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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
69
Salary range
£55k – £136k
Hiring companies
11
View 69 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 – £136k

Based on advertised midpoints across the 28 UK listings priced in pounds in the last 12 months. Base salary only.

Salary visibility
28% of listings advertise a salary.
By seniority
£k base
Senior
60
119
13 jobs
Skills & tools

What hiring managers ask for

% of 79 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Python
52%
AI
33%
PyTorch
27%
AWS
25%
MLOps
24%
Azure
23%
HPC
18%
CUDA
16%
Megatron-LM
16%
Generative AI
15%
Machine Learning
15%
SQL
14%
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

69 live roles

See all 69 roles →

Solutions Architect

Design and deliver scalable, secure digital solutions within enterprise environments, translating business requirements into technical architectures. Lead cross-functional teams across cloud, AI, and digital transformation initiatives while ensuring governance and best practices. Mentor architecture colleagues and communicate complex concepts to technical and non-technical stakeholders.

Hays Technology London, United Kingdom £690 pd
W

Solutions Architect

Act as a technical bridge between Wayve and automotive OEMs/Tier 1 suppliers, defining integration architecture for autonomous driving systems. Translate customer requirements into technical specifications, clarify interface boundaries, and ensure safe, scalable integration of AI-driven software into vehicle platforms. Work across software, safety, and validation teams in a fast-paced environment focused on mapless, AI-powered automation.

Wayve London, United Kingdom
Hybrid Permanent
NVIDIA logo

Solutions Architect - NVIDIA AI Cloud Partners and Datacentre Infrastructure

This role involves designing and deploying large-scale AI and HPC GPU infrastructure in collaboration with NVIDIA Cloud Partners, with a strong focus on datacentre power, cooling, and MEP integration. The Solutions Architect will guide customers through technical challenges, develop proofs of concept, and ensure efficient, scalable deployment of NVIDIA's hardware and software solutions. Key responsibilities include advising on datacentre best practices, troubleshooting infrastructure bottlenecks, and influencing future product development based on real-world deployment insights.

NVIDIA Bristol, United Kingdom
Hybrid Permanent
Databricks logo

Solutions Architect (Media, Entertainment and Agencies)

Design and implement scalable data and AI solutions on the Databricks platform for media, entertainment, and agency clients. Lead technical engagements from discovery through production, advising senior stakeholders and orchestrating cross-functional teams. Focus on real-time analytics, ML/AI, or data governance with hands-on coding and architecture design.

Databricks London, United Kingdom
Databricks logo

Solutions Architect (Presales, Data & AI, Digital Native Business)

This role involves leading technical strategy for customers adopting Databricks' Data + AI Platform, with a focus on data engineering, machine learning, and real-time analytics. The Solutions Architect will design scalable, production-grade solutions, lead architecture discussions with senior technical stakeholders, and act as a trusted advisor through the full customer journey. A key aspect is developing deep expertise in a specific domain such as AI/ML, streaming, or data governance to support both customer success and internal technical leadership.

Databricks London, United Kingdom
NVIDIA logo

Solutions Architect, CSP GTM

Design and implement GPU-accelerated solutions for hyperscaler environments, with a primary focus on Google Cloud Platform. Develop proof-of-concepts and optimize GenAI, machine learning, and data science workloads across training and inference pipelines. Collaborate with engineering, product, and sales teams to integrate NVIDIA technology into enterprise computing architectures and support developer adoption through technical engagement and performance optimization.

NVIDIA Reading, United Kingdom

AI Solutions Architect

Design and deliver enterprise-scale AI solutions from concept to deployment in a regulated financial environment. Translate business needs into secure, governed architectures using Microsoft's AI ecosystem. Collaborate across technology, data, security, and business teams to drive AI innovation and compliance.

Huxley Associates London, United Kingdom £110,000 – £135,000 pa

Strategic Solutions Architect (Principal)

Design and govern the end-to-end technical architecture for dunnhumby’s cross-retailer commerce media platform, DNA, integrating data, identity, and advertising systems across retailers, publishers, and Kevel. Lead solutioning for partner onboarding, define scalable integration patterns, and bridge product and engineering with commercial stakeholders. Focus on clean rooms, privacy-preserving data collaboration, and real-world delivery of customer-facing technical designs.

dunnhumby London, United Kingdom
Hybrid Permanent
See all 69 roles →
Hiring locations

Where this role is hiring

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

London

Location
15 open

Reading

Location
3 open

Bristol

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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