Solutions Architect

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 ResponsibilitiesInfrastructure & 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 pipelinesAgent 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/operationsCustomer 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 teamsWhat 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 applyInfrastructure & 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 deploymentsExperience with Infrastructure as Code (Terraform, Helm) and GitOps practicesKnowledge of database systems (relational databases, in‑memory data stores) including HA, replication, backup strategies, and sizingExperience designing high‑availability and disaster recovery solutionsStrong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)Experience with CI/CD pipelines for infrastructure and applicationsAgent Engineering & Development:1+ years of experience building production AI/ML applications or agentsStrong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent‑based applicationsExperience with state management patterns (short‑term and long‑term memory)Experience designing and implementing evaluation frameworks for AI applicationsStrong prompt engineering skills with experience in optimization and A/B testingExperience with vector stores, RAG patterns, and knowledge organizationExperience with tool integration, API design, and error handling patternsStrong Python and/or TypeScript development skillsCustomer‑Facing:Customer‑facing experience with enterprise customersExperience conducting technical assessments or infrastructure auditsStrong communication skills with ability to explain technical concepts to diverse audiencesKey AttributesStrong problem‑solving skills with ability to analyze complex requirements and design elegant solutionsExcellent customer‑facing communication skills, able to explain technical concepts to diverse audiencesExperience working cross‑functionally with engineering teams, product teams, and customersConsultative approach with ability to understand customer needs, provide recommendations, and guide implementationAbility to balance infrastructure architecture with agent development workStrong engineering background with hands‑on development experienceLocation:SF and NY preferred. US Remote OkCompensation:$170K to $190KWe 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