LangChain
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.
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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.
#J-18808-Ljbffr