At a Glance
- Tasks: Architect AI-driven solutions that enhance marketing delivery and improve customer value.
- Company: Join Optimizely, a leading tech company trusted by brands like H&M and PayPal.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a diverse team committed to responsible AI and continuous improvement.
- Why this job: Make a real impact by designing innovative AI systems in a dynamic environment.
- Qualifications: Experience in AI engineering, programming, and systems thinking is essential.
The predicted salary is between 81000 - 99000 £ per year.
We're here to cut through it- with AI that actually works for marketers.
From AI-powered content creation to world-class CMS and the industry's most trusted experimentation platform, Optimizely is the tool modern marketers actually want to use.
AI-Ready. 10,000+ brands including H&M, Pay Pal, and Zoom already get it.
But here's the thing about building great products: it takes great people.
Find us on
Instagram: @optimizely Introduction Professional Services delivery relies on patterns that repeat across many engagements: the same integration issue, the same onboarding friction, the same manual step.
ESAI identifies these patterns and addresses them with AI, building solutions, agents, and automation that improve how engagements are delivered and how quickly customers realize value.
Current platforms include UMP, which migrates customers to Optimizely from any source at scale, and MCP, an AI toolbox that accelerates CMS and Commerce upgrades.
On ESAI, you design and build the AI systems that advance Professional Services delivery.
The role requires identifying where AI improves delivery economics, and building the solution Job Responsibilities Architect AI-driven solutions.
Solutions should be reusable across accounts, not one-off scripts.
Support the internal and Professional Services communities who use what you build, and gather their feedback to confirm solutions meet real needs.
Support fellow architects, and stay informed on Delivery and Product activity so solutions reflect field reality.
Knowledge and Experience We prioritize systems thinking and applied AI engineering skills.
You can reason about an entire architecture, data, integrations, content, commerce, identity, and the seams between them.
CMS, commerce, ERP, CRM, data platforms, integration, and identity.
You see Professional Services delivery as a system that can be redesigned with AI.
Root-cause analysis.
Applied AI engineering.
You have built and shipped production AI systems: agents, LLM-based workflows, and API integrations.
You understand the differences between EMEA and North America delivery, and design solutions for consistent execution across both.
Generative AI and agentic engineering.
Working knowledge of a major cloud platform (AWS, Azure, or GCP), including containers, CI/CD, and model monitoring.
Production-grade programming.
Proficiency in Python or a comparable language, sufficient to build and ship production systems.
Responsible AI and security.
Understanding of bias mitigation, model risk, privacy, compliance, and core security practices: authentication, authorization, encryption, and secrets management.
Solutions you build measurably improve delivery: fewer manual steps, faster engagements, and faster time-to-value for customers.
Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.#
Solutions Architect - Full Time in London employer: Optimizely
At Optimizely, we pride ourselves on fostering a vibrant and inclusive work culture where innovation thrives. As a Director of Security Engineering, you'll be part of a dynamic team that values collaboration and real conversations, empowering you to drive meaningful change in the marketing technology landscape. With ample opportunities for professional growth and a commitment to leveraging cutting-edge AI technologies, you'll find a rewarding environment that not only challenges you but also supports your career aspirations.
StudySmarter Expert Advice🤫
We think this is how you could land Solutions Architect - Full Time in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Optimizely or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Optimizely.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Optimizely.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Optimizely that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Solutions Architect - Full Time 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 Optimizely.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Optimizely 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 Optimizely
✨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 Optimizely 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.
