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Lead Principal Machine Learning Engineer

Job in Pierre, Hughes County, South Dakota, 57501, USA
Listing for: Ll Oefentherapie
Full Time position
Listed on 2026-07-19
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below

Overview

The Senior Principal AI Agent / ML Software Engineer is a Senior Staff-level, hands-on technical leadership role responsible for defining, building, and operating next-generation AI systems on Oracle Cloud Infrastructure (OCI). This person will set 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.

Responsibilities
  • Define, build, and operate next-generation AI systems on Oracle Cloud Infrastructure (OCI).
  • Set 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.
  • Translate ambiguous product and platform goals into durable technical strategy, lead multi-team execution without direct authority, and remain deeply hands-on in design, code, reviews, operations, and incident follow-up.
  • Combine deep distributed systems experience with practical AI-native engineering, including orchestration of LLMs, tools, APIs, memory, retrieval, evaluation, guardrails, and cloud services.
  • Ship, scale, and operate reliable, secure, observable, and cost-aware AI platform systems while raising the technical bar for engineers across the organization.
Qualifications
  • Proven engineering background with distributed systems experience and practical AI-native engineering.
  • Experience with designing and operating AI platform components, including orchestration of LLMs, tools, APIs, memory, retrieval, evaluation, guardrails, and cloud services.
  • Ability to translate ambiguous goals into technical strategy and lead multi-team initiatives with limited formal authority.
  • Hands-on experience in design, coding, reviews, operations, and incident follow-up; comfortable working in enterprise, large-scale environments.
  • Experience with OCI or similar cloud infrastructure is desirable.
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