At a Glance
- Tasks: Lead AI solution design and client discovery sessions to address business challenges.
- Company: Join a trusted tech services firm with nearly 30 years of innovation and strong partnerships.
- Benefits: Enjoy competitive salary, remote work options, and a collaborative culture.
- Other info: Work across diverse sectors like healthcare, finance, and public services.
- Why this job: Be at the forefront of AI transformation, shaping solutions that make a real impact.
- Qualifications: Experience in AI/ML design, cloud environments, and excellent communication skills required.
The predicted salary is between 48000 - 84000 £ per year.
Overview
This well-established technology services organisation has been delivering innovative solutions for almost three decades, earning the trust of some of the world’s most recognised brands. With strong partnerships across major technology providers including Microsoft, AWS, Oracle, Red Hat, OutSystems, and Snowflake, the company consistently delivers high-quality services and solutions that drive measurable business outcomes.
Can be based anywhere in the UK and Ireland – Competitive Salary + Benefits
The Role
My client is seeking a Pre-Sales AI Architect to play a pivotal role in identifying, shaping, and securing new AI opportunities. This position blends deep technical expertise with strong commercial acumen, aiming to design AI-powered solutions that address complex real-world business challenges.
In this highly consultative role, the successful candidate will work closely with clients, account teams, and delivery leads to uncover customer needs, create scalable AI architectures, and contribute to successful bid strategies. The role will be instrumental in driving sales growth by delivering innovative, credible, and value-focused AI solutions.
Key Responsibilities
- Translate Client Needs into AI Solutions: Lead discovery sessions to identify business drivers, challenges, and AI opportunities; map business requirements to AI/ML use cases, focusing on measurable value
- Design End-to-End AI Architectures: Develop scalable AI/ML solutions including model design, data pipelines, MLOps, and cloud integration; utilise platforms such as Azure ML, AWS SageMaker, Google Vertex AI, Databricks, Hugging Face, and LangChain; provide technical input for RFPs/RFIs, producing solution narratives, architecture diagrams, and cost estimates; differentiate proposals through innovations in GenAI, LLMs, NLP, and computer vision
- Communicate Value Clearly: Present complex technical concepts to business audiences in clear, commercially relevant terms; build proof-of-concepts and demos to validate designs and inspire client confidence; work with data scientists, engineers, and delivery teams to ensure solutions are viable and scalable; support commercial modelling with sales, legal, and pricing teams
- Stay Ahead of AI Trends: Monitor developments in RAG, vector databases, prompt engineering, and Responsible AI; share knowledge internally and apply emerging technologies to strengthen proposals
Candidate Profile
- Extensive experience in AI/ML solution design within pre-sales, consulting, or client-facing environments
- Proven ability to align business challenges with AI-powered solutions in cloud environments (AWS and Azure essential, GCP desirable)
- Strong knowledge of AI/ML techniques including GenAI, supervised/unsupervised learning, LLMs, MLOps, embeddings, and vector search
- Hands-on experience with platforms such as Databricks, LangChain, Azure ML, and Hugging Face
- Skilled in creating technical artefacts (HLDs), estimating project effort/costs, and contributing to winning bids
- Excellent presentation and communication skills, capable of engaging technical and non-technical audiences
- Background working alongside bid teams or account executives, ideally in a consultancy or solution-oriented business
- Awareness of data governance, security standards, and ethical AI considerations
- Adaptable across industries such as public sector, utilities, healthcare, and finance
This is a unique opportunity to join a values-driven, award-winning technology services provider and help shape AI-driven transformations across multiple sectors.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- IT Services and IT Consulting
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AI Architect (Pre Sales) employer: Stanton House
Stanton House is an exceptional employer that fosters a collaborative and innovative work culture, where your analytical skills will directly contribute to impactful business decisions. Located in vibrant West London, we offer a hybrid working model that promotes work-life balance, alongside ample opportunities for professional growth and development within a supportive team environment. Join us to be part of a forward-thinking organisation that values your insights and empowers you to make a real difference.
StudySmarter Expert Advice🤫
We think this is how you could land AI Architect (Pre Sales)
✨Tip Number 1
Familiarise yourself with the specific AI platforms mentioned in the job description, such as Azure ML and AWS SageMaker. Having hands-on experience or even personal projects using these tools can set you apart during discussions.
✨Tip Number 2
Stay updated on the latest trends in AI, particularly in areas like GenAI and Responsible AI. Being able to discuss recent developments and how they can be applied to real-world business challenges will demonstrate your expertise and enthusiasm.
✨Tip Number 3
Practice your presentation skills by explaining complex AI concepts in simple terms. This will help you communicate effectively with both technical and non-technical audiences, which is crucial for the role.
✨Tip Number 4
Network with professionals in the AI and technology consulting space. Engaging with industry peers can provide insights into the role and may even lead to referrals, increasing your chances of landing an interview.
We think you need these skills to ace AI Architect (Pre Sales)
Some tips for your application 🫡
Understand the Role:Before applying, make sure to thoroughly understand the responsibilities and requirements of the AI Architect (Pre Sales) position. Tailor your application to highlight relevant experiences that align with the job description.
Highlight Relevant Experience:In your CV and cover letter, emphasise your extensive experience in AI/ML solution design, particularly in pre-sales or consulting environments. Provide specific examples of how you've successfully aligned business challenges with AI-powered solutions.
Showcase Technical Skills:Clearly outline your technical expertise with platforms like Azure ML, AWS SageMaker, and Databricks. Mention any hands-on experience you have with AI/ML techniques and tools, as this will be crucial for the role.
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 mission. Make sure to communicate your passion for AI and its potential to drive business outcomes.
How to prepare for a job interview at Stanton House
✨Understand the Company and Its Solutions
Before the interview, take some time to research the technology services organisation and its partnerships with major providers like Microsoft and AWS. Familiarise yourself with their innovative solutions and how they drive business outcomes, as this will help you align your answers with their values and objectives.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience in AI/ML solution design, particularly in pre-sales or consulting environments. Highlight specific projects where you've developed scalable AI architectures and how you've used platforms like Azure ML or AWS SageMaker to solve complex business challenges.
✨Communicate Clearly and Confidently
Since the role involves presenting complex technical concepts to non-technical audiences, practice explaining your ideas in simple terms. Use examples from your past experiences to demonstrate how you can effectively communicate value and inspire client confidence through proof-of-concepts and demos.
✨Stay Updated on AI Trends
Demonstrate your knowledge of current trends in AI, such as RAG, vector databases, and Responsible AI. Be ready to discuss how these developments can be applied to create innovative solutions and strengthen proposals, showing that you are proactive and engaged in the field.
