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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
18
Hiring companies
1
View 18 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
Skills & tools

What hiring managers ask for

% of 18 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Python
72%
Deep Learning
50%
PyTorch
44%
Omniverse
44%
CUDA
39%
TensorRT
39%
cuOpt
39%
Langchain
39%
Transformer Engine
39%
Megatron-LM
39%
Cosmos
39%
AI
39%
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

18 live roles

See all 18 roles →
NVIDIA logo

Solutions Architect - AI for Drug Discovery

As a Solutions Architect, you will collaborate with leading pharmaceutical companies and research organizations to accelerate AI-powered drug discovery using NVIDIA’s computing platform. Your role involves supporting business development, guiding customers in implementing production-grade AI deployments, and fostering relationships with key stakeholders. You will also document best practices, deliver technical demonstrations, and explore the latest advancements in AI for biopharma.

NVIDIA
Remote Permanent
NVIDIA logo

Solutions Architect - AI for Drug Discovery

As a Solutions Architect at NVIDIA, you will collaborate with leading pharmaceutical companies and research organizations to accelerate AI-powered drug discovery. Your role involves supporting business development, working directly with customers to implement AI solutions, and driving innovation through proof-of-concept demonstrations and scaling AI deployments.

NVIDIA
Remote Permanent
NVIDIA logo

Solutions Architect - AI for Drug Discovery

As a Solutions Architect at NVIDIA, you will collaborate with leading pharmaceutical companies and research organizations to accelerate AI-powered drug discovery. Your role involves supporting business development, guiding customers in implementing AI solutions, and fostering relationships with key stakeholders. You will work on groundbreaking projects that are revolutionizing drug discovery and development, leveraging NVIDIA’s computing platform and AI technologies.

NVIDIA
Remote Permanent
NVIDIA logo

Solutions Architect - AI for Drug Discovery

As a Solutions Architect, you will collaborate with pharmaceutical companies and research organizations to accelerate AI-powered drug discovery using NVIDIA’s computing platform. Your role involves building proof-of-concept demonstrations, scaling AI deployments, and fostering customer relationships, while staying at the forefront of AI and computational science.

NVIDIA
Hybrid Permanent
NVIDIA logo

Solutions Architect - AI for Drug Discovery

As a Solutions Architect, you will collaborate with leading pharmaceutical companies and research organizations to accelerate AI-powered drug discovery using NVIDIA’s computing platform. Your role involves building proof-of-concept demonstrations, scaling AI deployments, and fostering relationships with key customers, while staying at the forefront of advancements in AI and computational science.

NVIDIA
Remote 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. The position requires significant research experience, publication records, and expertise in Physical AI and Robotics.

NVIDIA Reading, United Kingdom
On-site 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 Cambridge, United Kingdom
On-site 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
See all 18 roles →
Hiring locations

Where this role is hiring

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

Reading

Location
2 open

Cambridge

Location
2 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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