DevOps/AI Ops Administrator Job in Alaska | Yulys
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Job Title: DevOps/AI Ops Administrator

Company Name: Openkyber
Salary: USD 0.00
-
USD 0.00 Hourly
Job Industry: Program Development
Job Type: Full time
WorkPlace Type: On-Site
Location: Alaska, United States
Required Candidates: 1 Candidates
Skills:
Task Planning
Decision Making
Multi-Agent Systems
Job Description:

Hiring, Greeting from OpenKyber. Position: AI Platform Architecture Location: Addison, TX and Charlotte, NC Type: Contract We are looking for an AI Platform Architecture a builder who can architect the "factory" where AI is made. Our goal is to build an internal, on-premises AI ecosystem that mimics the capabilities of AWS or Azure. You will be responsible for creating a horizontal platform used by various lines of business to deploy AI projects simultaneously.

Key Responsibilities:

  1. Platform Architecture: Design and develop a "Model-as-a-Service" platform that allows non-experts to use drag-and-drop components to build AI solutions.
  2. RAG-as-a-Service: Build and optimize end-to-end Retrieval-Augmented Generation (RAG) pipelines, including sophisticated chunking strategies and vector database management.
  3. Tooling & Libraries: Develop and maintain MCP (Model Control Protocol) libraries, clients, and servers to connect various data sources to the AI engine.
  4. Infrastructure Management: Help manage and optimize one of the largest on-premise GPU farms in the U.S. banking sector (500+ Nvidia nodes).
  5. Agentic AI: Build a repository for Agentic AI where users can select existing agents or build custom ones for specialized tasks.
  6. CI/CD Integration: Integrate AI deployment pipelines with enterprise-level CI/CD tools like Jenkins and Ansible.
  7. Compliance & Guardrails: Implement corporate-level guardrails and work within Model Risk Management (MRM) frameworks to ensure all AI deployments are secure and compliant.

Required Technical Skills:

  1. Expert Python: Deep, hands-on knowledge is mandatory.
  2. Data Engineering: Extensive experience in massive data ingestion and processing.
  3. RAG Expertise: Deep understanding of vector databases, inferencing, and advanced chunking strategies.
  4. Platform Engineering: Proven experience building tools/platforms that other developers or business units use.
  5. Infrastructure Knowledge: Experience mimicking cloud capabilities (AWS/Azure) within a strictly on-premise environment.
  6. DevOps: Familiarity with Jenkins, Ansible, and automated deployment pipelines.

Experience & Qualifications:

  1. Seniority: This is a senior-level role. We are looking for someone with a proven track record of building production-grade platforms (10-15+ years)
  2. Industry Knowledge: You must stay current with the "latest and greatest" in AI (e.g., rag-less inferencing, agentic frameworks).
  3. Problem Solver: Must be able to take a use case from a business unit and translate it into a scalable platform service.
  4. Experience with Scale: Experience working with large-scale GPU farms and high-volume data environments is highly preferred.

For applications and inquiries, contact: hirings@openkyber.com

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