AWS AI Solution Architect ( Application & Solution Development)

Kryptos Technologies limited; Greater London; On-site; Confidential; Full time

Job summary

Kryptos Technologies limited in London seeks an AWS AI Solutions Architect (Application & Solution Development) to design end-to-end cloud AI solutions. You will lead PoCs, demos and workshops, define scalable architectures using AWS Bedrock and GenAI services, and guide engineering teams through deployment and scale-up across Europe.

Travel across Europe is required for this permanent full-time role, with a focus on modern AI-enabled AWS solutions and customer engagements.

Qualifications

• Full stack architect with React, Java SpringBoot, AWS and GenAI.
• Experience with AWS Bedrock and GenAI services.
• Ability to design end-to-end AWS/cloud AI solutions.

Responsibilities

• Design end-to-end AWS solutions covering AI/ML/GenAI, cloud-native apps and data platforms.
• Lead PoCs and demos including GenAI and agentic AI demonstrations.
• Define scalable, secure architectures aligned with AWS best practices.
• Build PoCs, MVPs and customer demos.
• Develop GenAI applications using AWS 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

AWS Bedrock

Strands SDK

Agentcore

Tools

AWS services

Amazon Bedrock

GenAI tools

Job description

Tasks

AWS AI Solutions Architect ( Application & Solution Development)

Location: London,UK (Travel across Europe (Germany, Denmark, Netherlands, France, Spain, Switzerland)

Full time- Permanent

Responsibilities:

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).