AWS AI Solution Architect ( applications and solution development)

Kryptos Technologies UK Limited; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Kryptos Technologies UK Limited is seeking an AWS AI Solutions Architect to design end-to-end AWS-based AI solutions in the UK. You will lead PoCs, demos, and architecture decisions across data platforms, cloud-native apps, and GenAI initiatives.

The role emphasizes delivering scalable, secure architectures and guiding engineering teams through deployment at scale. You will engage in customer workshops to translate business needs into technical roadmaps.

Qualifications

• Proven track record delivering AWS-based AI solutions.
• Experience building scalable full-stack architectures.
• Strong collaboration and workshop facilitation skills.

Responsibilities

• Design end-to-end AWS solutions covering AI/ML/GenAI, cloud-native apps, data platforms and modernization.
• Lead PoC and demo creation including GenAI, Copilot-style and agentic AI demonstrations.
• Define scalable, secure, high-performance architectures aligned with AWS best practices.
• Build PoCs, MVPs, and customer demonstrations.
• Develop GenAI applications using Amazon Bedrock and AWS AI services.
• Design and implement production-grade AI solutions on AWS.
• Lead customer workshops and architecture discussions.
• Guide engineering teams through deployment and scale-up.

Skills

AWS

React

Java SpringBoot

GenAI

Tools

AWS

React

Spring Boot

GenAI (Bedrock/Agentcore)

Job description

Job Description: AWS AI Solutions Architect

Base Location: UK

Solution Architecture & AI Innovation

• Design end-to-end AWS solutions covering AI/ML/GenAI, cloud-native applications, data platforms, and modernization.
• Lead PoC and demo creation including GenAI, Copilot-style, and agentic AI demonstrations.
• Define scalable, secure, high-performance architectures aligned with AWS best practices.
• Build PoCs, MVPs, and customer demonstrations
• Develop GenAI applications using Amazon Bedrock and AWS AI services
• Design and implement production-grade AI solutions on AWS
• Lead customer workshops and architecture discussions
• Guide engineering teams through deployment and scale-up

Requirements

Core skillset is Full Stack architect with React + Java SpringBoot + AWS + GENAI (AWS Bedrock, Strands SDK and Agentcore).