Forward Deployed Solution Engineer – Applied AI
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Job Description
Forward-deployed AI engineer building production GenAI systems for ServiceNow enterprise customers. Designing RAG pipelines, agentic workflows, and scalable AI-native software with strategic clients.
Responsibilities:
- Partner directly with customers to discover problems and frame high-impact AI use cases
- Design and build end-to-end GenAI/ML systems, including RAG pipelines, agentic workflows, evaluation, and guardrails
- Ship AI systems to production
- Prototype quickly, iterate with real users, and harden pilots into reliable, monitored services
- Own the technical relationship and translate between business stakeholders and engineering
- Build backend services, LLM pipelines, and front-end integrations
- Deliver solution-ready builds in agile sprints
- Author libraries, prompts, and scaffolds that support multiple deployments and projects
- Shape internal tooling and platform roadmap primitives
- Lead implementations from zero to one
- Raise ML depth and engineering quality across the team
Requirements:
- 8+ years of software engineering experience
- 2+ years building systems in customer-facing or embedded roles
- Experience building machine learning/GenAI systems with LLMs, embeddings, vector databases, and RAG architectures
- Ability to design and implement AI-native software in production environments
- Backend experience with Python, Node.js, or Java
- Frontend experience with React or Angular
- REST/GraphQL API experience
- Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management
- Experience debugging distributed systems, tuning latency, and implementing monitoring
- Ability to contribute to shared SDKs and tools
- Product sensibility focused on user value, MVP iteration, and long-term scale
- Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infrastructure-as-code
- Able to travel up to 30% to embed onsite and deliver where it matters
- Experience integrating AI into work processes, decision-making, or problem-solving
- Preferred: experience integrating AI into SaaS platforms such as ServiceNow or Salesforce
- Preferred: track record of production deployments in secure, regulated enterprise environments
- Preferred: contributions to developer experience tooling, frameworks, or reusable AI scaffolds
Benefits:
- Flexible or remote work persona
- Opportunity to work on transformative enterprise AI solutions with strategic customers
- Opportunity to shape internal tooling and the Now AI Platform roadmap
- Opportunity to author reusable libraries, prompts, and scaffolds
- Opportunity to contribute to shared SDKs and developer experience tooling
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