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- Tasks: Lead the strategy and implementation of AI systems across our product stack.
- Company: Join ApprovalMax, an award-winning B2B software company transforming approval processes globally.
- Benefits: Enjoy remote work, flexible hours, and generous vacation and sick leave policies.
- Why this job: Be part of a cutting-edge team shaping the future of AI in finance.
- Qualifications: 5+ years in AI/ML with strong skills in LLMs and Python programming.
- Other info: Opportunity to mentor and grow a team while staying at the forefront of AI advancements.
The predicted salary is between 48000 - 84000 £ per year.
ApprovalMax is award-winning B2B software used by businesses around the world to approve bills and expenses. It streamlines the approval process for decision-makers by replacing paper and email approvals with automated workflows. ApprovalMax integrates with platforms such as Xero, QuickBooks Online, and Oracle NetSuite to unlock powerful efficiencies for approvers and finance teams. The company is globally recognized and has won 'Xero App Partner of the Year' four times since 2020 in different countries.
We’re looking for an experienced and execution-driven AI Lead to own the strategy and end-to-end implementation of AI systems across our product stack. This role requires a mix of technical leadership, architectural foresight, and hands-on development experience in applied AI - especially with generative models, conversational interfaces, and intelligent system design.
Key Responsibilities:- Design and lead the development of AI-powered systems from concept to deployment
- Set up infrastructure and tooling for scalable, secure, and efficient model development and serving
- Guide selection and integration of LLMs (open-source or commercial) into product workflows
- Establish best practices for prompt engineering, model fine-tuning, and evaluation
- Coordinate across engineering, product, and design teams to ensure AI systems are reliable and user-centered
- Hire, mentor, and grow a team of AI engineers and researchers
- Stay current with developments in AI/ML and apply relevant research to product needs
- 5+ years of experience building and deploying AI/ML systems in production
- Strong background in LLMs, NLP, and conversational AI (e.g., GPT, Claude, Mistral, LLaMA, etc.)
- Expertise with frameworks like LangChain, Hugging Face, OpenAI, RAG pipelines, and vector databases (e.g., Weaviate, Pinecone, Chroma)
- Solid knowledge of AI system architecture, including model serving, monitoring, and optimization
- Strong programming skills in Python, with experience building APIs and integrating backend systems
- Cloud-native development experience (e.g., AWS/GCP/Azure), infrastructure-as-code, and containerization (Docker, Kubernetes)
- Experience leading teams or projects in a fast-paced product environment
- Understanding of user-centric design for AI interfaces and intelligent automation
- Regular performance-based compensation reviews
- 100% paid 20 business vacation days
- 100% paid 10 sick leave days
- Remote work, flexible hours
- Health & Wellness program - a bonus payment, which will cover 50% up to a total of 500 Euro annually of the amount spent on the following activities: medical services (except regular health insurance), fitness, sports activities (excluding sports equipment)
- Reimbursement of co-working space
- Reimbursement of professional development courses
- Parental leave support
AI Lead – Strategy & Implementation employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Lead – Strategy & Implementation
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially in generative models and conversational interfaces. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the AI space, particularly those who have experience with LLMs and NLP. Engaging in discussions or attending relevant meetups can provide insights and potentially lead to referrals.
✨Tip Number 3
Showcase your hands-on experience by working on personal projects or contributing to open-source initiatives related to AI systems. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your leadership experience in AI projects. Be ready to share examples of how you've mentored teams or driven successful implementations, as this role requires strong technical leadership.
We think you need these skills to ace AI Lead – Strategy & Implementation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML systems, particularly focusing on your work with LLMs and conversational AI. Use specific examples that demonstrate your technical leadership and hands-on development experience.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with ApprovalMax's mission. Mention your experience in building scalable AI systems and your ability to coordinate across teams, as these are key aspects of the role.
Showcase Relevant Projects: Include a section in your application that details specific projects you've worked on that relate to the job description. Highlight your contributions to AI system architecture, model fine-tuning, and any successful implementations you've led.
Demonstrate Continuous Learning: Mention any recent courses, certifications, or conferences you've attended related to AI/ML. This shows your commitment to staying current with developments in the field, which is crucial for the role at ApprovalMax.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI/ML systems, particularly in relation to LLMs and conversational AI. Highlight specific projects where you've implemented these technologies, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Leadership Skills
As an AI Lead, you'll need to show that you can guide a team effectively. Share examples of how you've mentored others or led projects in fast-paced environments. Emphasise your ability to coordinate across different teams, such as engineering and product design.
✨Understand User-Centric Design
Familiarise yourself with user-centric design principles, especially in the context of AI interfaces. Be ready to discuss how you've applied these principles in past projects to ensure that AI systems are reliable and meet user needs.
✨Stay Current with AI Trends
Research the latest developments in AI and ML, particularly those relevant to the role. Be prepared to discuss recent advancements and how they could be applied to enhance ApprovalMax's product offerings. This shows your passion for the field and your commitment to continuous learning.
