Senior Forward Deployed Software Engineer (FDSE) with GenAI

The Senior Forward Deployed Software Engineer (FDSE) will join the Applied AI Forward Deployed Engineering team to partner with strategic enterprise customers, identify high-value opportunities, and deliver production-ready, LLM-enabled applications. The person in this role will operate in customer environments, lead end-to-end technical delivery across the full stack, and convert engagements into reusable patterns and assets that accelerate future deployments and inform the platform roadmap.

Responsibilities

• Build and deliver production-ready AI solutions: Own end-to-end delivery of LLM-enabled applications in agile sprints, including backend services, data orchestration, LLM pipelines, and front-end integrations. Make architecture and implementation decisions that enable scaled production deployments.
• Embed with customers in the field: Work side-by-side with strategic customer teams, often onsite (up to 30% travel). Diagnose root problems, understand context and customer pain points, identify high-value AI opportunities. Adapt, deploy, and iterate in live environments.
• Act as the “CTO of the build,” making architecture and implementation decisions.
• Engineer across the full stack: Design and implement APIs (REST/GraphQL), orchestration pipelines, vector database integrations, LLM frameworks (e.g., LangChain, Semantic Kernel), and UI components (React, Angular). Integrate with legacy systems and navigate ambiguity while delivering reliably and securely.
• Codify reusable assets: Create libraries, SDKs, prompts, scaffolds, and documentation to make successful projects repeatable across customer engagements.
• Influence platform and product: Share field-tested insights with platform and product teams to shape internal tooling and contribute to the Now AI Platform roadmap and primitives.
• Ensure performance, reliability, and security: Debug distributed systems, tune for latency, and implement monitoring and observability to deliver resilient systems for enterprise use.
• Deploy and operate in the cloud: Use AWS, Azure, or GCP with CI/CD practices, containers, and infrastructure-as-code.
• Provide engineering leadership: Lead implementations from zero to one, earn trust from architects, product managers, and customer teams, and balance rapid MVP iteration with long-term scalability.

Qualifications

• Minimum 10 years of software engineering experience, including at least 2 years in customer-facing or embedded roles.
• Proven backend development experience in one or more of: Python, Node.js, Java.
• Frontend experience with modern frameworks such as React or Angular.
• Hands-on experience with LLM tooling and patterns, including prompt chaining, vector search, and context management.
• Experience designing and implementing APIs (REST/GraphQL), orchestration pipelines, and integrations with vector databases and LLM frameworks.
• Cloud and DevOps fluency with practical knowledge of CI/CD, containers, and infrastructure-as-code on AWS, Azure, or GCP.
• Demonstrated ability to design for performance, reliability, and security in distributed systems.
• Strong communication skills and experience working directly with customer stakeholders to translate business needs into technical solutions.
• Fluent English

Benefits

• Opportunity to lead complex, high-impact AI projects with strategic enterprise customers and shape product and platform direction.
• Work that spans the full stack and advances practical, production-grade GenAI deployments and reusable engineering assets.
• Travel allowance for on-site customer engagements (up to 30% travel) and support for remote and on-site work as required by engagements.