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For Companies At a Glance
- Tasks: Design and optimise AI infrastructure while engaging with enterprise customers.
- Company: Join a forward-thinking tech company focused on cutting-edge AI solutions.
- Benefits: Competitive salary, equity, health benefits, flexible vacation, and 401(k) plan.
- Why this job: Make a real impact in AI technology and customer success.
- Qualifications: 7+ years in technical roles, strong Kubernetes and AI application experience.
- Other info: Remote work with occasional travel and excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
About The Role
We are looking for a Solutions Architect to join our Professional Services team. You will work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You will be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You will work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You will join a collaborative team environment with a strong engineering culture.
Key Responsibilities
- Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines.
- Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations.
- Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams.
What We Are Looking For
- 7+ years of experience in a technical, hands-on customer-facing role such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have a background but all the right skill sets, you are welcome to apply.
- Infrastructure & Platform: 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure).
- Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments.
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices.
- Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing.
- Experience designing high-availability and disaster recovery solutions.
- Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog).
- Experience with CI/CD pipelines for infrastructure and applications.
- Agent Engineering & Development: 1+ years of experience building production AI/ML applications or agents.
- Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications.
- Experience with state management patterns (short-term and long-term memory).
- Experience designing and implementing evaluation frameworks for AI applications.
- Strong prompt engineering skills with experience in optimization and A/B testing.
- Experience with vector stores, RAG patterns, and knowledge organization.
- Experience with tool integration, API design, and error handling patterns.
- Strong Python and/or TypeScript development skills.
- Customer-Facing: Customer-facing experience with enterprise customers.
- Experience conducting technical assessments or infrastructure audits.
- Strong communication skills with ability to explain technical concepts to diverse audiences.
Key Attributes
- Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions.
- Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences.
- Experience working cross-functionally with engineering teams, product teams, and customers.
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation.
- Ability to balance infrastructure architecture with agent development work.
- Strong engineering background with hands-on development experience.
Location
Europe (UK, Netherlands preferred). Remote with up to 25% travel.
Compensation
We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location.
Solutions Architect in London employer: Langchain
Contact Detail:
Langchain Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Solutions Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving AI infrastructure and agent systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and customer engagement skills. Be ready to discuss your experience with Kubernetes, Infrastructure as Code, and how you've solved real business problems in the past.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Solutions Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Solutions Architect role. Highlight your experience with cloud platforms, Kubernetes, and AI/ML applications. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Don’t forget to mention any customer-facing experience you've had!
Showcase Your Technical Skills: In your application, be sure to showcase your technical expertise. Mention specific projects where you've designed scalable infrastructure or built agent-based applications. We love seeing real-world examples of your work!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Langchain
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially around Kubernetes, Infrastructure as Code, and AI/ML applications. Be ready to discuss specific projects where you've designed scalable infrastructure or built agent-based applications. This will show that you not only understand the theory but have practical experience too.
✨Showcase Your Customer Engagement Skills
Since this role involves working directly with enterprise customers, prepare examples of how you've successfully engaged with clients in the past. Think about times when you led technical assessments or explained complex concepts to non-technical audiences. This will highlight your ability to communicate effectively and build relationships.
✨Demonstrate Problem-Solving Abilities
Be ready to tackle hypothetical scenarios during the interview. Practice articulating your thought process when faced with complex requirements or challenges. This will help the interviewers see your analytical skills and how you approach problem-solving in real-world situations.
✨Prepare Questions That Matter
Interviews are a two-way street, so come prepared with insightful questions about the company's engineering culture, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
