Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Shape and propose innovative AI solutions for clients while supporting sales activities.
- Company: Join Version 1, a leading tech consultancy with over 28 years of success and multiple awards.
- Benefits: Enjoy hybrid work, private medical insurance, profit sharing, and tech-related perks.
- Why this job: Be part of a fast-growing team that values innovation and employee well-being.
- Qualifications: Experience in pre-sales AI roles and strong technical understanding of AI/ML concepts required.
- Other info: Opportunity to work with top tech partners like Microsoft and AWS.
The predicted salary is between 43200 - 72000 £ per year.
Role: Pre Sales AI Architect
Locations: London, Birmingham, Manchester, Newcastle upon Tyne, Edinburgh, Belfast, United Kingdom (Hybrid)
Job Type: Full-Time
Job Description
Role Overview
As a Pre-Sales AI Architect, you will play a pivotal role in identifying, shaping, and securing new AI opportunities by bridging the gap between complex customer challenges and transformative, AI-powered solutions. This highly consultative role requires a strong blend of technical expertise, business acumen, and communication skills. You will work closely with clients, account teams, and delivery leads to understand customer needs, design compelling AI solutions, and contribute to successful bid strategies and proposals.
You are expected to act as a trusted advisor to both internal teams and client stakeholders, translating real-world challenges into scalable AI architectures that demonstrate tangible business value. Your work will directly support sales growth by influencing solution design, estimating effort and risk, and differentiating our offer through innovation and credibility.
Key Responsibilities
1. Shape AI Solutions in Response to Client Needs
Engage with client stakeholders to uncover pain points, business drivers, and opportunities for AI-powered transformation.
Conduct discovery workshops and assessments to define business requirements and align them with AI use cases.
2. Design and Propose AI Architectures
Translate client requirements into scalable, cloud-based AI architectures that address both technical feasibility and business impact.
Propose end-to-end AI/ML solutions—including model design, data pipelines, MLOps, and platform integration—tailored to each opportunity.
3. Support Sales and Bid Activity
Lead the technical response for AI-related RFPs, RFIs, and proposals, including solution overviews, technical narratives, architecture diagrams, and estimates.
Contribute to bid strategy, win themes, and differentiators based on the latest AI technologies (e.g. GenAI, LLMs, computer vision, NLP, predictive modelling).
4. Prototype and Demonstrate
Build proof-of-concepts (PoCs) or demos to validate solution approaches and inspire client confidence.
Showcase AI capabilities using relevant tools (e.g. Power BI + Azure ML, Hugging Face, LangChain, GPT APIs).
5. Track Industry Trends and Use Cases
Stay ahead of market trends in Generative AI, Responsible AI, and emerging AI use cases across sectors.
Advise internal stakeholders on how evolving technologies (e.g. vector databases, RAG pipelines, prompt engineering) can drive value in future proposals.
Qualifications
Experience & Skills
- Proven experience in pre-sales or client-facing architecture roles involving AI, data science, or analytics.
- Strong ability to elicit business needs and align them with AI/ML solutions in cloud environments (Azure, AWS, or GCP).
- Deep technical understanding of AI/ML concepts: supervised and unsupervised learning, GenAI, LLMs, embeddings, MLOps, vector search.
- Experience designing solutions using tools such as Azure ML, AWS SageMaker, Google Vertex AI, Databricks, LangChain, and Hugging Face.
- Ability to develop architecture artefacts (e.g., HLDs), estimate effort and cost, and contribute to proposal writing.
- Strong storytelling and presentation skills; able to build confidence with senior business and technical stakeholders.
- Experience working in bid teams or alongside account executives, ideally in a consultancy or solution provider context.
- Understanding of data governance, security, and ethical AI practices.
- Ability to adapt solutions across multiple sectors (e.g., public sector, utilities, finance, health) is a strong advantage.
Company Description
Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re also an award-winning employer reflecting how employees are at the heart of Version 1.
We’ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year – EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023.
As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally.
Additional information
At Version 1 , we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability.
One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology.
We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat.
Our employee-designed Profit Share scheme divides a portion of our company\’s profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.
Pre Sales AI Architect employer: Version 1
Contact Detail:
Version 1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pre Sales AI Architect
✨Tip Number 1
Familiarise yourself with the latest AI technologies and trends, especially in Generative AI and Responsible AI. This knowledge will not only help you in discussions but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 2
Engage in networking opportunities within the AI community. Attend industry events, webinars, or meetups to connect with professionals who can provide insights and potentially refer you to openings at StudySmarter.
✨Tip Number 3
Prepare to showcase your technical skills by building a portfolio of proof-of-concept projects. Highlighting your ability to design and implement AI solutions will set you apart during interviews.
✨Tip Number 4
Practice your storytelling and presentation skills. Being able to clearly articulate complex AI concepts to both technical and non-technical stakeholders is crucial for a Pre-Sales AI Architect role.
We think you need these skills to ace Pre Sales AI Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Pre Sales AI Architect position. Understand the key responsibilities and qualifications required, so you can tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience in pre-sales or client-facing architecture roles involving AI, data science, or analytics. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Technical Skills: Clearly outline your technical expertise in AI/ML concepts and tools such as Azure ML, AWS SageMaker, or Google Vertex AI. Provide examples of how you've applied these skills in previous roles, particularly in designing scalable AI architectures.
Craft a Compelling Cover Letter: Write a cover letter that not only summarises your qualifications but also demonstrates your understanding of the company's values and how you can contribute to their success. Use storytelling to convey your passion for AI and your ability to bridge technical solutions with business needs.
How to prepare for a job interview at Version 1
✨Understand the Role
Before the interview, make sure you thoroughly understand the responsibilities of a Pre-Sales AI Architect. Familiarise yourself with how this role interacts with clients and internal teams, and be ready to discuss how your experience aligns with these expectations.
✨Showcase Your Technical Expertise
Be prepared to discuss your technical knowledge in AI/ML concepts and tools. Highlight your experience with cloud environments like Azure, AWS, or GCP, and be ready to explain how you've applied these skills in previous roles.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think of examples where you've successfully identified client needs and designed AI solutions, and be ready to articulate your thought process clearly.
✨Demonstrate Strong Communication Skills
As a Pre-Sales AI Architect, communication is key. Practice explaining complex technical concepts in simple terms, as you'll need to build confidence with both technical and non-technical stakeholders during the interview.