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 the chance to work with cutting‑edge AI technology in a collaborative team environment.
What You’ll Do:- 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
7+ years of experience in a technical, hands‑on customer‑facing role 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
- 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 experience with enterprise customers
- Experience conducting technical assessments or infrastructure audits
- Strong communication skills with the ability to explain technical concepts to diverse audiences
- Strong problem‑solving skills with the 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 the 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
Based on location and experience.
Location
- Netherlands, Amsterdam
- Remote with up to 25% travel
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.
BenefitsBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in‑office days in the US and more.
#J-18808-Ljbffr€70000 - €90000 monthly