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- Tasks: Drive AI innovation by designing and deploying AI tools across various business functions.
- Company: Join a forward-thinking tech company focused on AI solutions and digital product innovation.
- Benefits: Enjoy a full-time role with opportunities for remote work and collaboration with diverse teams.
- Why this job: Be at the forefront of AI technology, making a real impact in editorial and commercial operations.
- Qualifications: Experience in AI/ML engineering and a passion for emerging technologies are essential.
- Other info: Ideal for those eager to experiment and innovate in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking an accomplished AI Solutions Architect to drive AI innovation across diverse business functions. This role is instrumental in exploring and implementing generative AI solutions and AI agent builders to enhance editorial workflows, commercial operations, and product development. The ideal candidate will bridge the gap between emerging AI capabilities and practical applications, ensuring AI-driven solutions align with business objectives, ethical standards, and audience needs.
Key Responsibilities:
- AI Solutions Development: Design, prototype, and deploy AI-driven tools to improve efficiency and drive digital product innovation.
- Collaboration & Integration: Work closely with cross-functional teams—including editorial, product, commercial, and technology—to identify AI opportunities and seamlessly integrate solutions into existing workflows.
- Generative AI Exploration: Research and implement generative AI applications to support operational efficiency, audience engagement, and content recommendations.
- AI Agent Builders: Develop and test AI-powered automation tools that streamline repetitive tasks and enhance decision-making processes.
- Test & Learn Culture: Foster an environment of experimentation, rapid prototyping, and iterative improvement to evaluate the effectiveness of AI solutions.
- Ethical AI & Governance: Ensure all AI applications adhere to ethical guidelines and maintain organizational integrity and transparency.
- Industry & Technology Trends: Stay ahead of AI advancements and emerging technologies to continuously drive innovation.
Qualifications:
- Proven experience in AI/ML engineering, AI architecture, or data science with a strong focus on practical AI applications.
- Deep understanding of generative AI, LLMs, NLP, and machine learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
- Experience with cloud AI services (AWS, Azure, GCP) and AI model deployment.
- Proficiency in Python, APIs, and AI-driven automation tools.
- Demonstrated ability to work with cross-functional teams in dynamic environments.
- Excellent problem-solving skills and the capability to translate business needs into effective AI-powered solutions.
- Passion for experimentation, emerging technologies, and making a meaningful impact through AI innovation.
How to Apply: Interested candidates are invited to submit their resume along with a cover letter outlining their relevant experience and accomplishments in AI solutions architecture. We look forward to hearing from you!
AI Solutions Architect employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Architect
✨Tip Number 1
Familiarise yourself with the latest trends in AI and generative AI technologies. Being well-versed in current advancements 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, especially those who work in roles similar to the AI Solutions Architect. Engaging in discussions can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented AI solutions. Highlighting your hands-on experience will showcase your ability to bridge the gap between theory and practical application.
✨Tip Number 4
Stay updated on ethical AI practices and governance. Being able to articulate how you ensure ethical standards in your AI projects will set you apart as a responsible candidate.
We think you need these skills to ace AI Solutions Architect
Some tips for your application 🫡
Tailor Your Cover Letter: Craft a cover letter that specifically addresses the key responsibilities and qualifications outlined in the job description. Highlight your experience with AI solutions architecture, generative AI, and collaboration with cross-functional teams.
Showcase Relevant Experience: In your resume, emphasise your proven experience in AI/ML engineering and any specific projects where you designed or implemented AI-driven tools. Use quantifiable achievements to demonstrate your impact.
Highlight Technical Skills: Make sure to list your proficiency in relevant technologies such as Python, cloud AI services, and machine learning frameworks. This will help the hiring team quickly see your technical capabilities.
Demonstrate Passion for AI Innovation: In both your cover letter and resume, convey your enthusiasm for AI and emerging technologies. Mention any personal projects, research, or continuous learning efforts that showcase your commitment to staying ahead in the field.
How to prepare for a job interview at Oliver Bernard
✨Showcase Your AI Knowledge
Be prepared to discuss your experience with AI/ML engineering and specific projects you've worked on. Highlight your understanding of generative AI, LLMs, and NLP, as well as any relevant frameworks like TensorFlow or PyTorch.
✨Demonstrate Collaboration Skills
Since the role involves working with cross-functional teams, share examples of how you've successfully collaborated with different departments. Emphasise your ability to identify AI opportunities and integrate solutions into existing workflows.
✨Emphasise Ethical Considerations
Discuss your approach to ethical AI and governance. Be ready to explain how you ensure that AI applications align with ethical guidelines and maintain transparency within the organisation.
✨Foster a Test & Learn Mindset
Illustrate your passion for experimentation by sharing instances where you've implemented a test-and-learn culture. Talk about how you've used rapid prototyping and iterative improvement to evaluate AI solutions effectively.
