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- Tasks: Design and deploy AI solutions that transform commercial processes and drive efficiency.
- Company: Join a leading LegalTech scale-up with a collaborative and innovative culture.
- Benefits: Competitive salary, 25 days holiday, early finish Fridays, and personal development budget.
- Other info: Diverse and inclusive environment with excellent career growth opportunities.
- Why this job: Make a real impact by leveraging AI to revolutionise how teams operate.
- Qualifications: 4+ years in AI/ML Engineering or Commercial Analytics with strong technical skills.
The predicted salary is between 70000 - 90000 £ per year.
The AI Architect is a strategic technical partner to the commercial leadership team, responsible for building AI-powered infrastructure that drives predictable, scalable revenue growth. You will combine advanced engineering with commercial analytics, creating intelligent systems that automate workflows, surface insights and enhance decision-making across Sales, Marketing and Customer Success.
This is a hands-on, technical role for someone who enjoys building production systems, deploying models and solving real business problems with AI. You'll be responsible for both AI engineering (LLMs, ML models, intelligent automation) and foundational commercial analytics, ensuring the business has robust data infrastructure alongside intelligent capabilities that provide genuine competitive advantage.
You will own commercial analytics and the technical architecture of our commercial data ecosystem, whilst building AI solutions that transform how teams operate. A core expectation is to champion an AI-first approach: using AI and automation not just to make existing processes more efficient, but to help the organisation re-imagine how we work.
Key Responsibilities- AI Engineering & Intelligent Automation
- Design, build and deploy production AI solutions that drive commercial efficiency and unlock new capabilities for GTM teams.
- Develop and maintain machine learning models for revenue forecasting, pipeline prediction, lead scoring, churn risk and expansion opportunity identification.
- Build intelligent automation using LLMs and AI agents to streamline commercial processes (deal analysis, customer sentiment analysis, competitive intelligence, automated reporting).
- Create AI-enhanced analytics capabilities that surface patterns, anomalies and opportunities that traditional methods would miss.
- Prototype and ship AI-enabled workflows rapidly, using tools like Claude, coding assistants and modern AI platforms.
- Evaluate and integrate emerging AI tools, establishing best practices for responsible AI deployment across commercial teams.
- Partner with Sales, Marketing and Customer Success to identify high-impact opportunities for AI-driven improvement.
- Revenue Analytics & Insight
- Deliver clean, reliable data and analysis on NRR, GRR, logo retention, expansion and churn, enabling commercial leaders to turn metrics into actionable strategy.
- Build sophisticated analytics combining traditional methods and ML approaches to surface leading indicators and inform proactive decision-making.
- Translate complex datasets into clear narratives, dashboards and recommendations for senior stakeholders and the board.
- Commercial Systems & Data Infrastructure
- Own the technical architecture of the commercial data ecosystem, ensuring clean data flow between Salesforce, marketing platforms, product analytics and data warehouses.
- Act as commercial data and systems owner: define data models, governance, definitions and quality standards.
- Drive Salesforce technical excellence where needed: build custom objects, fields, automation and integrations that reflect business logic.
- Build and maintain executive-level dashboards (e.g. in QuickSight or similar) combining traditional metrics with AI-generated insights.
- Ensure seamless integration between product telemetry, CRM data and commercial analytics systems.
- Stakeholder Management & Technical Leadership
- Operate as a trusted advisor to the COO, CCO and commercial leadership on AI capabilities and data-driven strategy.
- Work closely with leaders such as the VP Sales, VP Customer and VP Marketing to understand their questions, then design AI tools and analysis that answer them.
- Communicate complex technical concepts clearly to non-technical stakeholders; frame problems and recommend solutions with clarity.
- Build strong cross-functional relationships with Finance and Commercial teams, influencing without authority.
- Support onboarding and enablement of commercial team members on AI-powered tools, dashboards and new ways of working.
- Establish responsible AI practices, addressing bias, explainability and ethical considerations in commercial AI applications.
- Essential
- 4+ years in AI/ML Engineering, Data Science, Software Engineering or Commercial Analytics with demonstrated AI application development.
- Proven ability to work with LLMs and AI agents (OpenAI, Anthropic, open-source models) to build practical business applications.
- Familiarity with prompt engineering, RAG (retrieval-augmented generation) architectures and fine-tuning approaches.
- Confident working with APIs, databases and modern data stacks, comfortable learning new tools quickly.
- Comfortable working with product usage and adoption data.
- Ability to translate business problems into technical solutions and measure impact on commercial outcomes.
- Excellent communication skills: comfortable presenting to C-suite and translating technical work into business value.
- Pragmatic builder: bias for shipping working solutions over perfect architectures.
- Desirable
- Experience working with CRM systems and commercial datasets (Salesforce experience highly desirable).
- Experience with sales engagement and email marketing platforms (Outreach, Salesloft, HubSpot).
- Background in Revenue Operations, Commercial Analytics or SaaS growth analytics.
- Experience with BI tools (Tableau, Looker, Power BI) and AWS QuickSight.
- Understanding of causal inference methods for measuring intervention impact.
- Experience in legal tech, professional services software or complex B2B sales environments.
- Track record of building internal tools or platforms used by non-technical teams.
- What we offer you
- Competitive salary (depending on experience).
- 25 days holiday per year (plus public holidays).
- Early Finish Fridays - on the last Friday of every month, we finish at lunchtime!
- Pension with NEST.
- Personal Learning & Development budget.
- Enhanced parental leave policies so you can spend more time with your family.
- Lots of opportunities for accelerated professional development and career progression.
- Work alongside a supportive and talented team with the opportunity to grow one of the world’s leading LegalTech scale-ups.
- A warm, genuinely collaborative culture and an awesome team; and Regular socials.
We put users at the heart of our design to provide legal transaction experiences that everyone loves. In order to make that a reality, we seek to foster a diverse and inclusive working environment that can empower our people to be creative, effective and innovative, to build a brand we are proud of.
We don’t discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence. We're committed to building a diverse team, and are constantly looking for ways to improve our processes to help us do that.
AI Architect employer: Legatics
Contact Detail:
Legatics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Architect
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the AI space. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, models, or any relevant work. This is your chance to demonstrate what you can do beyond just a CV. Make sure to highlight how your work has driven results or solved real business problems.
✨Tip Number 3
Prepare for interviews by understanding the company’s needs. Research their current AI initiatives and think about how you can contribute. Tailor your responses to show how your experience aligns with their goals, especially around commercial analytics and intelligent automation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team. So, hit that apply button and let’s get the conversation started!
We think you need these skills to ace AI Architect
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Architect role. Highlight your experience with AI engineering, ML models, and commercial analytics. We want to see how your skills align with our mission to drive scalable revenue growth!
Showcase Your Projects: Include specific examples of projects where you've built AI solutions or worked with LLMs. We love seeing practical applications of your skills, so don’t hold back on sharing your successes and the impact they had on previous teams.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain complex concepts, especially if you're discussing technical details. Remember, we want to understand your thought process without getting lost in jargon!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our awesome team!
How to prepare for a job interview at Legatics
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge. Be ready to discuss your experience with LLMs, prompt engineering, and how you've applied these in real-world scenarios. The interviewers will want to see that you can translate complex technical concepts into practical solutions.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled business problems using AI. Think about specific projects where you built production systems or deployed models that had a measurable impact. This will demonstrate your ability to not just understand AI, but to use it effectively in a commercial context.
✨Communicate Clearly
Practice explaining your technical work to non-technical stakeholders. You might be asked to present complex data insights or AI capabilities to the leadership team, so being able to frame your solutions clearly and concisely is key. Use visuals if you can; they can help make your points more relatable.
✨Understand the Business Landscape
Familiarise yourself with the company's commercial goals and how AI can drive those objectives. Research their current tools and processes, and think about how you could enhance them with AI solutions. Showing that you understand their business will set you apart from other candidates.