At a Glance
- Tasks: Lead technical pre-sales and design AI infrastructure solutions for data centre and enterprise deployments.
- Company: Blaize, a pioneering company in programmable AI platforms.
- Benefits: Competitive salary, diverse workforce, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on collaboration and innovation.
- Why this job: Join a cutting-edge team shaping the future of AI technology.
- Qualifications: 8-12 years in solutions architecture with strong AI tech knowledge.
The predicted salary is between 63900 - 78100 £ per year.
About Blaize
Blaize (Nasdaq: BZAI) builds a programmable AI platform for inference in real-world environments. At its core, the Blaize Graph Streaming Processor (GSP) is a purpose-built, energy-efficient architecture for real-world AI inference, combined with GPU in a hybrid AI infrastructure that runs across the edge, cloud, and datacenter. Our platform powers computer vision, multimodal AI, and sensor-driven applications across smart cities, industrial automation, telecommunications, retail, logistics, healthcare, automotive, and defense. Blaize is expanding from edge AI hardware into a full platform that combines its hardware systems with Blaize AI Services, the software and services layer that delivers deployable AI solutions for enterprises, governments, and cloud service providers worldwide. By combining differentiated computing architecture with scalable AI Services, we help organizations deploy intelligence where decisions matter most.
Role Overview
We are looking for a technically deep, commercially sharp Solutions Architect to own the technical pre-sales and solution design motion for Blaize's AI infrastructure across data center and enterprise deployments. This is a high-visibility, high-impact role at the intersection of AI silicon, software platforms, and go-to-market - working directly with cloud providers, system integrators, OEM partners, and enterprise customers to architect and evangelize Blaize-powered AI deployments. You will be the technical face of Blaize in customer engagements, owning everything from initial solution design through POC execution, reference architecture development, and partner enablement.
Key Responsibilities
- Technical Pre-Sales & Solution Design
- Design and present AI infrastructure solutions leveraging GPU, CPU, DPU, NPU, and Blaize's software platform for data center and enterprise deployments
- Lead technical discovery, solution scoping, and architecture reviews with cloud providers, system integrators, and enterprise customers
- Own POC execution and drive technical evaluations to successful outcomes
- AI Workload Architecture
- Map customer AI workloads - including transformer and CNN-based models - onto Blaize and complementary hardware/software stacks
- Demonstrate total cost of ownership (TCO) advantages of Blaize architectures, including hybrid GPU/Blaize configurations in data center environments
- Translate complex workload requirements into concrete, deployable architectures
- Architect production deployments of Blaize's AI Services Platform for cloud providers, system integrators, and enterprises
- Enable customers to deploy business-outcome applications without building the underlying AI stack from scratch
- Evangelize Blaize's hybrid edge-to-cloud approach across both hardware and software layers
- Go-to-Market Enablement
- Develop reference architectures, whitepapers, and technical collateral that accelerate customer adoption
- Serve as a trusted technical advisor to data center and enterprise customers and their integration partners
- Support the sales team with technical positioning, competitive differentiation, and deal strategy
- Ecosystem & Partner Development
- Collaborate with OEM and channel partners to scale co-branded AI edge data center deployments globally
- Build and maintain strong technical relationships across the cloud and SI partner ecosystem
- Represent Blaize at industry events, conferences, and partner summits
- Cross-functional Leadership
- Bridge product, engineering, and sales to ensure the Blaize platform roadmap reflects real customer and market needs
- Provide structured field feedback to influence product prioritization and roadmap decisions
- Mentor and support junior members of the solutions and pre-sales team
Qualifications
- 8-12 years of experience in solutions architecture, pre-sales engineering, or AI infrastructure roles
- Deep technical understanding of AI acceleration technologies - GPU, CPU, DPU, NPU - and data center deployment architectures
- Hands-on experience with AI/ML frameworks and workload types including transformer and CNN-based models
- Experience working with cloud providers (AWS, Azure, GCP) and/or system integrators in a technical capacity
- Proven ability to lead customer-facing POCs and translate technical value into business outcomes
- Strong communication and presentation skills - equally comfortable in a whiteboard session with engineers and a business review with executives
- Experience with edge AI, hybrid cloud architectures, or AI inference platforms is a strong plus
- Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field; advanced degree preferred
Leadership Profile
- Entrepreneurial and self-directed - comfortable operating with ambiguity in a fast-moving environment
- Customer-obsessed with strong commercial instincts
- Collaborative across engineering, product, and sales without being slowed down by org boundaries
- Credible, confident technical communicator who earns trust quickly
Blaize is an equal opportunity employer. We pride ourselves on having a diverse workforce and we do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender, gender identity, and gender expression of our applicants and employees, and we honour requests for preferred pronouns. It is our policy to comply with all applicable national, state, and local laws pertaining to non-discrimination and equal opportunity.
Director, Solutions Architecture & Pre-Sales — AI Infrastructure in Leeds employer: BLAIZE
Blaize is an exceptional employer, offering a unique opportunity to work at the cutting edge of AI and machine vision technology in Leeds. With a collaborative and open management style, employees are encouraged to contribute their ideas and take ownership of projects, leading to clear growth trajectories within the company. The diverse and multi-disciplinary team fosters a supportive work culture, ensuring that every team member can see the direct impact of their contributions on real-world deployments.
StudySmarter Expert Advice🤫
We think this is how you could land Director, Solutions Architecture & Pre-Sales — AI Infrastructure in Leeds
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Director, Solutions Architecture & Pre-Sales — AI Infrastructure in Leeds
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at BLAIZE.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at BLAIZE and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at BLAIZE
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If BLAIZE uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
