LangChain is seeking a Solutions Architect to join our Professional Services team in Austin, Texas. In this role, you'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems, combining deep technical expertise in infrastructure and agent engineering with strong customer-facing skills.
What You'll Do
- Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security)
- Design enterprise integration patterns
- Implement Infrastructure as Code using Terraform and Helm
- Design multi-region high-availability and disaster recovery strategies
- Build and manage CI/CD pipelines for infrastructure and applications
- Design multi-agent systems using different patterns
- Implement agent logic using modern frameworks such as langchain and langgraph
- Design comprehensive evaluation frameworks for AI applications
- Optimize prompts using A/B testing
- Guide deployment and operations of agent applications
- Lead technical maturity assessments for customers
- Work directly with enterprise customers to understand requirements and present technical recommendations
- Partner with Engagement Managers and internal Product/Engineering teams
What We're Looking For
- 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) 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
Nice to Have
- Unusual background such as former founder, provided all required skillsets are met
Technical Stack
Kubernetes, GKE, EKS, AKS, Terraform, Helm, GitOps, Prometheus, Grafana, Datadog, LangChain, LangGraph, Python, TypeScript, AWS, GCP, Azure, CI/CD, SSO, RBAC, TLS, secrets management, vector stores, RAG, relational databases, in-memory data stores
Team & Environment
You will be part of the Professional Services team, working in a collaborative environment with strong engineering culture. You’ll have the opportunity to shape best practices and directly impact customer success while working on advanced AI systems.
Benefits & Compensation
- Medical coverage
- Dental coverage
- Vision coverage
- Flexible vacation
- 401(k) plan
- Life insurance
- Locally competitive benefits for EU, UK, and APAC team members aligned with regional norms and regulations
Compensation includes a salary range of $170K to $190K, meaningful equity, and variable compensation for relevant roles.
Work Mode
This is a local-city role based in Austin, Texas. Candidates must be located in or willing to relocate to Austin.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
