Deployed Architect, Professional Services (London)
Remote • London • 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 robust, secure infrastructure deployments and developing reliable, well-evaluated agent applications to address critical business challenges. This position blends software development, infrastructure/platform engineering, and client interaction, requiring deep technical expertise 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.
- Lead technical maturity assessments for clients and present recommendations.
- Collaborate with Engagement Managers, Product, and Engineering teams to ensure successful client outcomes.
Requirements
- 7+ years of experience in technical, hands-on customer-facing roles (e.g., Solutions Architect, Deployed Architect).
- 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 and autoscaling.
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices.
- Knowledge of database systems (relational, in-memory) including HA, replication, and backup strategies.
- 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).
- 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 clients.
- 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 design elegant solutions.
- Experience working cross-functionally with engineering, product, and customer teams.
- Consultative approach to understanding customer needs and guiding implementation.
Benefits
- Base salary
- Variable compensation
- Meaningful equity
- Benefits
- Perks