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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
54
Salary range
£55k – £131k
Hiring companies
6
View 54 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
Salary on the board

£55k – £131k

Based on advertised midpoints across the 29 UK listings priced in pounds in the last 12 months. Base salary only.

Salary visibility
31% of listings advertise a salary — up from 0% the year before.
By seniority
£k base
Senior
60
119
13 jobs
Skills & tools

What hiring managers ask for

% of 75 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Python
49%
AI
32%
AWS
27%
Azure
24%
PyTorch
23%
MLOps
20%
HPC
19%
CUDA
17%
Megatron-LM
17%
Machine Learning
16%
C++
15%
SQL
15%
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

54 live roles

See all 54 roles →
NVIDIA logo

Senior Solutions Architect – Diffusion AI Models

This role involves providing deep technical guidance to AI-native companies in EMEA on optimizing and deploying diffusion-based computer vision models using NVIDIA's accelerated computing platform. The Senior Solutions Architect will work hands-on with customers to improve performance and scalability across the full visual content generation lifecycle, from training to inference, while also translating real-world feedback into product improvements. The position requires expertise in diffusion models, video generation pipelines, and multi-GPU optimization, with a strong focus on practical deployment challenges.

NVIDIA PLN 292,500 – PLN 507,000 pa
Remote Permanent
NVIDIA logo

Senior Solutions Architect – Large Scale AI Inference

This role involves guiding EMEA-based AI companies and enterprises in deploying and optimizing large-scale AI inference workloads on multi-node GPU clusters. The Senior Solutions Architect will design efficient inference pipelines for dense and sparse Mixture-of-Experts (MoE) models, optimize performance across quantization, speculative decoding, and memory management, and collaborate with NVIDIA product teams to drive technical innovation. The position also includes leading technical workshops and shaping reference architectures to advance scalable AI inference in high-performance computing environments.

NVIDIA PLN 292,500 – PLN 507,000 pa
Remote Permanent
CrowdStrike logo

GSI Solution Architect - Spanish Speaking (Madrid

This role involves architecting and designing security services with global system integrators and telco partners, leveraging CrowdStrike's Falcon platform. Responsibilities include driving platform adoption, developing technical plans, and building relationships with partner teams across various security domains.

CrowdStrike
Remote
NVIDIA logo

Senior Solutions Architect, Higher Education and Research - Open Models and LLM

Act as a trusted technical advisor to academic and research institutions, driving the adoption of NVIDIA's AI and accelerated computing technologies. Collaborate on large-scale research projects involving LLMs and HPC, integrate NVIDIA software stacks into scientific workflows, and translate research needs into prototypical solutions. Deliver training, mentor power users, and provide feedback to engineering teams to shape future technology.

NVIDIA
NVIDIA logo

Senior Solutions Architect, Higher Education and Research - Open Models and LLM

Act as a trusted technical advisor to academic and research institutions, driving adoption of NVIDIA's AI and accelerated computing technologies. Collaborate on large-scale research projects involving LLMs and HPC, develop prototypical solutions, deliver technical training, and bridge gaps between researcher needs and NVIDIA's platform capabilities. Engage with cutting-edge AI workloads across training, fine-tuning, and inference, while providing direct feedback to engineering teams.

NVIDIA
NVIDIA logo

Senior Solutions Architect, Consulting Partners

This role involves enabling global systems integrators and AI consulting partners to adopt NVIDIA's AI platforms, including Agent Toolkit, Nemotron, and NIM. The Senior Solutions Architect will design and implement advanced AI agent workflows, support the development of RAG pipelines, and collaborate with technical teams across partners and NVIDIA to deliver full-stack AI solutions. A key focus is evangelizing accelerated computing and Agentic AI through technical engagement, demonstrations, and strategic alignment with enterprise use cases.

NVIDIA United Kingdom
NVIDIA logo

Senior Solutions Architect, Consulting Partners

This role involves enabling global systems integrators and AI consulting partners to adopt NVIDIA's AI technologies, including Agent Toolkit, Nemotron, and NIM. The Senior Solutions Architect will design and demonstrate complex AI agent workflows, support partners in building scalable generative AI solutions, and act as a technical liaison between NVIDIA, partners, and end customers. Key responsibilities include developing proofs of concept, evangelizing accelerated computing, and translating business needs into technical strategies across enterprise and industry-specific use cases.

NVIDIA
NVIDIA logo

Senior Solutions Architect, Consulting Partners

This role involves enabling global systems integrators and AI consulting partners to adopt NVIDIA's AI platforms, including Agent Toolkit, Nemotron, and NIM. The Senior Solutions Architect will design and demonstrate complex AI agent workflows, support partners in building scalable Agentic AI solutions, and act as a technical liaison between NVIDIA, partners, and end customers. Key responsibilities include developing proofs of concept, evangelizing accelerated computing, and translating business challenges into technical AI solutions across enterprise environments.

NVIDIA
See all 54 roles →
Hiring locations

Where this role is hiring

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

London

Location
11 open

Reading

Location
3 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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