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For Companies At a Glance
- Tasks: Lead the design and delivery of innovative AI solutions for global enterprises.
- Company: Join a pioneering tech company focused on MLOps and AI innovation.
- Benefits: Enjoy flexible working, generous leave, and a £1000 learning budget.
- Why this job: Shape the future of AI while mentoring others and driving customer success.
- Qualifications: Experience in technical roles with strong cloud-native and ML knowledge.
- Other info: Be part of a collaborative team that values diversity and personal growth.
The predicted salary is between 54000 - 84000 £ per year.
About Seldon
Seldon has spent over a decade pioneering MLOps helping enterprises deploy scale and govern machine learning and large language model systems safely and efficiently. Our mission is to help organizations take control of AI complexity with real-time cloud-native serving and monitoring that integrate seamlessly into enterprise workflows. We combine open-source innovation with enterprise-grade capabilities to give teams the flexibility and control they need to move from experimentation to production with confidence. Our platform handles everything from model orchestration and inference to LLM operations observability and explainability enabling data science and ML teams to focus on building great models while we handle the production complexity.
About the Role
As Lead Solutions Architect you’ll help global enterprises bring cutting-edge AI systems into production. You’ll own the technical vision for our most strategic deployments shaping everything from initial scoping to long-term operational success. This senior role blends deep technical understanding with commercial awareness and cross-functional influence. You’ll lead through expertise and collaboration mentoring others shaping best practices and working closely with Sales Product and Engineering to ensure customers unlock the full potential of Seldon’s platform.
Responsibilities
- Architect & Deliver Enterprise Solutions: Design and deliver scalable ML and LLM solutions on Kubernetes using Seldon’s platform. Lead discovery and scoping sessions mapping customer challenges to Seldon’s capabilities. Build and present architecture designs, business cases and technical recommendations. Guide proof-of-concepts from success criteria to deployment ensuring measurable results.
- Drive Customer Success & Growth: Act as a trusted advisor building lasting relationships with customer ML and MLOps teams. Lead Executive Business Reviews (EBRs) and check-ins linking technical outcomes to business goals. Serve as a technical escalation point collaborating with Engineering to resolve complex issues. Identify and drive opportunities for renewal expansion and adoption.
- Support Strategic Sales Activities: Partner with Sales to design compelling demos frame requirements and shape value propositions. Present solutions and proposals to technical and commercial stakeholders. Ensure a smooth transition from evaluation to implementation and post-sales success.
- Mentor & Multiply Impact: Coach a small team of three Senior Solutions and Customer Success Engineers on discovery design and delivery best practices. Develop reusable assets, deployment templates, reference architectures and playbooks. Represent Seldon at industry conferences and meetups to share insights and thought leadership.
- Collaborate Cross-Functionally: Work with Product and Engineering to relay customer insights and influence the roadmap for ML and LLM capabilities. Collaborate with leadership to refine the company’s go-to-market and customer success strategy. Contribute to marketing and enablement initiatives such as webinars, blogs or internal training.
About You
You are a technically fluent customer-focused architect who enjoys solving complex problems and helping others succeed. You bring a strong blend of engineering depth, commercial awareness and the ability to guide both customers and teammates toward meaningful results. You likely have:
- Proven experience in customer-facing technical roles (Solutions Architect, Solutions Engineer or Customer Success Engineer)
- Proven success leading discovery, solution design and implementation for enterprise customers
- Deep understanding of cloud-native technologies (Kubernetes, Docker, containerization)
- Hands-on experience deploying and operating ML or LLM systems
- Strong Python skills to develop, deploy and debug live demos
- Familiarity with modern GenAI patterns (RAG, agentic systems)
- Strong communication skills moving fluidly between technical deep dives and executive storytelling
- Collaborative mindset and ability to lead through influence
Bonus points for:
- Experience with open-source ML / LLM serving frameworks or inference pipelines
- Exposure to ML observability (drift detection, explainability, governance)
- Work in regulated or enterprise sectors (finance, telecom, retail, manufacturing)
- Community thought leadership in AI and MLOps
About Our Culture & Benefits
At Seldon we believe AI will define the next generation of business and we’re building the infrastructure to power it. Our culture is open, collaborative and built on trust, giving people autonomy to solve complex, meaningful problems with cutting-edge technology. We’re a small but mighty team of 25 united by curiosity and purpose. You’ll find space to experiment, support to grow and the freedom to do your best work alongside colleagues who listen, own their outcomes and lead with respect.
Our benefits include:
- Share options to align you with our long-term success
- 28 days annual leave (plus flexible bank holidays)
- Flexible hybrid-working (2 days per week in our London office)
- 1000 annual Learning & Development budget
- AXA Private Medical Insurance (including dental and optical)
- AIG Life Assurance and Employee Assistance Programme (EAP)
- Nest Pension scheme
- Cycle to Work scheme
- Regular socials lunch & learns and more
Seldon is an equal opportunity employer. We value diversity of backgrounds, perspectives and experiences and we’re committed to building an inclusive workplace where everyone can thrive.
Key Skills: Organizational Management, Presentation Skills, Agile, SAFe, AWS, Solution Architecture, Conflict Management, Data Management, Scrum, Team Management, Pre-sales, Management Consulting
Lead Solutions Architect (AIML Customer Success) employer: Seldon
Contact Detail:
Seldon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Solutions Architect (AIML Customer Success)
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or conferences related to AI and MLOps. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML and LLM systems. This is your chance to demonstrate your technical prowess and problem-solving abilities, making you stand out to potential employers.
✨Tip Number 3
Don’t just apply—engage! When you find a role that excites you, reach out to current employees on LinkedIn. Ask them about their experiences and insights into the company culture. This not only shows your interest but can also give you valuable information for interviews.
✨Tip Number 4
Leverage our website! At StudySmarter, we’ve got resources and tools to help you prepare for interviews. Use our platform to brush up on your knowledge of cloud-native technologies and ML systems, so you can walk into that interview with confidence.
We think you need these skills to ace Lead Solutions Architect (AIML Customer Success)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Lead Solutions Architect role. Highlight your experience with MLOps, Kubernetes, and customer-facing technical roles. We want to see how your skills align with our mission at Seldon!
Showcase Your Technical Skills: Don’t hold back on your technical expertise! Include specific examples of how you've designed and delivered scalable ML solutions. We love seeing hands-on experience, especially with Python and cloud-native technologies.
Demonstrate Your Customer Focus: As a Lead Solutions Architect, building relationships is key. Share instances where you’ve acted as a trusted advisor or led successful customer engagements. We’re looking for someone who can connect technical outcomes to business goals!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Seldon
✨Know Your Tech Inside Out
As a Lead Solutions Architect, you'll need to demonstrate a deep understanding of cloud-native technologies like Kubernetes and Docker. Brush up on your technical knowledge and be ready to discuss how you've successfully deployed ML or LLM systems in the past.
✨Showcase Your Customer Success Skills
This role is all about building relationships with customers. Prepare examples of how you've acted as a trusted advisor in previous roles, linking technical outcomes to business goals. Be ready to discuss how you’ve driven customer success and growth.
✨Prepare for Collaborative Scenarios
Collaboration is key in this position. Think of instances where you've worked cross-functionally with Sales, Product, and Engineering teams. Be prepared to share how you’ve influenced decisions and shaped best practices in your previous roles.
✨Craft Compelling Demos
You'll need to partner with Sales to design demos that resonate with clients. Practice presenting your solutions clearly and confidently, focusing on how they address customer challenges. Tailor your pitch to highlight the value propositions that matter most to potential clients.
