Solutions Architect at LangChain

, , -

Full Time

Start Date

Immediate

Expiry Date

24 Mar, 26

Salary

190000.0

Posted On

24 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Solutions Architect, AI Infrastructure, Kubernetes, Infrastructure as Code, Cloud Platforms, Agent Systems, Python, TypeScript, Customer Engagement, Technical Assessments, Problem Solving, Communication Skills, CI/CD Pipelines, Database Systems, Networking, Security

Industry

technology;Information and Internet

Description

About the Role We're looking for a Solutions 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 Location: SF and NY preferred. US Remote Ok Compensation: $170K to $190K We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location.

Responsibilities

The Solutions Architect will design scalable, secure infrastructure for AI platform deployments and develop multi-agent systems. This role involves customer engagement to assess technical maturity and provide recommendations.