Deployed Architect, Professional Services (APAC)
At a glance
Mid-level role at LangChain. Remote, Singapore · full-time · SGD 185,000–SGD 260,000 base.
remoteroles summary, based on the employer's posting.
What you'll do
- Design cloud infrastructure for AI deployments, covering compute, storage, networking, security and enterprise connections
- Build agent systems with LangChain or LangGraph, then evaluate them and improve prompts through A/B tests
- Guide production rollout and operations for agent applications, including infrastructure automation and CI/CD
- Assess customers’ technical environments, learn their requirements and present implementation recommendations
- Work with engagement managers and product and engineering teams on customer deployments
What you bring
- At least seven years in hands-on technical roles that involve direct customer work, such as solutions architecture or forward-deployed engineering
- At least three years designing and deploying production infrastructure on GCP, AWS or Azure, with strong Kubernetes experience
- At least one year building production AI or ML applications, with experience using LLM frameworks and evaluating AI systems
- You have enterprise customer experience and can explain technical ideas to varied audiences
Who this fits
This role suits a hands-on architect who can work across cloud infrastructure, agent development and enterprise customer engagements. It is remote from Singapore and includes travel of up to a quarter of your time. The stated base salary is SGD 185,000 to SGD 260,000, plus equity.
From the employer
About Us
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Role:
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
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, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
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
Key Attributes:
Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
Experience working cross-functionally with engineering teams, product teams, and customers
Consultative approach with 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:
$185,000-$260,000 base salary + equity
Location:
Singapore
Remote with up to 25% travel
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
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