. This is not a research only role, and it’s not a pure architecture position detached from delivery. It is hands on, delivery focused, and outcome driven. You’ll work directly with clients, engineers, workflows, data, and AI systems to design and deploy production-ready solutions that create measurable operational impact. You’ll be close to the business problem, close to the technical design, and close to the delivery.

What you’ll work on:

  • Agentic AI systems
  • LLM-powered enterprise applications
  • RAG pipelines and knowledge systems
  • Document intelligence and workflow automation
  • AI-driven operational systems
  • Data pipelines and orchestration
  • API and enterprise system integrations
  • Production AI systems deployed inside real client environments

What you’ll do:

  • Run discovery sessions to understand how businesses actually operate
  • Translate operational problems into clear technical approaches across AI, LLMs, APIs, workflows, and data systems
  • Design end-to-end AI systems, not isolated components
  • Work closely with engineers to build and ship production-ready solutions
  • Build reliable, explainable, and scalable AI systems
  • Own delivery from concept through deployment
  • Help clients understand how AI can improve operational workflows
  • Move quickly from ambiguity to working systems

We’re looking for:

  • Strong software engineering and systems thinking capability
  • Hands-on experience with AI, LLMs, RAG, ML systems, agents, or workflow automation
  • Experience designing production systems and integrations
  • Strong understanding of APIs, orchestration, data pipelines, and backend systems
  • Ability to operate in fast-moving, ambiguous environments
  • Clear communication and client-facing confidence
  • A bias for ownership, action, and delivery

This role is ideal for someone who wants:

  • More ownership and autonomy
  • More exposure to real enterprise problems
  • More greenfield AI work
  • More involvement across discovery, architecture, and delivery
  • To build systems that create real operational change
  • To work directly with clients, not just internal teams

Why Conquer AI?

Conquer AI builds bespoke AI systems for enterprise clients. We focus on complex, high value workflows where AI can drive meaningful operational transformation. We move quickly, work closely with clients, and build systems that are designed for real world production use not demos or slide decks. Every hire receives equity, and we’re building a high-performance team where strong people can grow quickly as the company grows.

Location: UK-based
Working style: Remote first with occasional client or team sessions
Start: ASAP
Engagement: Permanent
Seniority: Senior | Principle | Lead Level

Intelligence Architect in Slough employer: Conquer AI

Conquer AI is an exceptional employer for Intelligence Architects, offering a dynamic work culture that prioritises hands-on delivery and real-world impact. With a remote-first approach, employees enjoy flexibility while collaborating closely with clients to tackle complex operational challenges using cutting-edge AI technologies. The company fosters rapid professional growth through equity opportunities and a commitment to building high-performance teams, making it an ideal environment for those seeking meaningful and rewarding careers in AI.

Conquer AI

Contact Details:

Conquer AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Intelligence Architect in Slough

Tip Number 1

Get your hands dirty! When you're applying for a role like Intelligence Architect, it's crucial to showcase your practical experience. Share specific examples of how you've tackled real-world problems with AI systems in past projects during interviews.

Tip Number 2

Network like a pro! Connect with professionals in the AI and machine learning space. Attend meetups, webinars, or even online forums. Building relationships can lead to referrals and insider info about job openings that might not be advertised.

Tip Number 3

Be ready to demonstrate your skills! In interviews, you might be asked to solve a problem on the spot. Brush up on your technical skills and be prepared to discuss your thought process as you design solutions. This shows your hands-on capability.

Tip Number 4

Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your experience aligns with the role, and don’t forget to express your enthusiasm for building impactful AI systems.

We think you need these skills to ace Intelligence Architect in Slough

AI Systems Design
LLM (Large Language Models)
RAG (Retrieval-Augmented Generation)
Machine Learning Systems
Workflow Automation
Data Pipelines
API Integration

Some tips for your application 🫡

Show Your Hands-On Experience:When applying, make sure to highlight your hands-on experience with AI systems and production environments. We want to see how you've tackled real-world problems and delivered solutions that made an impact.

Be Clear and Concise:In your application, clarity is key! Use straightforward language to explain your technical approaches and past projects. We appreciate a well-structured application that gets straight to the point.

Demonstrate Your Client-Facing Skills:Since this role involves working closely with clients, don’t forget to showcase your communication skills. Share examples of how you've successfully interacted with clients and translated their needs into actionable solutions.

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 your enthusiasm for joining our team!

How to prepare for a job interview at Conquer AI

Understand the Business Problem

Before your interview, take some time to research common operational challenges faced by businesses in the AI space. Be ready to discuss how you would translate these problems into technical solutions, as this role is all about bridging the gap between business needs and technical delivery.

Showcase Your Hands-On Experience

This position requires a hands-on approach, so be prepared to share specific examples of projects where you've designed and deployed production-ready AI systems. Highlight your experience with APIs, data pipelines, and any relevant tools or technologies that demonstrate your capability to deliver real-world solutions.

Communicate Clearly and Confidently

Since you'll be working closely with clients, strong communication skills are essential. Practice explaining complex technical concepts in simple terms. During the interview, aim to convey your ideas clearly and confidently, showing that you can engage effectively with both technical teams and non-technical stakeholders.

Demonstrate Your Problem-Solving Skills

Be ready to tackle hypothetical scenarios during the interview. Think through how you would approach ambiguous situations and turn them into actionable plans. Show your potential employer that you have a bias for ownership and action, and that you thrive in fast-moving environments.