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For Companies At a Glance
- Tasks: Shape AI solutions, design architectures, and support sales activities.
- Company: Join Version 1, a trusted tech consultancy with 28 years of success and multiple awards.
- Benefits: Enjoy flexible working, profit sharing, wellness schemes, and career development opportunities.
- Why this job: Be at the forefront of AI innovation while making a real impact on client success.
- Qualifications: Experience in pre-sales roles with strong AI and cloud knowledge is essential.
- Other info: Engage in exciting projects with top global brands and contribute to meaningful change.
The predicted salary is between 48000 - 84000 £ per year.
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. We have several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We are focused on our core values; using these we have seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion.
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
- 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.
- 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.
- 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.
- Prototype and Demonstrate: Build proof-of-concepts (PoCs) or demos to validate solution approaches and inspire client confidence. Showcase AI capabilities using relevant tools.
- 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 can drive value in future proposals.
Qualifications
- 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.
- Deep technical understanding of AI/ML concepts.
- Experience designing solutions using tools such as Azure ML, AWS SageMaker, Google Vertex AI, Databricks, LangChain, and Hugging Face.
- Ability to develop architecture artefacts, 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 is a strong advantage.
Why Version 1?
At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. Share in our success with our Quarterly Performance-Related Profit Share Scheme. Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes. Flexible/remote working, financial wellbeing initiatives, employee wellbeing schemes, generous holiday allowance, educational assistance, and reward schemes.
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 those mentioned in the job description like Generative AI and MLOps. This knowledge will not only help you during interviews but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 2
Engage with professionals in the AI community through networking events or online forums. Building connections can provide insights into the role and may even lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 3
Prepare to discuss real-world examples where you've successfully designed AI solutions or contributed to pre-sales activities. Being able to articulate your experience in a compelling way will set you apart from other candidates.
✨Tip Number 4
Practice your storytelling and presentation skills, as these are crucial for the Pre-Sales AI Architect role. Consider creating a mock presentation on an AI solution you've designed, as this will help you convey complex ideas clearly and confidently during interviews.
We think you need these skills to ace Pre Sales AI Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Pre-Sales AI Architect. Familiarise yourself with the key skills and qualifications mentioned in the job description, such as AI architecture, client engagement, and proposal writing.
Tailor Your CV: Customise your CV to highlight relevant experience in pre-sales or client-facing roles involving AI and data science. Emphasise your technical skills, particularly in cloud environments like Azure or AWS, and any experience with tools mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the company's values. Use specific examples from your past experiences to demonstrate how you can contribute to Version 1's success and align with their core values.
Showcase Your Communication Skills: Since the role requires strong storytelling and presentation skills, consider including a section in your application that highlights your ability to communicate complex ideas clearly. You might also want to mention any relevant presentations or workshops you've led.
How to prepare for a job interview at Version 1
✨Understand the Role
Make sure you have a solid grasp of what a Pre-Sales AI Architect does. Familiarise yourself with the key responsibilities, such as shaping AI solutions and designing architectures. This will help you articulate how your skills align with the role during the interview.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI/ML concepts and tools like Azure ML or AWS SageMaker. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to handle the technical aspects of the job.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think of examples where you've identified client needs and translated them into effective AI solutions. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Research Version 1's Values and Culture
Familiarise yourself with Version 1's core values and recent achievements. Understanding their focus on innovation and employee wellbeing will allow you to tailor your answers to show that you're a good cultural fit and genuinely interested in contributing to their success.
