Solutions Architect (Austin)

Stack

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

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.