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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
51
Salary range
£55k – £131k
Hiring companies
6
View 51 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

51 live roles

See all 51 roles →
NVIDIA logo

Senior Solutions Architect - Multimodal AI

This role involves working as a technical expert to support EMEA AI-native companies in building and optimizing multimodal AI applications for document intelligence, content analysis, and recommendations. The Senior Solutions Architect will guide customers through architectural planning, model training, and deployment using NVIDIA's full software and hardware stack, while also influencing product roadmaps based on field insights. Key responsibilities include solving complex vision and multimodal challenges, engaging with developer communities, and translating research into production-ready solutions.

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

Senior Solutions Architect - Multimodal AI

This role involves working as a technical expert to help EMEA-based AI-native companies build and optimize multimodal AI applications for document intelligence, content analysis, and recommendations. You'll guide customers through architectural design, model training across text, image, and video modalities, and production deployment using NVIDIA's full software and hardware stack. The position requires deep technical engagement, translating customer challenges into product improvements and contributing to the broader developer community through technical outreach.

NVIDIA France PLN 292,500 – PLN 507,000 pa
Databricks logo

Senior Solutions Architect (EDW Enterprise Data Warehouse Migrations)

This role focuses on leading enterprise data warehouse (EDW) migrations to the Databricks Lakehouse platform across EMEA. The Senior Solutions Architect will design technical go-to-market strategies, develop scalable migration frameworks, and act as a top-tier technical advisor for complex customer transitions. They will also mentor regional teams, influence product development through customer feedback, and establish thought leadership through public speaking and technical content.

Databricks London, United Kingdom
Databricks logo

Sr. Solutions Architect

Act as a trusted technical advisor for Databricks' largest customers, designing and promoting adoption of the Lakehouse platform to solve complex data challenges. Lead customer engagements, develop solution strategies, and deliver workshops while collaborating with cross-functional teams. Contribute to technical thought leadership and help shape customer success through innovation in data intelligence and AI.

Databricks London, United Kingdom
NVIDIA logo

Senior Solutions Architect – Large Scale AI Inference

This role involves architecting and optimizing large-scale AI inference solutions on multi-node GPU clusters, focusing on advanced techniques like Mixture-of-Experts (MoE) serving, quantization, speculative decoding, and interconnect-aware scheduling. The Senior Solutions Architect will work closely with leading AI companies and NVIDIA's product teams to drive performance, efficiency, and adoption of NVIDIA's inference stack. Responsibilities include technical leadership, customer engagement, and community building through workshops and reference architectures.

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

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

This role involves partnering with academic and research institutions to advance AI and HPC workloads using NVIDIA's accelerated computing platform. The Solutions Architect will guide researchers in integrating NVIDIA technologies into large-scale projects, particularly around large language models and open models. Responsibilities include hands-on technical engagement, driving research collaborations, delivering training, and translating research needs into product feedback for engineering teams.

NVIDIA Cambridge, United Kingdom
NVIDIA logo

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

This role involves partnering with academic and research institutions to advance AI and HPC initiatives using NVIDIA's accelerated computing platforms. The Solutions Architect will guide researchers in integrating NVIDIA technologies into large-scale AI projects, particularly around LLMs and open models, while contributing to joint research and technical content. Responsibilities include hands-on training, prototyping solutions, and bridging research needs with product development through direct feedback to engineering teams.

NVIDIA Reading, United Kingdom
NVIDIA logo

Senior Solutions Architect, Higher Education and Research

Act as a trusted technical advisor to academic and research institutions, driving adoption of NVIDIA's accelerated computing and AI technologies. Collaborate with researchers to integrate NVIDIA frameworks into large-scale projects, deliver training and workshops, and translate research needs into prototypical solutions. Focus on multimodal and physical AI, with deep engagement in GPU-accelerated computing and joint research initiatives.

NVIDIA Reading, United Kingdom
See all 51 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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