Lead Solutions Architect (AI/ML Customer Success), Seldon
Offers share options
2 days a week in office
Development tools to optimise machine learning
Open for applications
Development tools to optimise machine learning
21-100 employees
Open for applications
Offers share options
2 days a week in office
21-100 employees
Company mission
To accelerate the adoption of ML to improve business performance and manage risk.
Role
Who you are
- 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
- 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
Desirable
- 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
What the job involves
- 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 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
- 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
- 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
- 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
- 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
- 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
Salary benchmarks
Our take
In the modern world, businesses are looking toward machine learning to help them make better decisions, but in-house data scientists are expensive and in short supply. Seldon has created an open-source machine learning platform that businesses can use to analyse their data, helping make the power of machine learning accessible to more than just the big corporations.
The company’s flagship open-source project, Seldon Core, has over 700,000 models deployed, drastically reducing friction for users deploying ML models. Seldon is partnered with industry leaders such as AWS, Google, and IBM, and its customers include several other Fortune 100 and FTSE 100 companies such as Johnson & Johnson, CapitalOne and Ford.
Seldon is now building a dedicated team from scratch in the US and focusing on hiring across its sales teams to obtain more customers and grow its revenue. It is banking on the importance of machine learning for the future of real-world business, and with a key objective being to ‘democratise’ access to AI’s benefits beyond big tech companies, Seldon's potential is huge.
Freddie
Company Specialist at Welcome to the Jungle
Insights
35% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Mar 2023
$20m
SERIES B
Nov 2020
$9.5m
SERIES A
Total funding: $33.9m
Company benefits
- Flexible hybrid working
- 28 days annual leave & flexible bank holidays
- Stock options
- £1000 learning & development budget
- Healthcare / Cash plan
- Enhanced parental leave
- Seldon socials
- Access to discounts, treats, and resources on everything from a morning Coffee to the gym
Company HQ
London, UK
Leadership
Alex Housley
(Founder & Chief Product & Technology Officer)A graduate of City, University of London, Alex was VP Business then COO at Ruumble Labs before founding Seldon in 2014.
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