About the role

Role Overview

Forward Deployed AI Engineer (Remote, US only with travel) You’ll be a highly technical, customer-facing advisor working directly with enterprise ML and GenAI teams to deploy, monitor, evaluate, and improve AI applications in production.

Responsibilities

Advise enterprise customers on AI/GenAI/ML best practices
Work closely with ML and LLM engineering teams
Deliver technical demos and workshops
Support customers across the AI development lifecycle
Conduct strategic business reviews alongside Sales
Partner with Product and Engineering to influence roadmap decisions
Drive adoption, expansion, and long-term customer success

Requirements

Experience building or supporting ML/GenAI/AI applications in production
Strong understanding of model development, deployment, evaluation, and monitoring
Experience with LLMs, RAG, agents, or modern AI frameworks
Knowledge of tools such as LangGraph, LlamaIndex, DSPy, TensorFlow, PyTorch, or scikit-learn
Experience with AWS, Azure, or GCP
Programming experience in Python and/or JavaScript/TypeScript, Java, Go
Excellent communication skills; able to engage technical and business stakeholders

Nice to Have

Customer-facing experience (Solutions Engineering, Solutions Architecture, Professional Services, Consulting, or Customer Success Engineering)
Experience with Kubernetes and cloud-native infrastructure
Experience presenting technical solutions to executive stakeholders

About Space Executive

Space Executive partners with a rapidly growing Series C AI company that helps enterprises build, monitor, evaluate, and optimize AI and agentic systems at scale. The platform sits within the AI infrastructure ecosystem and is trusted by organizations including Netflix and Uber, backed by over $135M in funding.

Forward Deployed AI Engineer, Remote, US only as travel, $120,000 - $175,000 OTE + Equity, ML, GenAI, or AI applications in production, Kubernetes

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