Deployed Architect, Professional Services (Amsterdam)

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 roles such as Solutions Architect, Deployed 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

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

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.