--- title: 'Deployed Architect, Professional Services (Austin) at LangChain' canonical: 'https://feeny.ai/job/deployed-architect-professional-services-austin-langchain-austin-7zhmhv4xqsgb' type: 'job' last_seen: '2026-09-10' --- # Deployed Architect, Professional Services (Austin) at LangChain - **Company:** [LangChain](https://feeny.ai/companies/langchain) - **Location:** Austin, TX - **Compensation:** $170k–$190k - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-09-04 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/langchain/da7cbabd-ceed-4d7d-ae25-f226cac0c1c1/application **Skills:** Cloud Platforms, Kubernetes, Terraform, Helm, GitOps, Database Systems, Networking, Security, CI/CD, LLM Frameworks, LangChain, LangGraph, Python, TypeScript > The Solutions Architect designs and deploys production-grade AI infrastructure and agent systems for enterprise customers. This role involves architecting scalable, secure cloud infrastructure, building multi-agent applications using LangChain and LangGraph, and leading technical assessments to solve real business p... ## 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 ## 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: Austin, Texas 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. ## About LangChain ## Company Overview - **One-liner**: LangChain provides an agent engineering platform and open source frameworks that help developers build, evaluate, deploy, and operate reliable AI agents at scale. - **Entity Type**: Private (Series B, unicorn) - **Headquarters**: San Francisco, California, United States (with offices in New York, Boston, and Amsterdam) - **Founded**: Early 2023 - **Founders**: Harrison Chase and Ankush Gola ## Core Business - **Primary industry/industries**: Artificial Intelligence, Developer Tools, Agent Engineering - **Target customers**: B2B – developers and engineering teams at enterprises (35% of Fortune 500 are customers) and startups - **Mission or purpose statement**: “Make intelligent agents ubiquitous” – develop tools that make it easy to build reliable agents that can use data and take actions. ## Products & Services - **[LangSmith](https://www.langchain.com/)**: Commercial agent engineering platform offering observability, evaluation (LLM-as-judge, human feedback), and deployment. Includes LangSmith Engine for automated issue detection and root cause analysis. Supports Python, TypeScript, Go, and Java SDKs. - **[LangGraph](https://www.langchain.com/)**: Open source framework for building production agents with low-level control, durable checkpointing, and support for human-in-the-loop, multi-agent swarms, and A2A/MCP protocols. - **[LangChain](https://www.langchain.com/)**: Original open source framework for building agents quickly with templates and any model provider. - **[Deep Agents](https://www.langchain.com/)**: Agent harness for autonomous, long-horizon tasks with built-in memory and concurrency. - **[Fleet](https://www.langchain.com/)**: No-code agent builder that lets non-technical users describe tasks in plain language; agents act across daily tools with enterprise security. ## Market Standing - **Valuation/Market Cap**: $1.25 billion (unicorn status, per November 2025 Series B round) - **Key Metric**: Total Funding – $160 million (Seed: $10M led by Benchmark; Series A: $25M led by Sequoia Capital; Series B: $125M led by IVP). Annual Revenue (LinkedIn estimate): $8.5 million. - **Notable Investors/Partners**: IVP (lead Series B), Benchmark (lead Seed), Sequoia Capital (lead Series A). Customers include Zip, Vanta, Klarna, Workday, LinkedIn, Cloudflare. - **Growth Signals**: - Headcount: 212 employees (+264.8% YoY, +9.9% monthly) - 1 billion+ monthly open source downloads - 1 billion+ events ingested per day on LangSmith - 35% of Fortune 10 are LangSmith customers - 6,000+ active LangSmith customers - Awards: Forbes AI 50, InfraRed 100, IA40, Enterprise Tech 30 - Active job postings: 123 (monthly +4.2%, yearly +668.8%) ## Competitive Advantages - **Open source ecosystem**: LangChain and LangGraph are the most popular open source frameworks for building LLM agents, with a massive community (100M+ monthly downloads) that drives adoption and talent. - **Full lifecycle platform**: Covers building (open source frameworks), evaluating (LangSmith), deploying (agent server), and operating (LangSmith Engine) – a vertically integrated solution. - **Framework-agnostic**: LangSmith works with any agent stack (OpenAI, Anthropic, etc.) via SDKs, reducing vendor lock-in. - **Enterprise trust**: Already embedded in Fortune 500 companies; strong security and compliance features for production AI. ## Strategic Focus - **Agent reliability**: Investing heavily in evaluation and observability to make agents “reliably good” – the hardest problem in production AI. - **Long-horizon autonomy**: Deep Agents and Fleet target autonomous, multi-step tasks that require memory and human collaboration. - **Global expansion**: Offices in US, Europe, and India; hiring across sales, engineering, and customer success to serve a growing international customer base. ## Why Work Here - **Culture**: Fast-moving, open source–first startup with a mission to shape how the world uses AI. Described as hiring “the best in the business” with a focus on engineering excellence. - **Work policy**: Hybrid/office presence in San Francisco, New York, Boston, and Amsterdam. Remote roles may exist (not explicitly stated, but global hiring suggests flexibility). - **Notable perks/engineering culture**: - Work on cutting-edge agent technology used by millions of developers. - High autonomy and impact – small team with big ambitions. - Strong alumni network from top tech companies (AWS, Datadog, HashiCorp, GitLab, etc.). - Recent departures include VP of Marketing (Diana Smith, Mar 2026) – indicates some churn, but overall rapid hiring. - Active job postings across engineering, sales, product, and consulting – strong growth trajectory. ## Sources 1. [langchain.com](https://www.langchain.com/) – Official website (products, stats, customers) 2. [langchain.com/careers](https://www.langchain.com/careers) – Careers page (awards, values) 3. [langchain.com/about](https://www.langchain.com/about) – About page (mission, history, funding, team) 4. [linkedin.com/company/langchain](https://www.linkedin.com/company/langchain) – LinkedIn profile (headcount, revenue, funding rounds, job trends, talent sources) ## Other roles at LangChain - [People Operations Specialist](https://feeny.ai/job/people-operations-specialist-langchain-san-francisco-acnkpqwg8dcy) — San Francisco, CA - [Account Executive (Mid Market- NY)](https://feeny.ai/job/account-executive-mid-market-ny-langchain-san-francisco-fewegxjxx62k) — San Francisco, CA - [Senior Backend Engineer, Enterprise Billing Platform](https://feeny.ai/job/senior-backend-engineer-enterprise-billing-platform-langchain-san-francisco-dvmar5cneq6g) — San Francisco, CA - [Agent Reliability Engineer, GTM](https://feeny.ai/job/agent-reliability-engineer-gtm-langchain-san-francisco-q8bs83cj5vh4) — San Francisco, CA - [Commercial Account Executive (UK)](https://feeny.ai/job/commercial-account-executive-uk-langchain-london-6a078m956thy) — London, United Kingdom - [Lead Applied AI Engineer](https://feeny.ai/job/lead-applied-ai-engineer-langchain-new-york-9y52za9j9jnk) — New York, NY - [Enterprise Account Executive (Florida)](https://feeny.ai/job/enterprise-account-executive-florida-langchain-tampa-7xcsh2p5satw) — Tampa, FL - [Enterprise Account Executive (Atlanta)](https://feeny.ai/job/enterprise-account-executive-atlanta-langchain-atlanta-wj9an31kyhf1) — Atlanta, GA - [Deployed Architect, Professional Services (NYC)](https://feeny.ai/job/deployed-architect-professional-services-nyc-langchain-new-york-z5b0ztm3dg48) — New York, NY - [Deployed Architect, Professional Services (Dallas)](https://feeny.ai/job/deployed-architect-professional-services-dallas-langchain-dallas-tgr0as9v7svs) — Dallas, TX