AI Platform Architect for Production Deployments (Remote)

LangChain; Los Angeles (CA); Remote; USD 170,000 - 215,000; Full time

Benefits offered by this job

Medical, Dental, Vision coverage

401(k) plan

Meals on in-office days (US)

Job summary

LangChain is seeking a Deployed Architect to design, deploy, and optimize production-grade AI infrastructure for enterprise customers. You will architect scalable, secure deployments and develop reliable agent applications that solve real business problems.

The role blends software development, infrastructure engineering, and customer-facing work, spanning Kubernetes design to multi-agent system architectures with deep expertise in both domains.

Qualifications

• 7+ years in technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer.
• Cloud design and deployment for production infra on GCP, AWS, or Azure.
• Kubernetes cluster design, autoscaling, multi-zone deployments.
• Infrastructure as Code and GitOps practices.
• High availability and DR planning, secure networking and observability.
• Production AI/ML/agent development experience with LangChain/LangGraph.

Responsibilities

• Design scalable AI infrastructure and multi-agent systems for enterprise deployments.
• Lead technical maturity assessments and present recommendations to customers.
• Collaborate with engineering, product, and engagement teams to ensure success.

Skills

Kubernetes

Terraform

Helm

GitOps

Cloud platforms

LangChain

LangGraph

Python

TypeScript

LLM frameworks

Education

Experience with enterprise deployments

Tools

Prometheus

Grafana

Datadog

Terraform

Helm

Job description

LangChain is seeking a Deployed Architect to design, deploy, and optimize production-grade AI infrastructure for enterprise customers. You will architect scalable, secure deployments and develop reliable agent applications that solve real business problems.

The role blends software development, infrastructure engineering, and customer-facing work, spanning Kubernetes design to multi-agent system architectures with deep expertise in both domains.