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For Companies At a Glance
- Tasks: Design and deploy AI solutions that transform commercial processes and drive revenue growth.
- Company: Join a leading LegalTech scale-up with a collaborative and inclusive culture.
- Benefits: Competitive salary, 25 days holiday, early finish Fridays, and personal development budget.
- Other info: Opportunities for career progression and a supportive team atmosphere.
- Why this job: Be at the forefront of AI innovation and make a real impact in a dynamic environment.
- Qualifications: 4+ years in AI/ML Engineering or Commercial Analytics with strong communication skills.
The predicted salary is between 70000 - 90000 £ per year.
Key Responsibilities
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.
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
Requirements
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
Benefits
- 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
Power in diversity
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! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, models, or any relevant work. This gives you a chance to demonstrate your hands-on experience and technical prowess beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI architecture and commercial analytics. Use mock interviews to refine your answers and get comfortable discussing your technical expertise and how it translates to business value.
✨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 about their job search!
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 to highlight your experience with AI engineering and commercial analytics. We want to see how your skills align with the role of AI Architect, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills: When detailing your experience, focus on your hands-on work with LLMs, ML models, and data infrastructure. We love seeing practical examples of how you've built AI solutions that drive business results, so be specific about your contributions.
Communicate Clearly: Remember, you’ll need to explain complex technical concepts to non-technical stakeholders. Use clear language in your application to demonstrate your ability to bridge that gap. We appreciate candidates who can make tech talk accessible!
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 team at StudySmarter!
How to prepare for a job interview at Legatics
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts, especially around LLMs and intelligent automation. Be ready to discuss how you've applied these technologies in real-world scenarios, as this role is all about building practical solutions.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex business problems using AI. Think about specific projects where you designed and deployed models that had a measurable impact on revenue or efficiency. This will demonstrate your ability to translate technical skills into business value.
✨Communicate Clearly
Since you'll be working with non-technical stakeholders, practice explaining complex concepts in simple terms. Prepare to discuss how you've successfully communicated technical ideas to C-suite executives or other non-technical audiences in the past.
✨Be Ready to Collaborate
This role requires strong cross-functional relationships, so think about times when you've worked closely with sales, marketing, or customer success teams. Be prepared to share how you’ve influenced decisions and driven collaboration across departments.