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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 →
Amazon logo

Senior Solutions Architect, Solutions Architecture, UK

This role involves working closely with AWS customers in the Travel and Hospitality sector to understand their business challenges and design tailored cloud solutions using AWS technologies. The Senior Solutions Architect leads technical engagements, delivers workshops, and advises on architecture strategies involving AI, data analytics, and cloud innovation. They act as a trusted advisor, bridging technical expertise with business outcomes while advocating for customer needs internally.

Amazon London, United Kingdom
Hybrid Permanent
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 Reading, United Kingdom
On-site Permanent
NVIDIA logo

Senior Solutions Architect, Physical AI and Robotics at NVAITC

This role involves collaborating with leading research institutions on high-impact AI and robotics projects, championing NVIDIA's software platforms, and shaping strategic partnerships. You will identify new research opportunities, mentor postgraduate students, and communicate technical requirements to drive cutting-edge research.

NVIDIA United Kingdom
Remote Permanent
Databricks logo

Senior Solutions Architect (Utilities/Energy)

REQ ID:FEQ227R246Location:London, UKRecruiter: Dina HussainAt Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build a unified platform that makes data science and analytics accessible to...

Databricks London, United Kingdom
Databricks logo

Lead Solutions Architect - Strategic Customers

This role involves collaborating with Databricks' most significant enterprise customers to drive organisational transformation through data and AI. Responsibilities include advising on Databricks adoption, mentoring technical teams, and integrating with the broader cloud ecosystem (AWS, Azure, GCP).

Databricks London, United Kingdom
Hybrid Permanent
Amazon logo

EMEA Sr. Solutions Architect, Applied AI for Supply Chain, Applied AI Solutions Decisions GTM

This role involves designing and delivering enterprise-scale agentic AI solutions for supply chain and business decisioning, with a focus on shaping technical and business strategies across global customers. The architect will define reference architectures, influence AWS product roadmaps, and create thought leadership to advance AI adoption in complex planning environments. It emphasizes innovation in emerging AI domains and cross-organizational leadership to set new industry standards.

Amazon London, United Kingdom
Hybrid Permanent
CrowdStrike logo

Solution Architect, Integration Partners GTM

This role involves serving as the technical bridge between CrowdStrike and its European Integration Partner ecosystem, focusing on designing, building, and validating integrations with the Falcon Platform. The Solution Architect will provide sales engineering support, enable partners through training and technical collaboration, and drive joint go-to-market initiatives. Emphasis is placed on leveraging AI and automation to enhance integration workflows and operational efficiency within a high-scale cybersecurity environment.

CrowdStrike Windsor, SL4 4BQ, United Kingdom
Remote Permanent
CrowdStrike logo

Solution Architect, Integration Partners GTM

This role involves enabling and supporting CrowdStrike's integration partners across Europe by designing, building, and validating technical integrations with the Falcon Platform. The Solution Architect acts as a technical liaison, delivering sales engineering support, creating demo environments, and driving joint go-to-market initiatives. A strong focus is placed on leveraging AI to enhance integration workflows and operational efficiency while ensuring compliance with security and data sovereignty standards.

CrowdStrike €55,500 – €85,250 pa
Remote Permanent
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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