Senior Manager, AI Agent / ML Engineering

Oracle•Nashville, TN

17h

About The Position

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.

Requirements

Experienced engineering manager
Deep distributed-systems expertise
Practical, hands-on experience building AI agents and AI-native applications
Comfortable writing production code
Comfortable debugging complex systems
Ability to guide engineers through difficult architectural and implementation decisions

Responsibilities

Lead a team of engineers
Serve as a hands-on technical leader
Define, build, and operate next-generation AI systems on Oracle Cloud Infrastructure (OCI)
Set the architecture and engineering direction for production-grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications
Build and develop high-performing teams
Translate ambiguous product and platform goals into a durable technical strategy
Drive execution across multiple organizations
Accountable for hiring, mentoring, performance management, technical planning, and delivery
Remain actively involved in system design, prototyping, coding, code reviews, operational readiness, and incident follow-up
Develop and orchestrate LLM-based agents, tools, APIs, memory systems, retrieval pipelines, evaluations, guardrails, and cloud-service integrations
Write production code
Debug complex systems
Guide engineers through difficult architectural and implementation decisions
Lead the team in shipping, scaling, and operating reliable, secure, observable, and cost-efficient AI systems
Raise both the engineering and management bar across the organization
Establish strong execution practices
Promote operational excellence
Ensure the team delivers measurable business and customer outcomes