Forward Deployment Engineer (Architect) – Python + TypeScript | JD Summary
- Looking for a Forward Deployment Engineer / Solution Architect with 12+ years of experience in software engineering, enterprise architecture, and AI solution deployment.
- Strong expertise in Python and TypeScript for building production-grade applications, automation workflows, orchestration layers, and developer tools.
- Hands-on experience with Claude AI, LLMs, Prompt Engineering, Context Engineering, RAG (Retrieval-Augmented Generation), and Multi-Agent Systems.
- Experience with Devin or AI-assisted software engineering platforms is highly preferred.
- Design and deploy enterprise-grade AI solutions leveraging Claude, Devin, and agentic frameworks.
- Architect scalable solutions involving Microservices, Event-Driven Architecture, Distributed Systems, and Backend Services.
- Build and integrate REST APIs, GraphQL APIs, asynchronous workflows, caching, and scalable architectures.
- Define best practices for Prompt Design, Tool Calling, Function Calling, Agent Memory, and Human-in-the-Loop workflows.
- Develop reusable AI deployment frameworks, reference architectures, and implementation standards.
- Integrate AI capabilities into CI/CD pipelines, engineering platforms, developer workflows, and enterprise applications.
- Strong experience with Azure, AWS, or GCP cloud platforms.
- Hands-on experience with Containerization, Infrastructure Automation, DevSecOps, and Secure Deployments.
- Experience with Vector Databases, Embeddings, Semantic Search, and Enterprise Knowledge Systems.
- Design and optimize RAG pipelines and enterprise retrieval systems.
- Strong understanding of Observability, Monitoring, Logging, Tracing, and AI Operations.
- Experience implementing governance, auditability, security controls, and compliance requirements for enterprise AI solutions.
- Work directly with enterprise customers to gather requirements and design AI-driven business solutions.
- Lead architecture discussions, workshops, and stakeholder engagements.
- Provide technical leadership, mentor engineering teams, and establish architecture standards.
- Drive productionization of AI solutions focusing on scalability, reliability, security, and performance.
- Experience working in regulated enterprise environments with strict security and compliance requirements.
- Strong communication and consulting skills with customer-facing experience.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Cloud, Architecture, or AI certifications are a plus.
Must-Have Skills
Python, TypeScript, Claude AI, Prompt Engineering, Context Engineering, RAG, Multi-Agent Systems, Tool Calling, Enterprise AI Deployment, Microservices, Distributed Systems, REST APIs, Azure/AWS/GCP, CI/CD, Vector Databases, Semantic Search, Solution Architecture, Technical Leadership.
