Deployed Architect, Professional Services (Amsterdam)
Remote • Amsterdam • FullTime
Posted 17d ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
LangChain is seeking a Deployed Architect to join our Professional Services team. In this role, you will collaborate directly with enterprise clients to design, implement, and fine-tune production-ready AI infrastructure and agent systems. Your responsibilities will include architecting scalable and secure infrastructure deployments, as well as building reliable and well-evaluated agent applications to address significant business challenges. This position uniquely blends software development, infrastructure/platform engineering, and client-facing expertise, requiring deep technical knowledge in both infrastructure and agent engineering.
Responsibilities
- Design scalable, highly-available infrastructure for AI platform deployments, including compute, storage, networking, and security.
- Implement enterprise integration patterns and manage Infrastructure as Code using tools like Terraform and Helm.
- Develop multi-region high-availability and disaster recovery strategies, and manage CI/CD pipelines.
- Design multi-agent systems using various patterns and implement agent logic with modern frameworks like LangChain and LangGraph.
- Design comprehensive evaluation frameworks for AI applications and optimize prompts through A/B testing.
- Guide the deployment and operation of AI agent systems.
- Lead technical maturity assessments for enterprise customers.
- Collaborate with Engagement Managers and Product/Engineering teams to understand customer requirements and present recommendations.
Requirements
- 7+ years of experience in technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect, or Forward Deployed Engineer.
- 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, in-memory) 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 and ability to analyze complex requirements.
- Consultative approach to understand customer needs and provide recommendations.
Benefits
- Meaningful equity
- Competitive compensation
- Variable compensation for relevant roles
- Benefits and perks