Deployed Architect, Professional Services (Dallas)

LangChain; Dallas (TX); Sur place; USD 170 000 - 270 000; Plein temps

Avantages offerts par ce poste

Medical, dental, and vision coverage

401(k) plan

In-office meals on US days

Résumé du poste

LangChain is seeking a Deployed Architect to join our Professional Services team in Dallas, TX. You will design, deploy, and optimize production-grade AI infrastructure and agent systems for enterprise customers, spanning cloud infrastructure, Kubernetes, and agent development.

This role blends software development with infrastructure engineering and customer-facing work. You’ll work on scalable architectures, evaluation frameworks, and deployment patterns to deliver reliable AI solutions.

Qualifications

• 7+ years in technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer.
• 3+ years designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure).
• Strong Kubernetes experience with cluster design, autoscaling, multi-zone deployments.

Responsabilités

• Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security).
• Design multi-agent systems, frameworks, evaluation orgs, prompts optimization, deployment/operations guidance.
• Lead technical maturity assessments with enterprise customers and partner with cross-functional teams.

Connaissances

Kubernetes

Cloud platforms

CI/CD

Python/TypeScript

LLM frameworks

Prompt engineering

Vector stores / RAG

API design

Security & IAM

Observability

Outils

Terraform

Helm

GitOps

LangChain

LangGraph

Datadog

Prometheus

Grafana

Description du poste

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 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

• Willing to travel up to 20% of the time

Location: Dallas, TX

Compensation: $170,000-$270,000 base salary + equity

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.