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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
36
Salary range
£55k – £126k
Hiring companies
14
View 36 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

36 live roles

See all 36 roles →
NVIDIA logo

Senior Solutions Architect, Generative AI - AI Models and Systems at NVAITC

This role involves collaborating with top UK universities and research labs on high-impact AI projects, evaluating new research opportunities, and championing NVIDIA's software platforms. You will also help secure research funding, provide strategic insights, and coordinate outreach activities.

NVIDIA United Kingdom
Remote Permanent
Databricks logo

Delivery Solutions Architect

As a Delivery Solutions Architect at Databricks, you will collaborate with sales and field engineering teams to accelerate the adoption and growth of the Databricks platform. You will lead the technical strategy and execution for key customers, ensuring their success and maximizing the value they derive from Databricks. This role involves both technical and commercial responsibilities, requiring strong technical skills and the ability to build executive relationships.

Databricks London, United Kingdom
Hybrid Permanent
Databricks logo

Senior Solutions Architect (DS/ML/GenAI/LLM)

JOB ID:FEQ227R117Location:London, United KingdomIndustry:Professional Business Services (Consultancy, Legal, etc)At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes data science...

Databricks London, United Kingdom
NVIDIA logo

Solution Architect, Local Government AI

The role involves working closely with government clients and internal teams to translate public sector goals into AI-driven solutions using NVIDIA's technologies. You'll develop technical collateral, support proofs of concept, guide deployments, and advocate for product improvements based on real-world needs in areas like computer vision, generative AI, and digital twins. Collaboration with partners and cross-functional teams is central, with an emphasis on mentoring and technical leadership.

NVIDIA Spain
Remote Permanent Clearance Required
Databricks logo

Pre-sales Solutions Architect (Manufacturing, Defence & Automotive)

This role involves working closely with enterprise clients in manufacturing, defence, and automotive sectors to design and demonstrate data and AI solutions using the Databricks Lakehouse Platform. The individual will lead technical pre-sales engagements, develop reference architectures, and deliver proof-of-concepts, while acting as a trusted advisor on data strategy and Generative AI implementation. They will also contribute to building technical communities through workshops and knowledge sharing.

Databricks London, United Kingdom
Hybrid Permanent Clearance Required
Databricks logo

Senior Specialist Solutions Architect (AI/ML)

This role involves designing and implementing production-grade machine learning and AI workloads on the Databricks platform, with a strong focus on generative AI, including RAG architectures, agentic systems, and AI observability. The architect will guide enterprise customers through technical challenges, build MVPs, and influence product development by representing customer needs. They will also drive thought leadership through technical content, training, and public speaking.

Databricks London, United Kingdom
Hybrid Permanent
Databricks logo

Sr. Specialist Solutions Architect

This role involves designing and implementing production-grade machine learning and AI workloads on the Databricks platform, with a strong focus on generative AI, MLOps, and large language models. The architect will guide enterprise customers through technical challenges, build proof-of-concept solutions, and influence product development based on customer feedback. It also emphasizes thought leadership through technical content creation, mentoring, and participation in industry events.

Databricks London, United Kingdom
Hybrid Permanent
NVIDIA logo

Solution Architect, Local Government AI

The role involves working closely with government clients and internal teams to translate public sector goals into AI-driven solutions. You will develop technical strategies, create educational resources, and support the deployment of AI workflows using NVIDIA's technologies, particularly in areas like computer vision, generative AI, and digital twins. The position emphasizes collaboration with partners, hands-on technical guidance, and advocacy for customer needs in product development.

NVIDIA
Remote Permanent Clearance Required
See all 36 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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