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· Architect
Solutions Architect (Remote)
Solution / Enterprise Architect
• Architect
• Remote
• Vollzeit
•
EU/EMEA
LangChain's Professional Services team is hiring a Solutions Architect to work directly with enterprise customers designing, deploying, and optimizing production-grade AI infrastructure and agent systems, spanning infrastructure architecture through multi-agent system design.
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
Requirements
- ▹7+ years of experience in a technical, hands-on, customer-facing role 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)
- ▹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
Soft skills
Strong problem-solving skills with ability to analyze complex requirements and design elegant solutionsExcellent customer-facing communication skillsExperience working cross-functionally with engineering, product, and customer teamsConsultative approach: understanding needs, providing recommendations, guiding implementationAbility to balance infrastructure architecture with agent development workStrong engineering background with hands-on development experience
What we offer
- ▹Competitive base salary, variable compensation for relevant roles, meaningful equity
- ▹Medical, dental, and vision coverage
- ▹Flexible vacation
- ▹401(k) plan
- ▹Meals on in-office days (US)
About the company
LangChain's mission is to make intelligent agents ubiquitous, building open-source frameworks (LangChain, LangGraph, Deep Agents) and the LangSmith platform for building, evaluating, and operating agents. It has raised $125M at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, with 100M+ monthly open-source downloads and 6,000+ active LangSmith customers, including 5 of the Fortune 10.
Languages: Angol: Felsőfok
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