# Solutions Architect (NYC)

**Company:** [LangChain](https://hotfix.jobs/companies/langchain)
**Location:** New York, NY
**Role:** Solutions Architecture
**Salary:** $170k – $190k/yr
**Experience:** 7+ years
**Skills:** Kubernetes, Terraform, Helm, GCP, AWS, Azure, LangChain, LangGraph, Python, TypeScript, Prometheus, Grafana, Datadog, RAG, GitOps
**Posted:** 2026-03-12

> Solutions Architect designs and deploys scalable AI infrastructure and multi-agent systems for enterprise customers, combining platform engineering, agent development, and customer engagement. Requires 7+ years experience with Kubernetes, cloud platforms, and LLM frameworks.

## Job Description

## Key Responsibilities

### Infrastructure & Platform Engineering
- Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (**Terraform**, **Helm**), multi-region HA/DR strategies, and CI/CD pipelines

### Agent Engineering & Development
- Design multi-agent systems using different patterns, implement agent logic using modern frameworks (**langchain/langgraph**), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations

### Customer Engagement & Assessment
- Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams

## What We're Looking For

### Required Experience
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer.

**Infrastructure & Platform:**
- 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
- Experience with Infrastructure as Code (**Terraform**, **Helm**) and GitOps practices
- Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
- Experience designing high-availability and disaster recovery solutions
- Strong understanding of networking, security (**SSO/RBAC**, **TLS**, secrets management), and observability (**Prometheus**, **Grafana**, **Datadog**)
- Experience with CI/CD pipelines for infrastructure and applications

**Agent Engineering & Development:**
- 1+ years of experience building production AI/ML applications or agents
- Strong experience with LLM frameworks (**LangChain**, **LangGraph**, or similar) for building agent-based applications
- Experience with state management patterns (short-term and long-term memory)
- Experience designing and implementing evaluation frameworks for AI applications
- Strong prompt engineering skills with experience in 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:**
- Customer-facing experience with enterprise customers
- Experience conducting technical assessments or infrastructure audits
- Strong communication skills with ability to explain technical concepts to diverse audiences

## Compensation
**$170K to $190K** base salary, plus variable compensation, equity, and benefits.

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