Forward Deployed AI Engineer | Remote (US) | Some Travel Required $150,000 base + Equity | Up to $185,000 OTE
Space Executive
full-remoteseniorpermanentother United States Yesterday via LinkedIn
150,000 - 185,000 USD/annual
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Machine LearningGenAILLMsRAGAgentsMLOpsKubernetesAWSAzureGCP
About the role
Role overview
Forward Deployed AI Engineer (Remote, US; some travel) You will be a highly technical, customer-facing engineer acting as a trusted advisor to enterprise customers. The role focuses on deploying, monitoring, evaluating, and improving ML and GenAI applications in production.
Responsibilities
- Advise enterprise customers on AI, GenAI, and ML best practices
- Work closely with customer ML and LLM engineering teams
- Deliver technical demos and workshops
- Support customers throughout 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
- Hands-on experience with LLMs, RAG, and/or agents and modern AI frameworks
- Familiarity with tools such as LangGraph, LlamaIndex, DSPy, TensorFlow, PyTorch, or Scikit-learn
- Knowledge of cloud platforms such as AWS, Azure, or GCP
- Programming experience in Python and/or JavaScript/TypeScript, Java, Go, or similar
- Excellent communication skills with ability to engage both technical and business audiences
Nice to have
- Customer-facing experience in Solutions Engineering / Architecture / Professional Services / Consulting / Customer Success Engineering
- Experience with Kubernetes and cloud-native infrastructure
- Experience presenting technical solutions to executive stakeholders
About Space Executive
Space Executive is partnering with a rapidly growing Series C AI company focused on helping enterprise teams build, monitor, evaluate, and optimize AI and agentic systems at scale. The product sits within the AI infrastructure ecosystem and is trusted by major organizations such as Netflix and Uber.
Scraped 7/27/2026