Pre Sales AI Data Architect

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.

Additional Information

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, where employees collectively benefit from a share of our company's profits.
• Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme.
• Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance.
• Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme.
• Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies.
• Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat.
• Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform.
• Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.

And many more exciting benefits… drop us a note to find out more.

Laura Cowan

#LI-LC1