Lead Solutions Architect; AIML Customer Success

Position: Lead Solutions Architect (AIML Customer Success)
Location: Greater London

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,…