Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and implementation of cutting-edge AI frameworks for top-tier financial clients.
- Company: Join Atlas Technica, a leader in tech for the alternative investment industry.
- Benefits: Enjoy a competitive salary, performance-based bonuses, and a hybrid work environment.
- Why this job: Be at the forefront of AI innovation, shaping the future of financial services.
- Qualifications: Expertise in Microsoft ecosystems, AI infrastructure, and scripting languages required.
- Other info: Dynamic role with hands-on building and excellent career growth opportunities.
The predicted salary is between 72000 - 108000 £ per year.
Location: Remote UK, London Preferred
Reports To: Global Head of AI & Advisory
About Atlas Technica
Atlas Technica is the premier Managed Service Provider (MSP) for the alternative investment industry. We power the technology behind the world’s leading hedge funds, private equity firms, and family offices. We are currently evolving into the industry’s first Managed Intelligence Provider (MIP), architecting the secure "factory floor" for institutional alpha generation.
The Opportunity
Generative AI is rewriting the playbook for financial services. For our clients, the risk of "leaking alpha" is just as high as the reward. We have launched a dedicated AI Practice to solve the dual challenge of our industry: How do we enable the power of LLMs (Copilot, ChatGPT, Claude) to generate alpha, without compromising security, compliance, or investor trust?
We are seeking a Principal AI Architect to serve as the technical anchor of this practice. You will not be a cog in a machine; you will be the chief architect of our technical roadmap. You will design our proprietary Tier 2 (Scoped Governance) and Tier 3 (Forensic Compliance) frameworks and oversee the implementation of all bespoke AI projects—including Private Enclaves, MCP Servers, and Agentic Workflows—for our top-tier global clients.
Critical Note: This is primarily a hands-on builder role. While you will have the mandate to mentor and scale a team in 2026, your first 12 months will be spent architecting, scripting, and deploying. If your recent experience has been primarily managing people rather than building technical solutions, this role is not for you.
What You Will Do (The Mission)
- Architect the "Safe Zone" (Tier 2): Design the technical middleware using Microsoft Graph API (Sites.Selected) to solve the "Permission Inheritance Trap." You will build the frameworks that restrict AI tools to curated, pristine data libraries.
- Design Forensic Compliance (Tier 3): Implement enterprise-grade prompt journaling and audit logging. You will architect the integration between LLMs and archival platforms like Global Relay and Smarsh to ensure prompt journaling meets SEC/FINRA standards (Rule 17a-4).
- Lead the Atlas AI Lab: Own our internal sandbox environment. You will design, break, and validate new AI security protocols (e.g., Shadow AI blocking via Cato Networks) before they ever touch a client’s production environment.
- Oversee the "AI Project Machine": Act as the lead architect for bespoke client builds. This includes provisioning Azure AI Foundry enclaves and building Model Context Protocol (MCP) servers to connect LLMs to specialized data sources (e.g., Bloomberg, SQL, BioMedical data).
- Lead Technical Validation: Perform feasibility studies against client tenant infrastructure. You are the "Go/No-Go" gate for technical scoping, ensuring our Bill of Materials (BOM) and hour estimates are accurate.
- Hands-On Execution: Serve as the final escalation point for complex deployments. You will write the PowerShell scripts, configure the Intune MAM policies for mobile AI defense, and build the "Golden Image" for AI-ready tenants.
What You Bring (The Stack)
- Microsoft Ecosystem Mastery: Deep expertise in Microsoft 365, SharePoint Online (unique permissions/broken inheritance), and Entra ID (Conditional Access).
- AI Infrastructure Fluency: Hands-on experience with Azure AI Foundry / Studio, the Azure Model Catalog, and frameworks like LangChain.
- Protocol Knowledge: Familiarity with MCP (Model Context Protocol) to connect LLMs to structured data sources (APIs, Databases).
- Security & Compliance: Expertise in Microsoft Purview (Sensitivity Labels, DLP) and Defender for Cloud Apps. You understand the difference between "logging" a prompt and "blocking" MNPI.
- Scripting & API Chops: Fluent in PowerShell and Python. You know how to manipulate the Graph API programmatically.
- Financial Services Context: Experience in a Hedge Fund, Private Equity firm, or highly regulated MSP is highly desirable. You understand the risk of alpha leakage and the requirements of regulatory audits.
Your First 90 Days
- Month 1: Standardize the "Golden Image" for a Tier 2 Scoped Copilot deployment.
- Month 2: Complete the first live pilot of a "Private Claude" Enclave using Azure AI Foundry.
- Month 3: Scale the "AI Project Machine" by onboarding and mentoring your first Forward Deployed Engineering (FDE) resource.
Performance-based Bonus
Hybrid work environment (if NY/London based) or Remote
Principal AI Architect in London employer: Atlas Technica LLC
Contact Detail:
Atlas Technica LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI Architect in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and expertise in AI architecture. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI architecture. Think about how you would tackle real-world problems and be ready to discuss your thought process during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Atlas Technica.
We think you need these skills to ace Principal AI Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal AI Architect role. Highlight your hands-on experience with Microsoft technologies and AI infrastructure. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical chops! Include examples of your work with PowerShell, Python, and any relevant AI frameworks. We’re looking for someone who can hit the ground running.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Atlas Technica LLC
✨Know Your Tech Inside Out
Make sure you’re well-versed in the Microsoft ecosystem, especially Microsoft 365 and SharePoint Online. Brush up on your PowerShell and Python skills, as you'll need to demonstrate your ability to manipulate APIs and write scripts during the interview.
✨Showcase Your Hands-On Experience
Since this role is all about building and architecting, be ready to discuss specific projects where you've designed and implemented AI solutions. Highlight your experience with Azure AI Foundry and any frameworks like LangChain that you've worked with.
✨Understand the Financial Services Landscape
Familiarise yourself with the unique challenges of the financial services sector, particularly around alpha leakage and compliance. Be prepared to discuss how your technical solutions can address these issues while maintaining security and investor trust.
✨Prepare for Technical Validation Scenarios
Expect to face questions that test your ability to perform feasibility studies and technical scoping. Think through potential scenarios where you would act as the 'Go/No-Go' gate and be ready to explain your decision-making process.
