LangChain04/15/2026
Архитектор решений (Лондон)
Salary not specified
MARKET
15,349 ₽median for this role
Solution Architect · 48 jobs with disclosed pay
5,600half of the offers: 14,999–18,25823,987
The employer didn't disclose pay — compare with the market yourself.
Полная занятостьУдалёнка
Responsibilities
- 01Design 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
- 02Design 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
- 03Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
Requirements
- 017+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer
- 023+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
- 03Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
- 04Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
- 05Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
- 06Experience designing high-availability and disaster recovery solutions
- 07Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
- 08Experience with CI/CD pipelines for infrastructure and applications
- 091+ years of experience building production AI/ML applications or agents
- 10Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
- 11Experience with state management patterns (short-term and long-term memory)
- 12Experience designing and implementing evaluation frameworks for AI applications
- 13Strong prompt engineering skills with experience in optimization and A/B testing
- 14Experience with vector stores, RAG patterns, and knowledge organization
- 15Experience with tool integration, API design, and error handling patterns
- 16Strong Python and/or TypeScript development skills
- 17Customer-facing experience with enterprise customers
- 18Experience conducting technical assessments or infrastructure audits
- 19Strong communication skills with ability to explain technical concepts to diverse audiences
What we offer
- 01Based on experience and location
- 02UK, London
- 03Remote with up to 25% travel
- 04Competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks