Enterprise AI Engineer - Field Deployment Lead

NinjaTech AI; Mountain View (CA); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Equity

Delivery/expansion bonus

Full benefits (medical/dental/vision)

Job summary

NinjaTech AI is seeking an Applied AI Engineer to deploy our unmetered intelligence platform inside large enterprises in the Bay Area onsite, with up to 25% travel. You will embed with customers, build production agent workflows, and own technical success from kickoff through go-live and expansion.

You will wire the platform into customer systems, own the architecture, and translate vision into actionable solutions.

Qualifications

• Engineering background with hands-on building experience.
• Genuine curiosity about agentic AI and LLM systems: prompt/tool design, evals, orchestration, guardrails.
• Ability to wrangle large-scale data and reason about storage, pipelines, and cloud infrastructure.
• Strong communication to CTOs and frontline users; translate vision into architecture.
• Bias to ship: move fast with users and iterate on objectives.
• Willingness to travel up to ~25% and be onsite in the Bay Area.

Responsibilities

• Land the deployment by embedding with a new enterprise and standing up first production workflows.
• Build custom integrations linking customer systems and data sources to our platform.
• Be the technical face of NinjaTech in customer meetings and translate product into customer language.
• Drive adoption and expansion, identifying high-value workflows and enabling org-wide rollout.
• Navigate security reviews, data residency, and procurement diligence with the customer.
• Provide feedback to Product to accelerate repeat deployments.

Skills

Python

TypeScript/JavaScript

Go

Data pipelines

Cloud infrastructure

Executive presence

Willingness to travel

Problem solving

Job description

NinjaTech AI is seeking an Applied AI Engineer to deploy our unmetered intelligence platform inside large enterprises in the Bay Area onsite, with up to 25% travel. You will embed with customers, build production agent workflows, and own technical success from kickoff through go-live and expansion.

You will wire the platform into customer systems, own the architecture, and translate vision into actionable solutions.