The Director of AI Engineering oversees the development of AI services and leads a team to ensure production quality and scalability. They collaborate on technical strategies and product roadmaps, manage multi-disciplinary teams, and foster relationships across organizations.
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.
Being a Director of AI Engineering at iManage Means…
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.
iM Responsible For…
Leadership & Team Building
iM Qualified Because I Have…
iM Getting To…
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.
Learn more at: www.imanage.com
Please see our recruitment privacy statement for more information on how we handle your personal data.
#LI-SB1
#LI-Hybrid
Being a Director of AI Engineering at iManage Means…
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.
iM Responsible For…
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.
- 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.
- 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.
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. Ask us more about this!
- 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.
- 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.
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.
Learn more at: www.imanage.com
Please see our recruitment privacy statement for more information on how we handle your personal data.
#LI-SB1
#LI-Hybrid
Top Skills
AI
AWS
Azure
GCP
Llms
Ml
Mlops
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