Senior Data & AI Solutions Architect
Technical Pre-Sales / Customer Solutions
Location: London, UK - Hybrid
Contract: Permanent - Full-time (~1-2 days per week in office)
Package: £80,000-100,000 + 30% Bonus + 10% Shares + Benefits (see more below)
About Appvia
Appvia is a specialist platform engineering and AI enablement consultancy, helping organisations design, build, and operate modern cloud platforms and transform how software is delivered.
Our work spans platform engineering, software modernisation, data platforms, AI enablement, and managed services. We partner with public and private sector organisations to solve complex challenges, improve developer productivity, and unlock value from modern cloud and AI technologies.
As demand for our Data & AI capability continues to grow, we are investing heavily in building repeatable services, assets, and accelerators that help customers move from experimentation to real business outcomes.
About the Role
We are looking for a senior, customer-facing Data & AI Solutions Architect to help shape and grow Appvia's Data & AI capability.
This is a high-impact role sitting at the intersection of Revenue, Engineering, and Product. Working closely with the Head of Cloud Solutions and the growing Data & AI Practice, you will help customers turn data into decisions and AI into value, while influencing Appvia's services, propositions, and go-to-market strategy.
With demand strongest around modern data platforms, we are looking for someone with deep expertise in data architecture and hands-on experience across modern data and AI technologies. You will own technical engagements from initial discovery through proof-of-value and into delivery handover, building trusted relationships with customers and guiding them from ideas to measurable outcomes.
This is a fantastic opportunity for a technically strong communicator who enjoys combining architecture, storytelling, and customer engagement, and who wants to play a key role in defining the future of Data & AI at Appvia.
Interview Process - 3 Stage
Discovery conversation with Talent Acquisition
Technical interview with Data & AI Practice
Final interview with Leadership
Requirements
Responsibilities
Partner with the Revenue team to shape account plans, opportunity strategy, and business objectives
Technically qualify opportunities, validating customer fit, decision criteria, and clear paths to value
Own the technical outcome of customer engagements from discovery through proof-of-value and into delivery
Lead workshops to uncover business goals, technical constraints, and success criteria
Qualify value, ROI, and TCO to help customers secure investment and stakeholder buy-in
Support proposals, Statements of Work, RFI/RFP responses, and security questionnaires
Design and deliver compelling demonstrations, proofs-of-concept, and technical deep dives
Build reusable demo environments, reference architectures, and technical assets to accelerate future sales cycles
Create segmented technical content, webinars, and industry-facing material with Marketing
Develop relationships with cloud and SI partners to expand Appvia's reach and co-sell opportunities
Represent Appvia at customer workshops, industry events, and community meetups
Feed customer insight, competitive intelligence, and market trends back into Product and Professional Services
About You
You are a technically strong communicator who enjoys engaging with customers and making complex ideas easy to understand. Equally comfortable presenting to C-level stakeholders or discussing architecture with engineers, you're passionate about helping organisations realise value from modern data and AI technologies.
You will bring:
Experience in pre-sales, solution architecture, consulting, or technical evangelism within Data & AI
Strong understanding of modern data platforms and data architecture
Experience designing and explaining Lakehouse and Data Warehouse architectures using technologies such as Databricks, Snowflake, Microsoft Fabric, BigQuery, Redshift, or similar
Strong understanding of ETL/ELT, analytics and BI, stream vs batch processing, and Medallion Architecture
Familiarity with the Data Science and ML lifecycle, including feature engineering, model training, monitoring, and MLOps
Working knowledge of GenAI technologies, including RAG, MCP, vector databases, LLM providers, agentic workflows, and LLMOps
Experience with cloud-native technologies across AWS, Azure, or GCP, including their Data and AI services
Understanding of data governance, responsible AI, access controls, data lineage, and compliance requirements
Experience running proofs-of-concept and technical evaluations through to successful outcomes
Strong customer-facing experience within enterprise environments
Excellent communication, presentation, storytelling, and workshop facilitation skills
A self-starter mindset and the ability to thrive in a fast-paced, evolving environment
Benefits
Why join Appvia?
We are a self-funded, London-based consultancy, growing rapidly while staying true to what got us here: a human, engineering-led culture built on trust, ownership, and getting things done.
As we scale, we’re maturing as a business and expanding into new areas across platform engineering, software, data, and AI. We’re intentional about keeping our culture at the heart of it. We operate with a flat structure, agile ways of working, and a strong focus on collaboration, where good ideas come from anywhere and people are trusted to make an impact.
We work alongside our customers to solve complex, real-world problems: modernising systems, improving delivery, and building scalable platforms that enable long-term success.
If you want to be part of a team that values people as much as technology and gives you the space to grow while working on meaningful challenges, Appvia is the place to do it.
What’s on offer?
⚖️ Work-life balance
Flexible working hours - because we know life happens outside of work
Hybrid working - outcomes focused working
25 days’ holiday a year, plus bank holidays
An additional day off for your birthday
Enhanced maternity and paternity to full pay
Workplace Nursery Benefit to help working parents
💚 For your well-being
Full Private Healthcare cover for you with partners and children covered 50%
Death in Service
Cycle to Work scheme
Electric Car Scheme
Pension plus a salary sacrifice option for even greater savings
Employee Assistance Programme
Free hygiene products available in the London office
🧠 Mental health support
Free therapy through AXA
Access to the Headspace App
Trained Mental Health First Aiders
😃 Other fun perks
Learning budget of £1,000 a year
Your own MacBook Pro while you work at Appvia
Dog friendly office
Wear what makes you comfortable
Free snacks in the office
Pool table & ping pong table
Regular team socials, board game nights, industry meetups and more!
But don’t just take our word for it, you can check out what our Appvians say about us on Glassdoor and by following us on LinkedIn, Twitter and TikTok.
We are proud to be an equal opportunities employer and actively encourage, respect, and recognise diversity of thought and background throughout the business. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, and disability status.
Note: While all roles are active and approved at the time of posting, the dynamic nature of our start-up means some applications may be processed to pipeline talent for future opportunities rather than current openings. We will strive to keep you informed of any changes to the status of your application.
Summary
Senior customer-facing Data & AI Solutions Architect owning technical engagements from discovery through proof-of-value, shaping account strategy, designing data and AI architectures, leading workshops, and supporting proposals. Requires pre-sales or solution architecture experience in Data & AI, modern data platform expertise, cloud experience across AWS, Azure, or GCP, and strong communication and workshop facilitation skills.
Responsibilities
Partner with Revenue to shape account plans and opportunity strategy; technically qualify opportunities; own technical outcomes from discovery through proof-of-value; lead workshops; qualify value, ROI, and TCO; support proposals, SOWs, RFI/RFP responses, and security questionnaires; design and deliver demos, proofs-of-concept, and technical deep dives; build reusable demo environments and reference architectures; create segmented technical content and webinars with Marketing; develop cloud and SI partner relationships; represent Appvia at workshops, events, and meetups; feed customer insight and competitive intelligence to Product and Professional Services
Qualifications
Experience in pre-sales, solution architecture, consulting, or technical evangelism within Data & AI; strong understanding of modern data platforms and data architecture; experience designing Lakehouse and Data Warehouse architectures; strong understanding of ETL/ELT, analytics, BI, stream vs batch processing, and Medallion Architecture; familiarity with the Data Science and ML lifecycle; working knowledge of GenAI technologies; experience with cloud-native technologies across AWS, Azure, or GCP; understanding of data governance, responsible AI, access controls, data lineage, and compliance; experience running proofs-of-concept and technical evaluations; strong customer-facing enterprise experience; excellent communication, presentation, storytelling, and workshop facilitation skills; self-starter able to thrive in a fast-paced, evolving environment
Experience requirements
Experience in pre-sales, solution architecture, consulting, or technical evangelism within Data & AI
Interview process
3-stage: discovery conversation with Talent Acquisition; technical interview with Data & AI Practice; final interview with Leadership
Benefits
Flexible working hours; hybrid working; 25 days holiday plus bank holidays; birthday day off; enhanced maternity and paternity pay; workplace nursery benefit; private healthcare; death in service; cycle to work; electric car scheme; pension with salary sacrifice; EAP; free hygiene products; free therapy; Headspace; mental health first aiders; £1,000 learning budget; MacBook Pro; dog-friendly office; free snacks; pool and ping pong; team socials