At a Glance
- Tasks: Lead full-stack delivery and security for innovative AI projects in finance.
- Company: Join a dynamic tech firm transforming AI deployment in private equity and finance.
- Benefits: Competitive salary, performance bonuses, and flexible working arrangements.
- Other info: Collaborative culture with opportunities for career growth and mentorship.
- Why this job: Make a real impact by building secure, production-ready AI systems.
- Qualifications: 10+ years in enterprise software with strong full-stack and security expertise.
The predicted salary is between 72000 - 88000 £ per year.
You will be the hands-on technical lead for full-stack delivery, cloud operations and security at Towards AI Deployment, and the main technical counterpart for our clients' IT and security teams. You build production software for private equity-backed businesses and financial firms, ensuring everything we ship and run meets a standard we can evidence to any enterprise security team.
What you will do:
- Discovery and technical planning with client IT teams: scope, architecture, estimates and milestones around their workflows, data and systems.
- Full-stack products (frontend applications, Python services, APIs, databases, background jobs) integrated with enterprise stacks: identity and SSO, ERP, CRM, finance and service-desk systems, data platforms.
- Cloud delivery and production operations: infrastructure as code, containers, separate environments, CI/CD, monitoring, incident response, backups and tested recovery.
- Security across client delivery and our own engineering, from a documented improvement plan: OWASP and ASVS secure development, enterprise identity and access, hardening to Cyber Essentials Plus readiness, AI and agent security, an ISO/IEC 27001-aligned ISMS, UK GDPR work with client legal teams.
- Architecture documentation, handover, procurement security reviews and technical due diligence; mentoring engineers and the deployment templates and review workflows the team builds to.
How we build with AI:
Daily, expert use of Claude Code, Codex, Cursor or similar agentic tools is non-negotiable; engineers who work this way outpace the rest by a wide margin. We expect intelligent supervision: you give the agent the right context, constrain the task, run the tests, catch weak assumptions and take control back when needed. You never ship what you don't understand, and you build the tooling (skills, MCP servers, eval harnesses) that makes the team faster.
Who we are looking for:
- A senior engineer who has run real production systems and earns the trust of enterprise IT and security teams: you can build the product, harden the infrastructure underneath it and walk a client's security team through both.
- Required:
- Full-stack delivery across frontend, backend, databases and deployment, with strong Python and production TypeScript (React, Next.js or comparable).
- Systems administration as part of running production (Linux, Entra ID, Active Directory or Okta, networking, DNS, patching, backups) and production cloud on AWS, Azure or GCP.
- Integration work inside established enterprise IT estates, within client architecture, security-review and change-control processes.
- Hands-on application and cloud security (OWASP, Cyber Essentials, ISO/IEC 27001 or comparable), including the risks introduced by coding agents and their providers.
- Expert daily use of coding agents as your normal workflow, with agent access to client data and production restricted and sensitive actions approved by a human.
- Leading technical discussions with client IT, engineering, security and business teams on architecture, risk, estimates and delivery decisions.
- Typically 10+ years in enterprise software with hands-on ownership of production systems.
Useful:
- Production AI systems or MCP integrations; Microsoft 365, SharePoint, ServiceNow, Salesforce or SAP; Cyber Essentials Plus, ISO/IEC 27001, ISO/IEC 42001 or SOC 2 programmes; consulting, financial services or PE-backed companies.
Level and growth:
A lead role: you own platform, operations and security across engagements and set the standard our engineers build to. As the practice grows, it grows into the engineering leadership of the deployment business or a wider assurance remit across our clients' portfolios.
What every role gets:
- Location: our London office, fully in person, with flexibility when you need it; some travel to clients in the UK and abroad.
- Right to work: you need the right to work in the UK before you start; for exceptional candidates we can sponsor a visa.
- Pay: a market-rate base calibrated to the level, plus a potential performance bonus.
- Tools: team plans on Claude Code and Codex; Granola, Notion, Slack and Linear; the Towards AI curriculum.
- We hire for talent, curiosity and character, and want a team where people of every background can do their best work.
How we hire:
Two to three rounds depending on the role, 45 minutes each; we aim for about three weeks from first conversation to offer: a conversation with two co-founders about what you have built and how you build with AI; a take-home case capped at five hours, delivered as a repo, then a debrief where you present it (no live coding tests); for strategists and enablement leads, a live case or workshop in our London office where possible; then a call with one of our co-CEOs to make the offer, subject to two references and right to work.
About Towards AI Deployment:
Towards AI Deployment is the build side of Towards AI Inc., the AI deployment and education firm founded in 2019. We go into private equity firms, portfolio companies and finance firms and ship AI systems they can actually run: not pilots that quietly die, but tools that hold up in production and change how the business works. We are 20+ people, with experience from Palantir, BCG, UBS, J.P. Morgan, SAP and Mila.
Senior Technical Lead Platform/Security/Full Stack in London employer: Towards AI, Inc.
Towards AI, Inc. is an attractive employer due to its focus on high-quality AI solutions and commitment to mentorship. Employees have the opportunity to work on significant projects with major clients, fostering both personal and professional growth. The company's collaborative culture encourages innovation and excellence in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Technical Lead Platform/Security/Full Stack in London
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We think you need these skills to ace Senior Technical Lead Platform/Security/Full Stack in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Towards AI, Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Towards AI, Inc. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Towards AI, Inc.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Towards AI, Inc. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.