Senior AI Solution Architect — Remote, Growth & Impact

Version 1; Manchester; Remote; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Profit sharing

Career progression

Flexible/remote

Private healthcare

Life assurance

Wellbeing programs

Education support

Job summary

Version 1 seeks an experienced AI Solution Architect to lead the design, architecture, and delivery of AI-powered solutions for clients and internal projects. This role blends business needs with data science, software engineering and cloud infrastructure to create scalable, secure, production-ready AI systems.

The ideal candidate combines deep technical expertise with stakeholder management and can translate business challenges into practical AI solutions that deliver measurable value.

Qualifications

• 7+ years in software engineering, solution architecture, data engineering or AI roles.
• 3+ years designing enterprise AI/ML solutions.
• Experience leading cross-functional teams and client engagements.

Responsibilities

• Lead discovery workshops and requirements gathering with stakeholders.
• Design end-to-end AI solution architectures for Generative AI, ML and Intelligent Automation.
• Define system integration patterns across enterprise apps, APIs, databases and cloud services.
• Create architecture diagrams, solution designs and implementation roadmaps.
• Evaluate AI technologies and platforms to recommend best-fit solutions.
• Advise on AI adoption strategies and use cases.

Skills

ML & GenAI architectures

LLMs & RAG

LangChain

LlamaIndex

Semantic Kernel

CrewAI

AWS

Azure

GCP

API design

Microservices

Data architecture

Data integration

Knowledge graphs

Vector databases

Knowledge management systems

Education

Bachelor's degree in CS/Eng or related

Tools

AWS

Azure

GCP

Job description

Version 1 seeks an experienced AI Solution Architect to lead the design, architecture, and delivery of AI-powered solutions for clients and internal projects. This role blends business needs with data science, software engineering and cloud infrastructure to create scalable, secure, production-ready AI systems.

The ideal candidate combines deep technical expertise with stakeholder management and can translate business challenges into practical AI solutions that deliver measurable value.