TL;DR
Solutions Architect (AI): Designing, deploying, and optimizing production-grade AI infrastructure and agent systems with an accent on scalable, secure infrastructure deployments and reliable, well-evaluated agent applications. Focus on Kubernetes cluster design and multi-agent system architecture.
Location: New York City
Salary: $170K to $190K
Company
LangChain is building the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on.
What you will do
- Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security).
- Design multi-agent systems using different patterns and implement agent logic using modern frameworks.
- Lead technical maturity assessments and work directly with enterprise customers to understand requirements and present recommendations.
- Design enterprise integration patterns and CI/CD pipelines.
- Optimize prompts with A/B testing, and guide deployment/operations.
Requirements
- 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 (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments.
- 1+ years of experience building production AI/ML applications or agents.
- Customer-facing experience with enterprise customers and strong communication skills.
Culture & Benefits
- Competitive compensation that includes base salary, variable compensation, meaningful equity, benefits, and perks.
- Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance.
- Team members in the EU, UK, and APAC receive locally competitive benefits.