Director of AI Engineering
Director of AI Engineering

Director of AI Engineering

Full-Time 100000 - 150000 ÂŁ / year (est.) Home office (partial)
iManage

At a Glance

  • Tasks: Lead a dynamic team to shape AI engineering and drive innovation in a collaborative environment.
  • Company: Join iManage, a leading SaaS company transforming the legal tech landscape.
  • Benefits: Enjoy flexible hours, competitive salary, wellness days, and access to LinkedIn Learning.
  • Why this job: Make a real impact by developing cutting-edge AI solutions for top legal professionals.
  • Qualifications: 8+ years in software/ML engineering with leadership experience in high-reliability environments.
  • Other info: Be part of an inclusive culture that values diverse perspectives and personal growth.

The predicted salary is between 100000 - 150000 ÂŁ per year.

We offer a flexible working policy that supports a healthy balance between personal and professional well-being. This role requires in-office presence on Tuesdays & Thursdays to collaborate, connect, and learn from peers - while also maintaining the flexibility for meaningful work-life balance.

We are looking for a Director of AI Engineering to own the production quality, cost efficiency, scalability, and feature expansion of our LLM services. This is a role where your architectural judgement directly shapes the system on how we serve models, how enrichment pipelines are built, and how our AI capabilities compose across the platform. You will partner closely with our Director of Data Curation and report to the VP of AI Engineering, leading a 15 person team responsible for turning AI powered features and capabilities into reliable, performant systems that our customers trust. In regulated industries like legal, AI must come to the data, not the other way around. iManage holds data for the worlds most sophisticated legal professionals, and this role is about producing the AI capabilities worthy of that position.

Leadership & Team Building

  • Building and leading a high-performing AI Engineering organization managing both individual contributors and engineering managers across ML, backend, and platform.
  • Scaling engineering practices (CI/CD, observability, on-call, release management) to match the team's growth, keeping velocity high as complexity increases.
  • Serving as a senior technical presence in London, fostering strong working relationships with the US team and leadership in Chicago.

Technical Strategy

  • Defining the end-to-end architecture for AI and GenAI applications, thinking across the full pipeline, integration layer, and data, not just the model.
  • Making pragmatic build/buy/partner decisions across the AI stack, with clear reasoning on the cost, quality, and performance trade-offs of each.
  • Setting engineering standards for evaluation, responsible AI, and system reliability, ensuring what ships to production handles edge cases and earns customer trust.
  • Designing how iManage AI capabilities are exposed to and composed with external systems, thinking in terms of protocols and interfaces, not just features.

Product & Roadmap

  • Translating business priorities into multi-quarter technical roadmaps with clear milestones and ROI targets.
  • Collaborating with Product, Data, and GTM teams to prioritise high-impact AI initiatives.
  • Communicating progress, risks, and value to executive leadership when needed.
  • Contributing to competitive strategy: understanding our landscape well enough to push back on roadmap priorities with data, not just opinion.

iM Qualified Because I Have

  • Bachelor’s or master’s in computer science, machine learning, data science, or a related field preferred.
  • 8+ years in software and ML/AI engineering, with 3–5+ years leading engineering teams delivering AI products to production at scale.
  • A track record in regulated or high-reliability environments (e.g. healthcare, fintech, insurance, legal tech, government) where production quality means real consequences.
  • Experience growing and managing multi-disciplinary teams through scaling phases, including managers as direct reports.
  • Proven success shipping LLM-powered products including RAG pipelines, agents, or personalization features with measurable business outcomes.
  • Strong system-level thinking: you architect services that compose well, degrade gracefully, expose clean interfaces, and partner effectively across data, product, and platform teams.
  • Fluency in the cost/quality/performance trade-offs of AI services. You have made real decisions about when to use a large, hosted model versus a fine-tuned smaller one.
  • Grounded experience in modern AI/ML infrastructure: model lifecycle, MLOps practices, evaluation frameworks, and cloud-native deployment (AWS/Azure/GCP).
  • Hands‑on engineering background: comfortable going deep technically when the situation requires it.
  • Strategic fluency: you can articulate why we are building what we are building and make a compelling case to senior stakeholders.

Don’t meet every qualification listed above? Studies show that women and people of colour are less likely to apply to jobs unless they meet all qualifications. At iManage, we are committed to building a diverse and inclusive environment, and encourage everyone to show up as their full authentic selves. We welcome those that come with a growth mindset and a hunger for learning; so, if you are excited about this role but your past experience doesn’t align perfectly with every qualification we encourage you to apply anyways!

iM Getting To

  • Join a rapidly evolving, industry-leading SaaS company on an exciting journey of growth and scalability!
  • Take on meaningful, high‑impact challenges by leveraging cutting‑edge technologies and best‑in‑class protocols to drive innovation.
  • Own my career path with our internal development framework.
  • Expand my skill set and earn certifications with unlimited access to LinkedIn Learning courses and interactive Microsoft courses & training.
  • Be part of a supportive and experienced team within a dynamic, inclusive, and encouraging culture.
  • Enjoy flexible work hours that empower me to balance personal time with professional commitments.
  • Collaborate in a modern, open‑plan workspace featuring a gaming area, free snacks and drinks, and regular social events.

iManage Is Supporting Me By

  • Creating an inclusive environment where you’re encouraged to help shape the culture by bringing your unique perspective, not just by fitting in.
  • Providing a market leading salary determined through a fair and consistent process, equitable for all our employees, and regularly reviewed against industry benchmarks.
  • Rewarding me with an annual performance-based bonus.
  • Providing enhanced parental leave (20 weeks for primary and 10 weeks for secondary caregiver at 100% pay).
  • Matching my pension contribution (up to 6%).
  • Offering BUPA private medical insurance & a Simplyhealth cash plan to assist with the everyday costs.
  • Providing Group life cover, including life insurance, income protection, and critical illness protection.
  • Encouraging me to make use of our top‑tier flexible time off policy, which includes 25 days of annual leave and the flexibility to take further additional time off as needed.
  • Having multiple company wellness days each year to prioritize mental health and well‑being.
  • Providing access to RethinkCare, a global behavioral health platform that enhances personal well‑being, strengthens professional resilience, and empowers parental success through expert‑led training and resources.

iManage is committed to providing an excellent candidate experience and will never ask you to engage in recruitment activity via text and exclusively communicates from emails using the @imanage.com domain. If you have any concerns or questions about communications you have received, please send them to [email protected] so our team members can review.

About iManage: At iManage, we are dedicated to Making Knowledge Work™. Our intelligent, cloud‑enabled, and secure platform is trusted by 4,100+ customers and 430,000 users worldwide, managing over 11 billion documents and 11 petabytes of data. We empower professionals across 65+ countries to unlock the full potential of their business content and communications. We are continuously innovating to solve the most complex professional challenges and enable better business outcomes; Our work is not always easy but it is ambitious and rewarding. So we’re looking for people who embrace challenges. People who thrive on solving problems, pushing boundaries, and collaborating with the industry’s best and brightest. That’s the iManage way. It’s how we turn the impossible into reality, empower our employees to grow, unlock their potential, and create a meaningful impact on everything we do. Whoever you are, whatever you do, however you work. Make it mean something at iManage.

iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Director of AI Engineering employer: iManage

iManage is an exceptional employer that fosters a dynamic and inclusive work culture, offering flexible working arrangements to support a healthy work-life balance. As a Director of AI Engineering, you will lead a talented team in a modern workspace located in London, with access to continuous learning opportunities and a commitment to employee well-being through comprehensive benefits, including enhanced parental leave and wellness days. Join us to tackle meaningful challenges in a rapidly evolving SaaS environment, where your contributions will directly impact the future of AI capabilities in regulated industries.
iManage

Contact Detail:

iManage Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Director of AI Engineering

✨Tip Number 1

Network like a pro! Reach out to your connections in the AI and engineering fields. Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your past projects, especially those related to AI and ML. This is your chance to demonstrate your architectural judgement and system-level thinking. Make it easy for potential employers to see what you can bring to the table.

✨Tip Number 3

Prepare for interviews by diving deep into the company’s tech stack and recent projects. Be ready to discuss how you would approach their challenges, especially around production quality and scalability. Tailor your responses to show you understand their needs and can lead a high-performing team.

✨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 proactive about their job search. So, get that application in and let’s make some magic happen together!

We think you need these skills to ace Director of AI Engineering

AI Engineering
Machine Learning
Data Science
Architectural Judgement
Production Quality Management
Cost Efficiency Analysis
Scalability Planning
Feature Expansion Strategy
Team Leadership
CI/CD Practices
Observability
Release Management
Technical Strategy Development
System Reliability Standards
Cloud-Native Deployment (AWS/Azure/GCP)

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in AI engineering and leadership. We want to see how your skills align with the role, so don’t hold back on showcasing your achievements!

Showcase Your Technical Expertise: When detailing your experience, focus on your hands-on engineering background and any relevant projects you've led. We’re keen to see your understanding of AI/ML infrastructure and how you’ve tackled challenges in regulated environments.

Communicate Your Vision: In your application, share your thoughts on the future of AI and how you envision contributing to our team. We love candidates who can articulate their strategic thinking and how they plan to drive innovation at iManage.

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 this exciting opportunity. Don’t miss out!

How to prepare for a job interview at iManage

✨Know Your AI Stuff

Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss your experience with LLMs, MLOps practices, and how you've tackled challenges in regulated environments. This shows you're not just a leader but also a hands-on expert.

✨Showcase Your Leadership Skills

Prepare examples of how you've built and led high-performing teams in the past. Highlight your experience in scaling engineering practices and managing multi-disciplinary teams. This is crucial for a Director role, so be ready to share specific stories that demonstrate your leadership style and success.

✨Understand the Business Impact

Be prepared to discuss how your technical decisions have driven business outcomes. Think about how you've translated business priorities into technical roadmaps and how you've communicated progress and risks to executive leadership. This will show that you can bridge the gap between tech and business.

✨Cultural Fit Matters

iManage values diversity and inclusion, so be yourself! Share your unique perspective and how it can contribute to the company culture. Also, think about how you can foster strong working relationships with teams across different locations, as collaboration is key in this role.

Director of AI Engineering
iManage

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