Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement cutting-edge AI architectures for a revolutionary cooking app.
- Company: Join Cookpad, a food tech innovator shaping the future of home cooking globally.
- Benefits: Enjoy fully remote work, flexible hours, and the chance to impact sustainable cooking.
- Why this job: Be part of a dynamic team pushing the boundaries of AI in the culinary world.
- Qualifications: 7+ years in tech, with 3+ years focused on AI/ML and Generative AI expertise required.
- Other info: This is a contract role for a minimum of 3 months, with immediate start available.
The predicted salary is between 54000 - 84000 £ per year.
About Cookpad: Cookpad is a food tech company dedicated to shaping the future of home cooking and food as a pillar for a sustainable future. At our Bristol headquarters, we have been developing innovative product ideas and we have a new product launch in 5 countries: Japan, Indonesia, UK, France, and Italy. Moment helps people learn to cook in an innovative way with a personal coaching service. This service is completely based in AI using multimodal (text, vision, audio).
Role Overview: We are seeking an expert-level AI Solutions Architect with expertise in Generative AI, Prompt Engineering, and Bot Development. The ideal candidate will design and implement scalable, secure, and high-performance AI architectures, leveraging AWS cloud services and modern AI/ML frameworks. We are looking for a contractor with significant experience in the required areas detailed below in order to support our plan to accelerate scaling Moment to more users. This is a fully remote, contract role, initially for a minimum of 3 months and we want to engage services as soon as possible.
As part of the interview process, we will be looking for evidence-based ownership of implementations that are relevant to Moment. Examples could include blogs, open source, creating your own coding specific chatbox, LLM applications.
- AI Solution Architecture & Design: Translate AI requirements into scalable, enterprise-grade architectures. Design and implement Generative AI solutions, including LLMs, RAG pipelines. Architect and deploy AI/ML solutions using AWS services such as SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, and S3. Ensure AI models and solutions meet security, privacy, and compliance standards. Define and implement best practices for AI model deployment, orchestration, and monitoring. Stay updated with the latest advancements in AI and related technologies and apply them to improve existing solutions.
- Generative AI & Bot Development: Design, develop, and deploy Generative AI models for text, image, and conversational applications. Oversee the development and deployment of intelligent bots, ensuring they meet functional and performance requirements. Utilize MLOps pipelines to streamline model training, evaluation, and deployment in production. Implement and optimize vector databases (e.g., Pinecone, FAISS) for efficient AI retrieval and storage. Work with agentic LLM frameworks such as Langchain and LlamaIndex to enhance AI capabilities.
- Cloud & Infrastructure Management: Leverage AWS AI/ML services (EC2, S3, Lambda, SageMaker, RDS, Redshift) for scalable deployment of AI solutions. Utilize containerization technologies (Docker, Kubernetes) and CI/CD pipelines for machine learning model deployment. Design and implement AWS-based deployment strategies, ensuring scalability, security, and performance optimization.
Required Skills & Qualifications: Extensive technical experience (we anticipate 7+ years), including 3+ years in AI/ML and Generative AI. Proven track record in designing, developing, and deploying customer-facing Generative AI solutions. Strong Python programming skills, with expertise in software design and optimization. Hands-on experience in MLOps pipelines, AWS cloud services, and DevOps practices. Proficiency in agentic and multi-agent AI systems, enabling autonomous reasoning, decision-making, and collaboration between AI agents. Experience with agentic LLM frameworks (E.g. LangChain, LlamaIndex, Crewai) for enhancing AI-driven workflows. Deep expertise in AWS services (SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3). Proficiency in containerization technologies (Docker, Kubernetes) and CI/CD pipelines. Strong understanding of scalable, secure, and high-performance AI deployment strategies.
AI Solution Architect- expert level and fully global remote employer: Griffin Fire
Contact Detail:
Griffin Fire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solution Architect- expert level and fully global remote
✨Tip Number 1
Familiarise yourself with the specific AWS services mentioned in the job description, such as SageMaker and Lambda. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your capability to design and implement scalable AI solutions.
✨Tip Number 2
Showcase your expertise in Generative AI by preparing a portfolio of relevant projects. This could include any blogs, open-source contributions, or personal projects that highlight your skills in AI architecture and bot development, which are crucial for this role.
✨Tip Number 3
Engage with the AI community through forums or social media platforms. Networking with other professionals can provide insights into the latest trends and technologies, and you might even find opportunities to collaborate on projects that align with Cookpad's mission.
✨Tip Number 4
Prepare for the interview by being ready to discuss your previous implementations in detail. Focus on how you translated AI requirements into practical solutions, as this will be key in demonstrating your ownership and expertise during the selection process.
We think you need these skills to ace AI Solution Architect- expert level and fully global remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in AI/ML and Generative AI. Focus on specific projects where you've designed and deployed customer-facing solutions, especially using AWS services.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for food tech and how your skills align with Cookpad's mission. Mention any relevant projects or experiences that demonstrate your expertise in AI architecture and bot development.
Showcase Evidence-Based Work: Prepare to present evidence of your previous implementations during the interview process. This could include links to blogs, open-source contributions, or examples of coding projects that are relevant to the role.
Highlight Continuous Learning: Emphasise your commitment to staying updated with the latest advancements in AI technologies. Mention any recent courses, certifications, or workshops you have attended that relate to Generative AI and cloud services.
How to prepare for a job interview at Griffin Fire
✨Showcase Your Expertise
Prepare to discuss your previous projects in detail, especially those involving Generative AI and AWS services. Bring along evidence of your work, such as blogs or open-source contributions, to demonstrate your hands-on experience.
✨Understand the Company’s Vision
Familiarise yourself with Cookpad's mission and their innovative approach to home cooking. Be ready to explain how your skills can contribute to their goal of shaping a sustainable future through AI solutions.
✨Demonstrate Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview. Think about how you would design scalable AI architectures or optimise existing solutions, showcasing your analytical thinking and technical prowess.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company’s future projects. This shows your genuine interest and helps you assess if the position aligns with your career goals, particularly in the context of AI advancements.
