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- Tasks: Design and optimise AI infrastructure while collaborating with enterprise customers.
- Company: Join LangChain, a leader in AI agent technology with a vibrant culture.
- Benefits: Competitive salary, equity, flexible vacation, and comprehensive health coverage.
- Why this job: Make a real impact in the AI space and shape future technologies.
- Qualifications: 7+ years in technical roles, strong cloud and Kubernetes experience required.
- Other info: Dynamic team environment with opportunities for growth and innovation.
The predicted salary is between 54000 - 84000 £ per year.
About Us: At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
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.
What You Will Do:
- 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 You Will Bring:
- 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer.
- 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.
- 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 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.
Compensation & Benefits: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Location: UK, London Remote with up to 25% travel.
Solutions Architect (London) employer: Langchain
Contact Detail:
Langchain Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect (London)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and infrastructure. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to Solutions Architect roles. Think about how you’d tackle real-world problems using your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Solutions Architect (London)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Solutions Architect role. Highlight your experience with AI infrastructure and customer engagement, as these are key aspects of what we’re looking for.
Showcase Your Technical Skills: Don’t hold back on detailing your technical expertise! We want to see your experience with Kubernetes, cloud platforms, and AI/ML applications. Use specific examples to demonstrate how you’ve tackled similar challenges in the past.
Be Personable: Remember, we’re not just looking for a tech whiz; we want someone who can communicate effectively with customers. Share experiences where you’ve successfully engaged with clients or led technical assessments.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at Langchain
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Kubernetes, Terraform, and AI frameworks like LangChain. Brush up on your cloud platform knowledge (GCP, AWS, Azure) and be ready to discuss your hands-on experience with these tools.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex technical challenges. Think about how you designed scalable infrastructure or optimised agent systems in previous roles. This will demonstrate your ability to analyse requirements and deliver elegant solutions.
✨Engage with Customer Scenarios
Since this role involves customer engagement, be ready to talk about your experience working with enterprise clients. Prepare to share how you’ve conducted technical assessments or audits, and how you’ve communicated complex concepts to non-technical stakeholders.
✨Practice Your Communication Skills
Strong communication is key for this position. Practice explaining technical concepts in simple terms, as you’ll need to convey ideas to diverse audiences. Consider doing mock interviews with friends or colleagues to refine your delivery and ensure clarity.