Senior Manager, AI Agent / ML Engineering

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

Job summary

Ll Oefentherapie in Nashville, TN, seeks a Senior Manager to lead a team of engineers as a hands-on technical leader responsible for defining, building, and operating next-generation AI systems on Oracle Cloud Infrastructure (OCI).

The role sets the architecture and engineering direction for production-grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications used in business-critical environments.

Qualifications

• Proven track record leading distributed AI teams.
• Experience translating product goals into technical strategy.
• Strong architectural and coding skills for production systems.

Responsibilities

• Lead a team of engineers to deliver AI platforms on OCI.
• Define architecture and engineering direction for production AI systems.
• Hire, mentor, and manage performance, while hands-on in design and reviews.
• Ensure reliable, secure, observable, and cost-efficient systems.

Skills

Leadership

Distributed systems

AI systems

Cloud platforms

Mentoring

Job description

The Senior Manager will lead a team of engineers while serving as a hands‑on technical leader responsible for defining, building, and operating next‑generation AI systems on Oracle Cloud Infrastructure (OCI). This leader will set the architecture and engineering direction for production‑grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications used in large‑scale, business‑critical environments.

This role requires an experienced engineering manager who can build and develop high‑performing teams, translate ambiguous product and platform goals into a durable technical strategy, and drive execution across multiple organizations. The successful candidate will be accountable for hiring, mentoring, performance management, technical planning, and delivery, while remaining actively involved in system design, prototyping, coding, code reviews, operational readiness, and incident follow-up.

The ideal candidate combines deep distributed‑systems expertise with practical, hands‑on experience building AI agents and AI‑native applications. This includes developing and orchestrating LLM‑based agents, tools, APIs, memory systems, retrieval pipelines, evaluations, guardrails, and cloud‑service integrations. The candidate should be comfortable writing production code, debugging complex systems, and guiding engineers through difficult architectural and implementation decisions.

The expectation is to lead the team in shipping, scaling, and operating reliable, secure, observable, and cost‑efficient AI systems, while raising both the engineering and management bar across the organization. This leader will establish strong execution practices, promote operational excellence, and ensure the team delivers measurable business and customer outcomes.