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
38
Salary range
£56k – £138k
Hiring companies
12

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

£56k – £138k

Based on advertised midpoints across the 22 priced listings posted in the last 12 months. Base salary only.

Salary visibility
19% of listings advertise a salary.
By seniority
£k base
Senior
60
127
13 jobs
Skills & tools

What hiring managers ask for

% of 87 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Python
51%
AI
36%
AWS
30%
MLOps
29%
Azure
25%
PyTorch
25%
Generative AI
17%
HPC
16%
Machine Learning
15%
CUDA
15%
Megatron-LM
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

38 live roles

See all 38 roles
Synthesia logo

Solutions Architect

The role involves leading end-to-end customer implementations on Synthesia's AI video platform, designing scalable architectures that align with high-value business use cases. As a technical and strategic advisor, the person will build proofs of concept, develop integration frameworks, and act as a trusted liaison between customers and internal teams including Sales, Product, and Engineering. The position emphasizes driving customer success, platform adoption, and influencing product evolution in a high-growth AI environment.

Synthesia New York City, New York, United States £140,000 – £230,000 pa
Hybrid Permanent
Wayve logo

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
Synthesia logo

Solutions Architect

This role involves leading end-to-end customer implementations, designing technical architectures that align with high-value business use cases, and building proofs of concept to demonstrate platform capabilities. The Solutions Architect acts as a trusted advisor to both technical and executive stakeholders, bridging customer needs with product evolution. They will also develop scalable delivery frameworks and contribute to shaping Synthesia's platform strategy in a high-growth AI environment.

Synthesia London, United Kingdom
Hybrid Permanent
Databricks logo

Solutions Architect

Act as a technical advisor and trusted solutions expert, designing and demonstrating modern data and AI architectures on the Databricks platform. Lead customer workshops, build reference implementations, and support sales teams by translating business needs into scalable technical solutions. Drive adoption through hands-on prototyping, architecture guidance, and community engagement across the UK and Ireland.

Databricks London, United Kingdom
Hybrid Permanent

Solutions Architect

Solutions ArchitectAn exciting opportunity has arisen for an experienced Solutions Architect to join a growing technology team within a leading professional services organisation. This role will focus on designing, developing and enhancing business-critical applications, integrations and automation solutions, helping to...

DGH Recruitment Bristol, Bristol (county), United Kingdom £60,000 – £70,000 pa
Amazon logo

Solutions Architect, Betting & Gaming, UK&I

This role involves working closely with betting and gaming clients to understand their technical and business challenges, then designing cloud-based solutions using AWS technologies. The Solutions Architect leads architecture reviews, delivers technical workshops, and creates reference architectures tailored to client needs. They act as a trusted advisor, bridging technical capabilities with strategic business goals while advocating for customer needs internally at AWS.

Amazon London, United Kingdom
Permanent
Amazon logo

Solutions Architect, Telco, AWS Telco Business Unit

This role involves hands-on collaboration with major European telecom operators to build AI-driven prototypes and proof-of-concepts directly in customer environments. The focus is on accelerating cloud and AI adoption through co-development, using AI-augmented tools, infrastructure-as-code, and agentic AI systems. The position blends technical leadership, strategic advisory, and engineering execution to drive tangible business outcomes.

Amazon 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
Hiring locations

Where this role is hiring

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

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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