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- Tasks: Lead the development of an innovative AI recruitment platform and ensure its success.
- Company: Join Reed, a forward-thinking company revolutionising recruitment with AI technology.
- Benefits: Enjoy hybrid working, 25 days leave, wellness support, and discounts at popular retailers.
- Why this job: Shape the future of AI in recruitment while influencing high-level business decisions.
- Qualifications: Expertise in AI/ML, technical leadership, and backend skills like Python and Node.js required.
- Other info: Work in a vibrant Central London office surrounded by bars, restaurants, and theatres.
The predicted salary is between 43200 - 72000 £ per year.
Build the Future of AI Recruitment with us! Do you have a passion for AI, technical leadership, and building scalable, high-impact products? We're looking for a Lead AI & Tech Architect to ensure the success of our cutting-edge AI recruitment platform.
This is a unique opportunity to take ownership of a high-profile AI-powered recruitment solution, ensuring its scalability, security, and long-term innovation. You'll play a pivotal role in shaping the technical future of the product, managing key stakeholders, and driving excellence in AI-powered hiring technology.
Key Responsibilities- Conduct technical due diligence - auditing code quality, security, and scalability.
- Oversee AI architecture & infrastructure, ensuring high performance and compliance.
- Lead the transition from external teams to a hybrid development function.
- Ensure GDPR and security compliance while optimizing system reliability.
- Drive AI innovation, leveraging the latest advancements in machine learning & NLP.
- Define a long-term technology strategy, aligning AI capabilities with business goals.
- Risk Assessment & Technical Debt Analysis to identify any areas needing attention.
- Support & Maintenance management.
- AI/ML Expertise: Strong understanding of LLMs, NLP, and AI-driven recommendations.
- Technical Leadership: Experience in AI product scalability, DevOps, and cloud architecture.
- Backend & Data Skills: Proficiency in Python, Node.js, PostgreSQL, MongoDB, API security.
- AI Model Deployment: MLOps, scaling, data engineering, and AI ethics awareness.
- Strategic Mindset: Ability to align technology with business objectives and cost efficiency.
- Security & Compliance Knowledge: GDPR, API authentication, and observability best practices.
- Big data processing: Understanding data lakes, warehouses, and tools like Spark, Kafka, and Airflow.
- ETL Pipelines: Ability to evaluate data ingestion, transformation, and cleaning processes.
- DevOps & CI/CD: Hands-on knowledge of Jenkins, GitHub Actions, Terraform, and CloudFormation.
- Lead the AI vision for a next-generation recruitment product.
- Work with cutting-edge AI/ML technologies.
- Influence business decisions at the highest level.
- Join a dynamic, innovative, and growth-focused environment.
- Hybrid working as standard.
- 25 days annual leave plus bank holidays.
- Flexible holiday scheme.
- Paid time off to move home.
- Contributory pension scheme.
- Enhanced family leave benefits.
- Insurance benefits including life assurance.
- Love Mondays events.
- Discount schemes including gyms and popular retailers.
- Range of wellbeing and mental health support avenues.
- Central London office in a fantastic location, with countless bars, restaurants and theatres right on the doorstep.
These are just some great benefits we offer everyone working at Reed!
Contact Detail:
Reed.co.uk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of AI & Technology
✨Tip Number 1
Network with professionals in the AI and tech industry. Attend relevant meetups, conferences, or webinars to connect with potential colleagues and leaders in the field. This can help you gain insights into the latest trends and possibly get a referral.
✨Tip Number 2
Showcase your expertise by contributing to open-source projects or writing articles on platforms like Medium or LinkedIn. This not only demonstrates your knowledge but also helps you build a personal brand that aligns with the role of Head of AI & Technology.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of AI/ML concepts, particularly LLMs and NLP. Be ready to discuss your experience with backend technologies and how you've implemented scalable solutions in previous roles.
✨Tip Number 4
Research StudySmarter's current AI initiatives and think about how you can contribute to their vision. Tailor your discussions during interviews to reflect your understanding of their goals and how your skills can help achieve them.
We think you need these skills to ace Head of AI & Technology
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI, technical leadership, and product scalability. Use specific examples that demonstrate your expertise in LLMs, NLP, and AI-driven recommendations.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it aligns with the company's vision. Discuss your strategic mindset and how you can contribute to the long-term technology strategy of the recruitment platform.
Showcase Relevant Projects: Include details about past projects where you led AI initiatives or managed technical teams. Highlight your experience with MLOps, cloud architecture, and compliance with GDPR to demonstrate your fit for the role.
Prepare for Technical Questions: Anticipate technical questions related to AI architecture, data processing, and security compliance. Be ready to discuss your approach to risk assessment and technical debt analysis during interviews.
How to prepare for a job interview at Reed.co.uk
✨Showcase Your AI Expertise
Make sure to highlight your knowledge of AI, particularly in areas like LLMs and NLP. Be prepared to discuss specific projects where you've successfully implemented AI solutions, as this will demonstrate your hands-on experience and understanding of the technology.
✨Demonstrate Technical Leadership
Since the role requires strong technical leadership, share examples of how you've led teams or projects in the past. Discuss your approach to managing stakeholders and driving innovation, as this will show your capability to lead in a high-impact environment.
✨Align Technology with Business Goals
Prepare to discuss how you can align AI capabilities with business objectives. Think about previous experiences where you successfully integrated technology strategies with business needs, as this will illustrate your strategic mindset.
✨Understand Compliance and Security
Given the importance of GDPR and security compliance in this role, be ready to talk about your experience with these regulations. Highlight any relevant projects where you ensured compliance while optimising system reliability, showcasing your attention to detail and risk management skills.