Solutions Architect, AI Agents
Overview
You will architect production-grade AI infrastructure and agent systems for enterprise customers from day one. Over 35% of the Fortune 500 runs LangSmith in production, and you will design scalable, secure deployments on Kubernetes and GCP or AWS. You will join the Professional Services team, working directly with customers like Klarna and Nvidia to build reliable, well-evaluated agent applications. This role blends software development, infrastructure engineering, and customer-facing skills. You will shape best practices on cutting-edge LangChain technology.
What You'll Do9
- 1Design scalable, highly-available infrastructure for AI platform deployments, including compute, storage, networking, and security, using Terraform and Helm.
- 2Build multi-region HA/DR strategies and CI/CD pipelines for infrastructure and applications, ensuring production-grade reliability.
- 3Architect multi-agent systems using LangGraph and LangChain, implementing agent logic and state management patterns.
- 4Design comprehensive evaluation frameworks for AI applications, optimizing prompts with A/B testing and monitoring performance.
- 5Lead technical maturity assessments with enterprise customers, understanding requirements and presenting recommendations.
- 6Partner with Engagement Managers and Product/Engineering teams to guide deployments and operations.
- 7Integrate vector stores and RAG patterns to organize knowledge and enhance agent accuracy.
- 8Ensure security compliance with SSO/RBAC, TLS, and secrets management across all deployments.
- 9Develop with Python and/or TypeScript to build robust agent applications and tool integrations.
Requirements10
- 17+ years in hands-on customer-facing roles like Solutions Architect or Forward Deployed Engineer.
- 23+ years designing and deploying production infrastructure on GCP, AWS, or Azure.
- 3Strong Kubernetes experience with GKE, EKS, or AKS, including cluster design, autoscaling, and multi-zone deployments.
- 4Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices.
- 5Knowledge of database systems, including relational and in-memory stores, with HA, replication, backup, and sizing.
- 6Experience designing high-availability and disaster recovery solutions.
- 7Strong networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) knowledge.
- 81+ years building production AI/ML applications or agents, with strong experience in LangChain or LangGraph.
- 9Experience with prompt engineering, evaluation frameworks, and A/B testing.
- 10Strong Python and/or TypeScript development skills.
Salary Insight
Salary not disclosed in listing
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