Principal AI Agent: Lead Production AI & Orchestration

ARCHER; Nashville (TN); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(K) With Company Match

Paid Time Off

Bonus Eligibility

Equity Eligibility

Job summary

ARCHER is seeking a Senior AI Platform Architect to lead the design, development, and operation of production-grade AI platforms on Oracle Cloud Infrastructure. You will guide multi‑team execution, stay hands-on in architecture, coding reviews, reliability, security, and performance, and mentor engineers across the organization.

You will translate business needs into scalable AI workflows, optimize costs, and oversee governance and safety for enterprise AI applications.

Qualifications

• Requires a bachelor’s, master’s, or doctoral degree in computer science, AI/ML, engineering, or related field, or equivalent practical experience.
• 6–10+ years of software engineering experience with Senior Staff or Principal-level leadership.
• Deep distributed-systems and production AI experience; strong Python and cloud-native skills.

Responsibilities

• Define architecture and lead the development and operation of production-grade AI platforms on Oracle Cloud Infrastructure.
• Guide multi-team technical execution while remaining hands-on in design, coding, reviews, reliability, security, performance, cost management, and mentoring.

Skills

Distributed Systems

Agentic AI

Python

Kubernetes

Docker

Cloud-Native Infrastructure

LLM Orchestration

AI Workflow Orchestration

Model Serving

Vector Retrieval

Model Context Protocol

Observability

Reliability Engineering

AI Safety And Governance

Technical Leadership

GPU Inference Optimization

Education

Bachelor’s degree or higher in CS/AI/Engineering

Job description

ARCHER is seeking a Senior AI Platform Architect to lead the design, development, and operation of production-grade AI platforms on Oracle Cloud Infrastructure. You will guide multi‑team execution, stay hands-on in architecture, coding reviews, reliability, security, and performance, and mentor engineers across the organization.

You will translate business needs into scalable AI workflows, optimize costs, and oversee governance and safety for enterprise AI applications.