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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
112
Salary range
£55k – £126k
Hiring companies
14
View 112 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 – £126k

Based on advertised midpoints across the 15 priced listings posted in the last 12 months. Base salary only.

Salary visibility
13% of listings advertise a salary.
By seniority
£k base
Senior
60
140
10 jobs
Skills & tools

What hiring managers ask for

% of 101 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Python
56%
AI
32%
PyTorch
31%
AWS
21%
MLOps
19%
CUDA
19%
Generative AI
18%
Azure
18%
Machine Learning
17%
Kubernetes
17%
HPC
14%
Megatron-LM
13%
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

112 live roles

See all 112 roles →
Synthesia logo

Solutions Architect

This role involves leading end-to-end customer implementations for Synthesia's AI video platform, designing technical architectures that align with high-value business use cases. The Solutions Architect will act as a strategic advisor, building proofs of concept, integration frameworks, and driving platform maturity through close collaboration with sales, product, engineering, and customer success teams.

Synthesia London, United Kingdom
Hybrid Permanent
Synthesia logo

Solutions Architect

The Solutions Architect role at Synthesia involves leading customer implementations end-to-end, designing architectures that map Synthesia’s capabilities to high-value use cases, and acting as a trusted advisor to technical and business stakeholders. You will collaborate with Sales, Product, and Engineering to drive adoption, value, and measurable business impact.

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

Solutions Architect

This role involves defining and managing the technical architecture for integrating Wayve’s AI-driven autonomous driving software with automotive OEM vehicle platforms. The Solutions Architect will act as a bridge between internal teams and external partners, translating customer needs into clear interface specifications, ownership boundaries, and integration requirements. The position emphasizes system-level thinking, cross-functional collaboration, and ensuring safe, scalable integration across real-time embedded vehicle systems.

Wayve London, United Kingdom
Hybrid Permanent
Databricks logo

Solutions Architect

This role involves working closely with customers to design and implement modern data and AI architectures on the Databricks Data Intelligence Platform. The Solutions Architect will act as a technical advisor, leading workshops, building proof-of-concepts, and translating business needs into scalable technical solutions. They will also contribute to growing the Databricks community through knowledge sharing and best practice dissemination.

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

Solutions Architect

This role involves leading the design and implementation of complex defence technology solutions across a portfolio of innovation and experimentation programmes. The Solutions Architect will act as a trusted technical advisor to senior stakeholders in defence and government, translating operational challenges into deliverable systems leveraging AI, autonomous systems, cloud, cyber, and multi-domain integration. It combines strategic architecture, customer engagement, and technical leadership to transition emerging technologies into operational use.

Rebel Recruitment United Kingdom £85,000 – £130,000 pa
Remote Permanent Clearance Required

Solutions Architect

As a Solutions Architect, you will shape and enhance core business systems through smart integrations, automation, and emerging technologies. You will work closely with stakeholders to drive efficiency and innovation, combining technical expertise with creative problem-solving.

Proactive Appointments Bristol, United Kingdom £55,000 – £70,000 pa
Hybrid Permanent
Amazon logo

Solutions Architect, Telco, AWS Telco Business Unit

This role involves working directly with major European telecommunications operators to accelerate AI and cloud adoption through hands-on technical engagement. The engineer will build proof-of-concepts, co-develop solutions using AI-augmented tools, and design scalable, secure cloud architectures in customer sandbox environments. Emphasis is placed on delivering tangible technical outcomes through prototyping, pair-programming, and strategic advisory to drive cloud transformation and agentic AI initiatives.

Amazon London, United Kingdom
Hybrid Permanent
See all 112 roles →
Top hirers

Companies hiring ai solutions architects

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Hiring locations

Where this role is hiring

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

London

Location
17 open

Reading

Location
2 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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