Solutions Architect (APAC)

Responsibilities 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

What 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 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 Key Attributes 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 Location: Singapore

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.

Benefits

Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.