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Salary: USD 170,000 - 215,000 / annual
LangChain is seeking a Deployed Architect to join the Professional Services team. You will work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. This role combines software development, infrastructure/platform engineering, and customer-facing skills, requiring deep technical expertise across both domains.
Key responsibilities include:
Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments covering compute, storage, networking, and security. Implement 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.
You'll have direct impact on customer success, shape best practices, and work with cutting-edge AI technology in a collaborative engineering culture. Travel up to 20% of the time is expected.
REQUIREMENTS:
General: 7+ years of experience in technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. Unusual backgrounds (e.g., former founders) welcome if you have the right skillsets.
Infrastructure & Platform: 3+ years 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, in-memory) 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.
Agent Engineering & Development: 1+ years 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 optimization and A/B testing experience. 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: Enterprise customer experience. Experience conducting technical assessments or infrastructure audits. Strong communication skills explaining technical concepts to diverse audiences.
Key Attributes: Strong problem-solving and analytical skills. Excellent customer-facing communication. Cross-functional collaboration experience. Consultative approach to understanding customer needs. Ability to balance infrastructure architecture with agent development. Strong engineering background with hands-on development experience.
About LangChain
AI / Data / Infrastructure — developer platform and framework for building LLM applications and agents.
