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For Companies At a Glance
- Tasks: Architect and build cutting-edge AI solutions for top-tier financial clients.
- Company: Join Atlas Technica, a leader in alternative investment technology.
- Benefits: Enjoy a hybrid work environment, performance-based bonuses, and professional growth.
- Why this job: Be the chief architect shaping the future of AI in finance.
- Qualifications: Expertise in Microsoft ecosystem, AI infrastructure, and scripting required.
- Other info: Dynamic role with hands-on execution and mentorship opportunities.
The predicted salary is between 72000 - 108000 £ per year.
Location: Remote UK, London Preferred
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 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
✨Tip Number 1
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 game. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and compliance. This is your chance to demonstrate your hands-on experience and technical chops to potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI architecture. Think about how you’d tackle real-world problems, like designing secure frameworks or managing compliance. We want to see your thought process in action!
✨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, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Principal AI Architect
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 365, Azure AI Foundry, and any relevant projects that showcase your ability to architect and build technical solutions.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of how you've tackled similar challenges in the past, especially in financial services or regulated environments.
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Include links to projects or repositories where we can see your PowerShell scripts or Python code in action. This will give us a taste of your technical chops.
Apply Through Our Website: We encourage you to apply through our website for a smoother application 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 Atlas Technica LLC
✨Know Your Tech Inside Out
Make sure you’re well-versed in the Microsoft ecosystem, especially Microsoft 365 and Azure AI Foundry. Brush up on your PowerShell and Python skills, as you'll likely be asked to demonstrate your technical chops during the interview.
✨Showcase Your Hands-On Experience
This role is all about building and architecting solutions, so be ready to discuss specific projects where you've done just that. Highlight your experience with AI frameworks and how you've tackled challenges in previous roles.
✨Understand the Financial Services Landscape
Familiarise yourself with the nuances of hedge funds and private equity firms. Be prepared to discuss how your technical solutions can mitigate risks like alpha leakage while ensuring compliance with regulations.
✨Prepare for Scenario-Based Questions
Expect questions that put you in real-world situations related to AI security protocols and compliance. Think through how you would approach designing a 'Safe Zone' or implementing forensic compliance measures, and be ready to articulate your thought process.