Solution Architect

🕒 March 13

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 70%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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LangChain

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 $25M Series A on 2024-02

Artificial Intelligence • B2B • SaaS

LangChain is a composable framework designed to assist developers throughout the entire lifecycle of Large Language Model (LLM) applications. Their suite of products, including LangGraph and LangSmith, offers tools for building, deploying, and managing applications that can reason and operate at scale. With a focus on operational efficiency and improved performance, LangChain supports a wide range of industries through its innovative offerings.

📋 Description

• Design scalable, highly available infrastructure for AI platform deployments, including compute, storage, networking, and security • Design enterprise integration patterns • Implement Infrastructure as Code with Terraform and Helm • Develop multi-region high-availability and disaster-recovery strategies • Design and maintain CI/CD pipelines • Design multi-agent systems using different patterns • Implement agent logic using LangChain and LangGraph • Design comprehensive evaluation frameworks for AI applications • Optimize prompts with A/B testing • Guide agent deployment and operations • Lead technical maturity assessments • Work directly with enterprise customers to understand requirements and present recommendations • Partner with Engagement Managers and Product/Engineering teams • Help customers deploy and optimize production-grade AI infrastructure and agent systems

🎯 Requirements

• 7+ years of experience in technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer • 3+ years of experience designing and deploying production infrastructure on GCP, AWS, or Azure • Strong Kubernetes experience, including cluster design, autoscaling, and multi-zone deployments • Experience with Infrastructure as Code using Terraform and Helm • Experience with GitOps practices • Knowledge of relational databases and in-memory data stores, including HA, replication, backup strategies, and sizing • Experience designing high-availability and disaster recovery solutions • Strong understanding of networking and security, including SSO/RBAC, TLS, and secrets management • Knowledge of observability tools including Prometheus, Grafana, and 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 such as LangChain and LangGraph • Experience with short-term and long-term memory state management patterns • Experience designing and implementing evaluation frameworks for AI applications • Strong prompt engineering skills, including 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 and ability to explain technical concepts to diverse audiences • Strong problem-solving skills • Experience working cross-functionally with engineering teams, product teams, and customers • Consultative approach to understanding customer needs, providing recommendations, and guiding implementation • Ability to balance infrastructure architecture with agent development work • Strong engineering background with hands-on development experience

🏖️ Benefits

• Base salary, variable compensation, meaningful equity, benefits, and perks • Medical coverage • Dental coverage • Vision coverage • Flexible vacation • 401(k) plan • Meals on in-office days in the US

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