Enterprise AI Engineer

The Action Company; Enterprise (NV); On-site; USD 120,000 - 160,000; Full time

Job summary

Action Co. is seeking an Enterprise AI Engineer to help build, evolve, and support production agentic AI applications for a high-visibility enterprise program.

You’ll work across Python, TypeScript, APIs, databases, microservices, and AI agents, contributing to new architecture while diagnosing real-world production issues. This role requires more than coding: You must communicate effectively with business and technical stakeholders, navigate organizational complexity, and independently drive

Qualifications

• Experience building production AI applications across enterprise systems.
• Ability to translate business needs into technical solutions.
• Experience with orchestration of agents and microservices.
• Strong debugging across Python/TypeScript stacks.

Responsibilities

• Build and evolve multi-agent AI applications and architectures.
• Maintain orchestrators, agents, services, and integrations.
• Support migration to next-generation agent architectures.
• Apply structured, AI-assisted development practices.
• Rapidly diagnose issues across agents, applications, APIs, databases, and infrastructure.
• Find root causes and independently implement fixes.
• Debug Python, TypeScript/JavaScript, React, SQL, Docker, and CI/CD.
• Independently validate changes before exposing them to business users.
• Translate business feedback into actionable technical problems.
• Drive solutions across teams and organizational boundaries.
• Communicate technical issues and outcomes clearly to business stakeholders.
• Navigate sensitive enterprise communications with professional maturity.
• Proactively own problems through to resolution.
• Navigate ambiguity, changing priorities, and production incidents.
• Escalate blockers effectively and deliver quickly.
• Deliver high-quality solutions at a fast-moving enterprise pace.

Skills

Stakeholder communication

Problem solving

Tools

Python

TypeScript

React

SQL

Docker

CI/CD

APIs

Multi-agent architectures

Job description

Enterprise AI Engineer

Action is looking for an Enterprise AI Engineer to help build, evolve, and support production agentic AI applications for a high-visibility enterprise program. You’ll work across Python, TypeScript, APIs, databases, microservices, and AI agents, contributing to new architecture while diagnosing real-world production issues.

This role requires more than coding: You must communicate effectively with business and technical stakeholders, navigate organizational complexity, and independently drive ambiguous problems through to resolution.

Company

Action Co. is a data consultancy that partners with leading organizations to design, build, and operationalize data systems that drive clarity and performance. We specialize in data engineering, analytics, visualization, and automation, helping teams move from fragmented reporting to integrated, decision-ready systems. Our work sits at the intersection of business strategy and technical execution, enabling organizations to scale with precision. We operate as a tight, high-ownership team, partnering directly with stakeholders to deliver sustainable, high-impact outcomes.

Responsibilities

Agentic AI Engineering

• Build and evolve multi-agent AI applications and architectures
• Maintain orchestrators, agents, services, and integrations
• Support migration to next-generation agent architectures
• Apply structured, AI-assisted development practices

Full-Stack Troubleshooting & Production Support

• Rapidly diagnose issues across agents, applications, APIs, databases, and infrastructure
• Find root causes and independently implement fixes
• Debug Python, TypeScript/JavaScript, React, SQL, Docker, and CI/CD
• Independently validate changes before exposing them to business users

Client & Cross-Functional Execution

• Translate business feedback into actionable technical problems
• Drive solutions across teams and organizational boundaries
• Communicate technical issues and outcomes clearly to business stakeholders
• Navigate sensitive enterprise communications with professional maturity

Autonomous Delivery

• Proactively own problems through to resolution
• Navigate ambiguity, changing priorities, and production incidents
• Escalate blockers effectively and deliver quickly
• Deliver high-quality solutions at a fast-moving enterprise pace