AWS AI Solution Architect ( Application & Solutions Development)

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

Job summary

Kryptos Technologies limited is seeking an AWS AI Solutions Architect in London to design end-to-end AWS AI/ML solutions, lead PoCs, and deliver production-grade GenAI applications. The role involves travel across Europe to engage with customers and run architecture workshops.

You will work on cloud-native architectures, data platforms, and modernization efforts, leveraging AWS Bedrock and GenAI services to demonstrate scalable, secure solutions for enterprise clients.

Qualifications

• Core skillset: full stack architecture with React, Java SpringBoot and AWS GENAI.
• GenAI tooling includes AWS Bedrock, Strands SDK and Agentcore.

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

Full Stack Architect

React

Java SpringBoot

AWS

GenAI

Tools

AWS Bedrock

Strands SDK

Agentcore

Job description

Tasks

AWS AI Solutions Architect

Location: London,UK

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

Fulltime- Permanent

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)