Embedded AI Engineer for Production-Ready Workflows

United States Digital Space LLC; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

United States Digital Space LLC is seeking a Forward Deployed Engineer to move AI-assisted RiskOS workflows from discovery to trusted production systems. You will work directly with large strategic customers, own the path from scoping to deployment, and solve problems where speed, trust, and control matter.

You will embed with customer teams, building reusable RiskOS capabilities. This role emphasizes hands-on engineering, end-to-end ownership, and collaboration with product, security, and GTM

Qualifications

• Strong hands‑on technical ability across APIs, integrations, data mappings, or production systems.
• End-to-end ownership from discovery to production in ambiguous environments.
• Customer-facing problem solving with enterprise stakeholders to ship usable outcomes.
• Product-minded engineering judgment balancing architecture, implementation, and user needs.
• Systems thinking to modularize complex workflows and maintain clarity.
• High agency in fast-moving environments with evolving priorities.

Responsibilities

• Own deployments from prototype to production for AI-assisted RiskOS workflows.
• Translate policies, data sources, and processes into RiskOS workflows and integrations.
• Write code and integrate with customer infrastructure, APIs, data sources, and tools.
• Define and tune agentic workflows, including evaluation, observability, and guardrails.
• Measure deployed workflows for speed, accuracy, and analyst productivity.
• Collaborate with product, engineering, data science, security, and GTM to create reusable templates.

Skills

Hands-on technical ability

End-to-end ownership

Customer-facing problem solving

Product-minded engineering

Systems thinking

Ambiguity tolerance

4+ years software/forward deployed

Python

SQL

APIs

Cloud services

LLM workflows

Tools

Workflow orchestration tools

Observability tools

Retrieval systems

Tool calling

Job description

United States Digital Space LLC is seeking a Forward Deployed Engineer to move AI-assisted RiskOS workflows from discovery to trusted production systems. You will work directly with large strategic customers, own the path from scoping to deployment, and solve problems where speed, trust, and control matter.

You will embed with customer teams, building reusable RiskOS capabilities. This role emphasizes hands-on engineering, end-to-end ownership, and collaboration with product, security, and GTM