Director of AI Engineering
Atexo, Chicago, IL, United States
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 how we serve models, build enrichment pipelines, and compose AI capabilities 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 that turns AI‑powered features and capabilities into reliable, performant systems our customers trust. In regulated industries such as legal, AI must come to the data, not the other way around.
Responsibilities
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.
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.
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.
Translating business priorities into multi‑quarter technical roadmaps with clear milestones and ROI targets.
Collaborating with Product, Data, and GTM teams to prioritize high‑impact AI initiatives, and communicating progress, risks, and value to executive leadership when needed.
Contributing to competitive strategy by understanding the landscape and pushing back on roadmap priorities with data.
Qualifications
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.
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: 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, making 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: articulate why we are building what we are building and make a compelling case to senior stakeholders.
Benefits
Market‑competitive salary applied through a consistent process, equitable for all employees, and regularly reviewed based on industry data.
Annual performance‑based bonus.
Comprehensive health/vision/dental/life insurance.
401(k) Retirement Savings Plan with a company match up to 4%.
Enhanced leave for expecting parents: 20 weeks 100% paid for primary leave, and 10 weeks 100% paid for secondary leave.
Flexible time‑off policy and multiple company wellness days each year.
Access to RethinkCare, a global behavioral health platform.
Compensation The overall US annual base salary range for this position is $200,000–$290,000 per year. Individual compensation depends on qualifications, experience, and location and may include bonuses, commissions, or other incentives.
Equal Employment Opportunity We provide equal employment opportunities to all employees and applicants for employment and prohibit 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, leave of absence, compensation and training.
Recruitment & Communications This job will be communicated exclusively via email using the @imanage.com domain. If you have received any recruitment activity via text or other channels, please contact email protected for clarification.
#J-18808-Ljbffr
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 how we serve models, build enrichment pipelines, and compose AI capabilities 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 that turns AI‑powered features and capabilities into reliable, performant systems our customers trust. In regulated industries such as legal, AI must come to the data, not the other way around.
Responsibilities
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.
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.
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.
Translating business priorities into multi‑quarter technical roadmaps with clear milestones and ROI targets.
Collaborating with Product, Data, and GTM teams to prioritize high‑impact AI initiatives, and communicating progress, risks, and value to executive leadership when needed.
Contributing to competitive strategy by understanding the landscape and pushing back on roadmap priorities with data.
Qualifications
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.
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: 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, making 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: articulate why we are building what we are building and make a compelling case to senior stakeholders.
Benefits
Market‑competitive salary applied through a consistent process, equitable for all employees, and regularly reviewed based on industry data.
Annual performance‑based bonus.
Comprehensive health/vision/dental/life insurance.
401(k) Retirement Savings Plan with a company match up to 4%.
Enhanced leave for expecting parents: 20 weeks 100% paid for primary leave, and 10 weeks 100% paid for secondary leave.
Flexible time‑off policy and multiple company wellness days each year.
Access to RethinkCare, a global behavioral health platform.
Compensation The overall US annual base salary range for this position is $200,000–$290,000 per year. Individual compensation depends on qualifications, experience, and location and may include bonuses, commissions, or other incentives.
Equal Employment Opportunity We provide equal employment opportunities to all employees and applicants for employment and prohibit 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, leave of absence, compensation and training.
Recruitment & Communications This job will be communicated exclusively via email using the @imanage.com domain. If you have received any recruitment activity via text or other channels, please contact email protected for clarification.
#J-18808-Ljbffr