Forward Deployed Engineer

Role Overview We are seeking a Senior Forward Deployed Engineer to sit at the intersection of engineering, product, marketing, and the business. This is not a traditional engineering role. You will work directly with stakeholders to uncover complex business problems, architect practical AI-powered solutions, and ship production systems that deliver measurable impact. The work is highly autonomous. You will not be handed detailed specifications. You are expected to interpret product requirements, ask the right questions of the right people, and determine what should be built. The ideal candidate is a strong technical builder and architect with excellent business and product judgment, who is genuinely comfortable working alongside non-technical teams, particularly consumer marketing. This position supports a healthcare organization, so US residency is required and experience in regulated environments is valued. Key Responsibilities Design, build, and deploy AI-powered applications, agents, and automation systems using Python, FastAPI, TypeScript, Node.js, Claude, OpenAI, Gemini, and other LLM platforms. Work directly with marketing, product, and business teams to understand complex workflows, identify opportunities, and translate business requirements into technical solutions. Interpret product requirement documents and ambiguous business input independently, then define and drive the technical approach. Own architecture decisions across systems, data, and AI components, balancing speed of delivery with long-term maintainability. Build AI agents, RAG systems, tool-calling workflows, and LLM-powered applications using technologies such as LangChain, LangGraph, vector databases, embeddings, and MCP. Develop backend services, APIs, webhooks, integrations, and data pipelines connecting internal and third-party systems. Build and optimize data workflows using Snowflake, PostgreSQL, SQL, Supabase, Redis, dbt, and ETL/ELT pipelines. Integrate AI solutions with CRMs, marketing platforms, customer data platforms, analytics tools, and business applications. Build workflow automation using platforms such as n8n, Make, Zapier, and Power Automate. Develop internal tools, dashboards, and user-facing applications using React, Next.js, TypeScript, and Tailwind CSS when required. Deploy and maintain production systems using AWS or GCP, Docker, serverless infrastructure, CI/CD, and GitHub Actions. Prototype rapidly, gather feedback from business users, and iterate toward production-ready implementations. Work closely with consumer marketing teams to improve customer acquisition, engagement, retention, personalization, and operational efficiency. Analyze customer and business data to identify trends, bottlenecks, and opportunities for AI and automation. Monitor production AI systems, evaluate LLM performance, troubleshoot failures, and improve reliability and cost efficiency. Communicate technical solutions, limitations, and…