Solution Architect / Forward Deployed Engineer

Cynet Systems•Princeton, NJ

About The Position

We are seeking a hands-on Solution Architect / Forward Deployed Engineer to design, build, and deploy scalable AI-enabled and cloud-native solutions. The role works closely with customers and engineering teams to translate business requirements into secure, production-ready applications. The position involves leading solution architecture, prototyping, and production deployment; building AI and agentic workflows; developing modern web applications; designing data solutions; and deploying containerized applications and scalable solutions on AWS. The role also includes troubleshooting complex application, integration, performance, and production issues and collaborating directly with customers and cross-functional teams.

Requirements

  • Strong hands-on experience with Python, LangGraph, FastAPI, and Pydantic V2.
  • Proficiency in TypeScript and React.
  • Strong experience with PostgreSQL.
  • Hands-on knowledge of Kubernetes, Docker, and CI/CD.
  • Experience with AWS cloud services, including EKS, RDS, S3, IAM, and CloudWatch.
  • Strong understanding of REST APIs, microservices, distributed systems, and cloud-native architecture.
  • Excellent customer-facing, problem-solving, and communication skills.

Nice To Haves

  • Experience with LLMs, AI Agents, RAG, and agentic workflows.
  • Experience with Terraform, Helm, GitHub Actions, or Jenkins.
  • Knowledge of DevSecOps, observability, security, and production operations.

Responsibilities

  • Lead solution architecture, prototyping, and production deployment.
  • Build AI and agentic workflows using Python, LangGraph, FastAPI, and Pydantic V2.
  • Develop modern web applications using TypeScript and React.
  • Design and optimize data solutions using PostgreSQL.
  • Deploy and manage containerized applications using Kubernetes.
  • Build and maintain automated CI/CD pipelines.
  • Architect and deploy scalable solutions on AWS.
  • Troubleshoot complex application, integration, performance, and production issues.
  • Collaborate directly with customers, product teams, DevOps, security, and engineering teams.
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