AWS AI Solution Architect ( applications and solution development)

Kryptos Technologies limited; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Kryptos Technologies limited in the United Kingdom is seeking an experienced AWS AI Solutions Architect to design end-to-end AWS AI solutions, covering GenAI and data platforms. The role involves leading PoCs, customer workshops, and guiding engineering teams through deployment across Europe.

The candidate should be a full stack architect with React, Java SpringBoot, AWS, and GenAI expertise, including Bedrock. Travel across Europe is required.

Qualifications

• Experience designing end-to-end AWS AI solutions for production use.
• Ability to lead PoCs, demos, and customer workshops.
• Strong understanding of cloud-native architectures and GenAI integration.

Responsibilities

• Design end-to-end AWS AI 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

React

Java SpringBoot

AWS

GenAI

Tools

Bedrock

Job description

Tasks

Job Description: AWS AI Solutions Architect

Base Location: 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).

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