Senior AI Platform Architect - Production & Agent Systems

LangChain; Dallas (TX); On-site; USD 170,000 - 270,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) plan

In-office meals on US days

Job summary

LangChain is seeking a Deployed Architect to join our Professional Services team in Dallas, TX. You will design, deploy, and optimize production-grade AI infrastructure and agent systems for enterprise customers, spanning cloud infrastructure, Kubernetes, and agent development.

This role blends software development with infrastructure engineering and customer-facing work. You’ll work on scalable architectures, evaluation frameworks, and deployment patterns to deliver reliable AI solutions.

Qualifications

• 7+ years in technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer.
• 3+ years designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure).
• Strong Kubernetes experience with cluster design, autoscaling, multi-zone deployments.

Responsibilities

• Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security).
• Design multi-agent systems, frameworks, evaluation orgs, prompts optimization, deployment/operations guidance.
• Lead technical maturity assessments with enterprise customers and partner with cross-functional teams.

Skills

Kubernetes

Cloud platforms

CI/CD

Python/TypeScript

LLM frameworks

Prompt engineering

Vector stores / RAG

API design

Security & IAM

Observability

Tools

Terraform

Helm

GitOps

LangChain

LangGraph

Datadog

Prometheus

Grafana

Job description

LangChain is seeking a Deployed Architect to join our Professional Services team in Dallas, TX. You will design, deploy, and optimize production-grade AI infrastructure and agent systems for enterprise customers, spanning cloud infrastructure, Kubernetes, and agent development.

This role blends software development with infrastructure engineering and customer-facing work. You’ll work on scalable architectures, evaluation frameworks, and deployment patterns to deliver reliable AI solutions.