Deployed Architect, Professional Services (San Francisco)

LangChain; San Francisco (CA); On-site; USD 170,000 - 215,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401(k)

Meals on in-office days

Job summary

LangChain in San Francisco is seeking a Deployed Architect to join our Professional Services team. You will design, deploy, and optimize production-grade AI infrastructure and agent systems for enterprise customers, combining software development with platform engineering and direct customer interaction.

This role requires deep expertise across Kubernetes, cloud infra, and AI/agent engineering, with a strong track record in delivering scalable, secure solutions and collaborating with

Qualifications

• 7+ years in a technical, hands-on, customer-facing role (Solutions Architect/Forward Deployed Engineer).
• 3+ years deploying production infrastructure on cloud platforms (GCP, AWS, or Azure).
• Strong Kubernetes experience including cluster design and multi-zone deployments.
• Experience with Infrastructure as Code (Terraform, Helm) and GitOps.
• Knowledge of databases (HA, replication, backups, sizing).
• Experience designing high-availability and disaster recovery solutions.
• Strong networking, security (SSO/RBAC, TLS, secrets), and observability (Prometheus, Grafana, Datadog).
• Experience with CI/CD pipelines for infrastructure and applications.
• 1+ years building production AI/ML apps or agents; strong LangChain/LangGraph experience.
• Experience with vector stores, RAG patterns, and knowledge organization.

Responsibilities

• Infrastructure & Platform Engineering: design scalable, highly-available infra for AI deployments, IaC, multi-region HA/DR, and CI/CD pipelines.
• Agent Engineering & Development: design multi-agent systems, implement agent logic using LangChain/LangGraph, evaluate frameworks, optimize prompts and deployments.
• Customer Engagement & Assessment: lead technical maturity assessments with enterprise customers and partner with engagement managers and product/engineering teams.

Skills

Kubernetes

Terraform

Helm

CI/CD

LangChain

LangGraph

Python

TypeScript

Observability

RAG

Vector stores

Networking

Security

Tools

GKE

EKS

AKS

Prometheus

Grafana

Datadog

Job description

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

Required Experience

7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you

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

Location: San Francisco

Compensation: $170,000-$215,000 base salary + equity

Compensation Philosophy:

We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. 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.