Solutions Architect (APAC)

LangChain, Inc.

Job Overview

Location

Singapore

Job Type

Full-time

Full Job Description

📋 Description

• Design, deploy, and optimize production-grade AI infrastructure and agent systems for enterprise customers across APAC, ensuring scalability, security, and high availability.
• Architect cloud-based infrastructure on GCP, AWS, or Azure using Kubernetes (GKE, EKS, AKS) with multi-zone deployments, autoscaling, and disaster recovery strategies.
• Implement Infrastructure as Code (IaC) using Terraform and Helm, and enforce GitOps practices for infrastructure and application deployments.
• Design and build multi-agent systems using LangChain, LangGraph, or similar frameworks, incorporating state management patterns for short-term and long-term memory.
• Develop comprehensive evaluation frameworks for AI agents, including A/B testing of prompts, metric-based performance tracking, and reliability validation.
• Implement RAG (Retrieval-Augmented Generation) patterns, vector store integrations, and knowledge organization systems to enhance agent accuracy and context awareness.
• Integrate AI agents with enterprise APIs, tools, and systems, ensuring robust error handling, authentication, and secure data flow.
• Lead technical maturity assessments and infrastructure audits for enterprise clients, translating business requirements into technical architectures.
• Partner with Engagement Managers, Product, and Engineering teams to align customer solutions with platform capabilities and roadmap priorities.
• Present technical recommendations to diverse audiences, including executives, engineers, and operations teams, using clear, non-technical language where needed.
• Configure and manage CI/CD pipelines for both infrastructure and agent applications, ensuring automated testing, deployment, and rollback capabilities.
• Apply strong security practices including SSO/RBAC, TLS encryption, secrets management, and compliance with enterprise security standards.
• Utilize observability tools such as Prometheus, Grafana, and Datadog to monitor system performance, detect anomalies, and optimize resource usage.
• Maintain deep hands-on development skills in Python and/or TypeScript to prototype, debug, and customize agent logic and infrastructure components.
• Drive best practices in agent engineering by documenting patterns, sharing learnings internally, and influencing product improvements based on customer feedback.
• Work directly with Fortune 500 clients including Coinbase, Workday, Lyft, Cloudflare, and LinkedIn to deliver production-ready AI agent solutions.
• Balance technical architecture design with hands-on development, ensuring solutions are both scalable and implementable within customer environments.
• Contribute to the evolution of LangSmith and open-source frameworks (LangChain, LangGraph) through real-world deployment insights and feedback.

🎯 Requirements

• 7+ years of experience in technical, customer-facing roles such as Solutions Architect or Forward Deployed Engineer
• 3+ years designing and deploying production infrastructure on GCP, AWS, or Azure with Kubernetes, IaC (Terraform/Helm), and GitOps
• 1+ years building production AI/ML applications or agents using LangChain, LangGraph, or similar frameworks with experience in RAG, vector stores, and evaluation frameworks
• Strong Python and/or TypeScript development skills
• Proven experience conducting technical assessments and engaging enterprise customers in APAC
• Strong communication skills to explain complex technical concepts to non-technical stakeholders

🏖️ Benefits

• Medical, dental, and vision coverage
• Flexible vacation policy
• 401(k) plan
• Meals on in-office days in the US

Skills & Technologies

Python

TypeScript

AWS

Azure

GCP

Senior

Onsite

Ready to Apply?

Apply Externally

You will be redirected to an external site to apply.

LangChain, Inc.

Visit Website

About LangChain, Inc.

LangChain, Inc. provides open-source software libraries and cloud services for building applications that integrate large language models with external data sources and workflows. Its tools help developers create retrieval-augmented generation systems, manage prompts, chain model calls, and monitor performance in production environments. The company was founded in 2023 and is headquartered in San Francisco, California.

View Company Profile

Get more remote jobs like this

Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.

Weekly remote jobs and featured talent.

No spam. Only curated remote roles and product updates. You can unsubscribe anytime.