AI Solution Architect- expert level and fully global remote

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.

1. 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.

2. 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.

3. 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.