# Solutions Architect

**Company:** [LangChain](https://hotfix.jobs/companies/langchain)
**Location:** Remote
**Role:** Solutions Architecture
**Experience:** 7+ years
**Skills:** Kubernetes, Terraform, Helm, GitOps, GCP, AWS, Azure, LangChain, LangGraph, Python, TypeScript, Prometheus, Grafana, Datadog, RAG
**Posted:** 2026-04-14

> Designs and deploys production-grade AI infrastructure and agent systems for enterprise customers. The role combines cloud and Kubernetes architecture, agent development, technical assessments, and customer-facing implementation guidance.

## Job Description

## Responsibilities

### Infrastructure & Platform Engineering
- Design scalable, highly available infrastructure for AI platform deployments, including compute, storage, networking, and security.
- Develop enterprise integration patterns, Infrastructure as Code using Terraform and Helm, multi-region high-availability and disaster-recovery strategies, and CI/CD pipelines.

### Agent Engineering & Development
- Design multi-agent systems using different patterns.
- Implement agent logic using modern frameworks such as LangChain and LangGraph.
- Design comprehensive evaluation frameworks.
- Optimize prompts through A/B testing.
- Guide deployment and operations.

### Customer Engagement & Assessment
- Lead technical maturity assessments.
- Work directly with enterprise customers to understand requirements and present recommendations.
- Partner with Engagement Managers and Product and Engineering teams.

## Requirements

### Experience
- 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 cloud platforms such as GCP, AWS, or Azure.
- 1+ years of experience building production AI/ML applications or agents.
- Customer-facing experience with enterprise customers.
- Experience conducting technical assessments or infrastructure audits.

### Infrastructure & Platform
- Strong Kubernetes experience, including cluster design, autoscaling, and multi-zone deployments.
- Experience with Infrastructure as Code using Terraform and Helm, as well as GitOps practices.
- Knowledge of relational databases and in-memory data stores, including high availability, replication, backup strategies, and sizing.
- Experience designing high-availability and disaster-recovery solutions.
- Strong understanding of networking, security—including SSO/RBAC, TLS, and secrets management—and observability.
- Experience with CI/CD pipelines for infrastructure and applications.

### Agent Engineering
- Strong experience with LLM frameworks such as LangChain, LangGraph, or similar frameworks for building agent-based applications.
- Experience with state-management patterns, including short-term and long-term memory.
- Experience designing and implementing evaluation frameworks for AI applications.
- Strong prompt-engineering skills, including optimization and A/B testing.
- Experience with vector stores, retrieval-augmented generation (RAG) patterns, and knowledge organization.
- Experience with tool integration, API design, and error-handling patterns.
- Strong Python and/or TypeScript development skills.

### Customer-Facing and Collaboration
- Strong communication skills and the ability to explain technical concepts to diverse audiences.
- Strong problem-solving skills and the ability to analyze complex requirements and design elegant solutions.
- Experience working cross-functionally with engineering teams, product teams, and customers.
- A consultative approach with the ability to understand customer needs, provide recommendations, and guide implementation.
- Ability to balance infrastructure architecture with agent development work.
- Strong engineering background with hands-on development experience.

## Compensation & Benefits

- Compensation is based on experience and location.
- The role includes base salary, variable compensation where relevant, meaningful equity, benefits, and perks; actual offerings vary by role, level, and location.
- Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
- Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and meals on in-office days in the US.

## Work Arrangement

- Remote, based in London, UK, with up to 25% travel.

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