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AI Solutions Architect Jobs

Design and implement AI-driven solutions that solve complex business problems. A role that bridges the gap between technical expertise and strategic vision.

Open roles
26
Hiring companies
2
View 26 live roles → Get an alert

AI Solutions Architects are the bridge between business needs and technical capabilities. They design, implement, and oversee AI-driven solutions that address complex challenges and drive innovation. These professionals work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to ensure that AI solutions are aligned with organisational goals and deliver tangible value.

What the role does

Inside the role of an AI Solutions Architect

A typical week is a mix of strategic planning, technical design, and stakeholder communication.

  1. 01
    Collaborate with cross-functional teams to define project requirements
  2. 02
    Design and optimise AI architectures and models
  3. 03
    Conduct code reviews and ensure best practices
  4. 04
    Present findings and recommendations to stakeholders
  5. 05
    Monitor and improve system performance
  6. 06
    Stay updated with the latest AI research and trends
Skills & tools

What hiring managers ask for

% of 26 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Python
62%
AI
46%
AWS
42%
LLMs
38%
Azure
38%
Deep Learning
35%
Omniverse
31%
PyTorch
31%
MLOps
27%
Robotics
27%
Cosmos
27%
CUDA
27%
Career ladder

From Junior to Principal

A typical UK progression for ai solutions architects. Years are guidance — strong people move faster, and many senior folks sidestep into research, product or management.

  1. Level 1

    Junior AI Solutions Architect

    0–2 yrs

    Assist in the design and implementation of AI solutions, working under the guidance of more experienced architects.

  2. Level 2

    AI Solutions Architect

    3–5 yrs

    Lead the design and implementation of AI solutions, ensuring they meet business requirements and technical standards.

  3. Level 3

    Senior AI Solutions Architect

    6–8 yrs

    Oversee multiple AI projects, providing strategic direction and ensuring alignment with organisational goals.

  4. Level 4

    Principal AI Solutions Architect

    9+ yrs

    Drive the overall AI strategy, influence organisational direction, and mentor junior architects.

Pathway

How to become a AI Solutions Architect

There's no single route, but most people follow some version of these steps.

  1. 1

    Gain foundational skills

    Start with a strong foundation in computer science and data science, focusing on AI and machine learning.

  2. 2

    Build practical experience

    Work on real-world AI projects, either through internships, personal projects, or entry-level roles.

  3. 3

    Specialise in AI architecture

    Deepen your expertise in AI architecture, learning to design and implement complex AI systems.

  4. 4

    Lead AI projects

    Take on leadership roles, managing the design and implementation of AI solutions for significant projects.

  5. 5

    Influence organisational strategy

    Shape the overall AI strategy of your organisation, guiding the direction of AI initiatives and mentoring others.

Live jobs

26 live roles

See all 26 roles →
NVIDIA logo

Solutions Architect - AI for Drug Discovery

As a Solutions Architect at NVIDIA, you will collaborate with pharmaceutical companies and research organizations to accelerate AI-powered drug discovery. Your role involves supporting business development, guiding customers in implementing AI solutions, and driving innovation through proof-of-concept demonstrations and technical training.

NVIDIA Cambridge, United Kingdom
Hybrid Permanent
NVIDIA logo

Solutions Architect - AI for Drug Discovery

As a Solutions Architect, you will collaborate with pharmaceutical companies and research organizations to accelerate AI-powered drug discovery using NVIDIA’s computing platform. Your role involves supporting business development, working directly with customers, and building proof-of-concept demonstrations to drive innovation in healthcare.

NVIDIA United Kingdom
Remote Permanent

AI Associate Director - AI Solutions & Architecture

This role involves leading technical discovery sessions with clients, designing and architecting AI solutions, and supporting pre-sales and delivery activities. You will work closely with partners, delivery teams, and clients to translate business challenges into practical AI solutions, focusing on areas like generative AI, LLMs, and agentic workflows.

Method Resourcing London, United Kingdom £100,000 – £130,000 pa
On-site Permanent

AI Solution Architect - FS Consulting - all levels/banking

This role involves designing and implementing scalable AI architectures for financial services, focusing on moving beyond proof-of-concept to production-grade deployments. Responsibilities include building AI/ML platforms, working with LLMs, RAG, and semantic search, and collaborating with cross-functional teams to ensure secure and efficient AI deployment.

Datatech Manchester, United Kingdom
Hybrid Permanent

AI Solution Architect - Financial Service Consulting

This role involves designing and implementing scalable AI architectures for financial services, focusing on secure, production-grade deployment of AI/ML platforms. You will work with LLMs, RAG, embeddings, and semantic search, collaborating with cross-functional teams to support AI deployment and governance.

Datatech London, United Kingdom
Hybrid Permanent

AI Solution Architect

As an AI Solution Architect, you will design and deliver AI solutions for government, financial services, and private sector clients. Your role involves creating production-grade systems that integrate AI services, focusing on scalable and secure architectures while ensuring compliance and responsible AI practices.

Version 1 Newcastle upon Tyne, United Kingdom
On-site Permanent
NVIDIA logo

Senior Solution Architect - Physical AI, Medical and Surgical Robotics

This role involves collaborating with robotics companies and surgical robotics teams to integrate NVIDIA's AI and accelerated computing technologies. Responsibilities include designing hardware and software solutions, building proof-of-concept demos, and creating technical content to support customers and partners in the healthcare and robotics sectors.

NVIDIA
Remote Permanent
NVIDIA logo

Senior Solution Architect - Physical AI, Medical and Surgical Robotics

In this role, you will collaborate with robotics companies, surgical robotics teams, and academic leaders to integrate NVIDIA's AI and accelerated computing technologies into next-generation medical and surgical robotics systems. You will develop proof-of-concept demonstrations, build strategic relationships, and help customers optimize AI and robotics workloads using NVIDIA platforms like Omniverse and Isaac Sim.

NVIDIA
Hybrid Permanent
See all 26 roles →
Hiring locations

Where this role is hiring

The locations with the most live listings for this role today.

London

Location
2 open

Manchester

Location
2 open

Reading

Location
2 open

Edinburgh

Location
1 open

Cambridge

Location
1 open
FAQs

Common questions

  • A degree in computer science, data science, or a related field is typically required, along with relevant experience in AI and machine learning.

  • Key skills include strong technical expertise in AI and machine learning, excellent communication, project management, and the ability to translate business needs into technical solutions.

  • Career progression typically starts with junior roles, moving to lead architect positions, and eventually influencing organisational strategy as a principal architect.

  • Salary ranges can vary widely based on experience and location. For more detailed information, refer to the salary section on this page.

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