Solutions Architect
Designs and deploys production-grade AI infrastructure and agent systems for enterprise customers in Singapore. The role combines cloud and Kubernetes architecture, agent development, evaluation, security, and hands-on technical consulting, requiring 7+ years of customer-facing technical experience.
About the job
Responsibilities
Infrastructure & Platform Engineering
- Design scalable, highly available infrastructure for AI platform deployments, including compute, storage, networking, and security.
- Design enterprise integration patterns, Infrastructure as Code using Terraform and Helm, multi-region high-availability and disaster-recovery strategies, and CI/CD pipelines.
Agent Engineering & Development
- Design multi-agent systems using different patterns.
- Implement agent logic using modern frameworks such as LangChain and LangGraph.
- Design comprehensive evaluation frameworks and optimize prompts with A/B testing.
- Guide deployment and operations.
Customer Engagement & Assessment
- Lead technical maturity assessments.
- Work directly with enterprise customers to understand requirements and present recommendations.
- Partner with Engagement Managers and Product and Engineering teams.
Requirements
Required Experience
- 7+ years of experience in technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer.
- 3+ years of experience designing and deploying production infrastructure on GCP, AWS, or Azure.
- Strong Kubernetes experience, including cluster design, autoscaling, and multi-zone deployments.
- Experience with Infrastructure as Code using Terraform and Helm, and GitOps practices.
- Knowledge of relational databases and in-memory data stores, including high availability, replication, backup strategies, and sizing.
- Experience designing high-availability and disaster-recovery solutions.
- Strong understanding of networking, security including SSO/RBAC, TLS, and secrets management, and observability.
- 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 such as LangChain and LangGraph for building agent-based applications.
- Experience with short-term and long-term memory patterns.
- Experience designing and implementing evaluation frameworks for AI applications.
- Strong prompt engineering skills, including 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 and the ability to explain technical concepts to diverse audiences.
Key Attributes
- Strong problem-solving skills and the ability to analyze complex requirements and design elegant solutions.
- Excellent customer-facing communication skills.
- Experience working cross-functionally with engineering teams, product teams, and customers.
- A consultative approach to understanding customer needs, providing recommendations, and guiding implementation.
- Ability to balance infrastructure architecture with agent development work.
- Strong engineering background with hands-on development experience.
Compensation & Benefits
- Competitive compensation including base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
- Locally competitive benefits for APAC team members aligned with regional norms and regulations.
- Benefits include medical, dental, and vision coverage, flexible vacation, and other regional benefits and perks.
Skills
Kubernetes, Terraform, Helm, GitOps, GCP, AWS, Azure, LangChain, LangGraph, Python, TypeScript, Vector Stores, RAG, Prometheus, Grafana
Similar jobs
Solutions Architecture jobs
Databricks
Singapore
Leads complex enterprise architecture engagements, consumption strategy, and executive customer relationships for data and AI platforms. Requires 8+ years of solutions architecture or senior technical pre-sales experience, expert Python and SQL skills, and deep enterprise data architecture expertise.
Cloudflare
Singapore
Senior solutions architect leading regional technical strategy for Cloudflare’s Developer Platform across customer and partner engagements in APJC. The role requires 10+ years of relevant experience, hands-on software development and cloud architecture expertise, executive influence, and fluency in English plus an Indian language.
Stripe
Singapore
Manage end-to-end onboarding for strategic mid-market and enterprise customers in the SEA and Greater China markets. The role combines integration architecture, change management, project coordination, and cross-functional collaboration, requiring 6+ years of experience with technology solutions and fluency in Mandarin and English.
Databricks
London, United Kingdom
Leads technical strategy and architecture for customer data and AI solutions, guiding adoption from discovery through production. Requires 6+ years in solutions architecture or a senior technical role, strong Python and SQL skills, and expertise in cloud-native distributed data systems.
OpenLoop
Remote
Own hands-on technical implementations for external healthcare and telehealth clients, including platform configuration, integrations, data migration, testing, deployment, and stabilization. Requires 3–6+ years of implementation or integration experience, strong API and SQL skills, and customer-facing technical judgment.