Deployed Architect, Professional Services (Dallas)

Dallas, TX · USD 170,000-270,000 · 1+ years experience · Full-time · Remote · Posted Oct 9, 2026

At a glance

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.

The Deployed Architect will work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems.
This role combines software development, infrastructure engineering, and customer-facing responsibilities to solve complex business problems using LangChain's platform.

Design scalable, highly-available infrastructure for AI platform deployments including compute, storage, networking, and security.
Implement Infrastructure as Code using Terraform and Helm.
Develop multi-region HA/DR strategies and CI/CD pipelines.
Design multi-agent systems using patterns and modern frameworks like LangChain and LangGraph.
Implement agent logic and design comprehensive evaluation frameworks.
Optimize prompts with A/B testing and guide deployment/operations.
Lead technical maturity assessments for enterprise customers.
Partner with Engagement Managers and internal Product/Engineering teams to present recommendations.

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 including cluster design, autoscaling, and multi-zone deployments.
Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices.
Knowledge of database systems including HA, replication, backup strategies, and sizing.
Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog).
1+ years of experience building production AI/ML applications or agents.
Strong experience with LLM frameworks (LangChain, LangGraph, or similar).
Strong Python and/or TypeScript development skills.
Customer-facing experience with enterprise customers.

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