Forward Deployed Software Engineer (Applied AI / GenAI)

Quick Facts

• Role: Forward Deployed Software Engineer (Applied AI / GenAI)
• Focus: Customer-embedded development of production-ready GenAI/ML solutions
• Travel: Up to 30%

Description

Work alongside strategic customers to turn high-impact business problems into working GenAI/ML systems. You design and build end-to-end solutions—including RAG pipelines, agentic workflows, evaluation, and guardrails—and harden pilots into monitored production services. Your work becomes a reference implementation and reusable patterns for scalable GenAI across the enterprise.

Responsibilities

• Partner directly with customers to discover and frame high-impact AI use cases
• Design and build end-to-end GenAI/ML systems (RAG, agentic workflows, evaluation, guardrails)
• Prototype quickly with real users, then iterate and harden pilots into reliable services
• Own the technical relationship and translate between business stakeholders and engineering
• Lead implementation from zero to one and raise ML depth and engineering quality across the team

Requirements

• 8+ years of software engineering; 2+ years building systems in customer-facing or embedded roles
• Experience integrating or critically thinking about AI in real work processes and decision-making
• Build GenAI/ML systems using LLMs, embeddings, vector databases, and RAG architectures
• Proven ability to design and implement AI-native software in production
• Backend depth (Python, Node.js, or Java), frontend depth (React or Angular), and API skills (REST/GraphQL)
• Familiarity with LLM tooling such as LangChain or Semantic Kernel, plus prompt chaining and context management
• Debugging/distributed systems experience, latency tuning, and observability/monitoring
• Cloud/DevOps fluency: deploy on AWS/Azure/GCP with CI/CD, containers, and infrastructure-as-code
• Ability to travel up to 30%

Benefits

• Opportunity to build secure, scalable, production-grade enterprise GenAI solutions with direct customer impact
• Create reusable libraries, prompts, and scaffolds that accelerate multiple deployments
• Influence platform tooling and roadmap primitives for the wider organization