Pigment Systems Administrator
Huntress$140,000 - $150,000/year
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries
Requirements
- Serves as a strategic and technical bridge between Digital Channel Experience (DCE) AI technology, IT, and end users
- Expertise as subject matter expert in AI, machine learning, and deep learning, with ability to identify and troubleshoot technical challenges
- Ability to lead design, development, and deployment of Digital Channel’s AI programs
- Knowledge of ethical AI practices and data privacy compliance
- Ability to develop end-to-end test plans and ensure high-quality deliverables
- Stays current with AI and machine learning advancements
- Maintains professional image, demeanor, Credit Union RISE Values, Code of Ethics
- Complies with State, Federal, NCUA rules, Credit Union policies, physical/online security procedures, and maintains confidentiality
Responsibilities
- Provides technical guidance and mentorship to end users, ensuring adherence to best practices
- Collaborates with internal departments to define specifications and knowledge bases, aligning with business objectives
- Monitors system performance and oversees installation, configuration, and maintenance of AI tools and software
- Installs, configures, and maintains AI software and hardware systems
- Monitors and optimizes AI system performance, including KPIs such as accuracy, processing speed, and resource utilization
- Ensures AI models and assistants are trained using relevant data and feedback, assessing and adjusting based on user experience and business needs
- Develops and implements strategies for AI system optimization and makes necessary adjustments
- Maintains up-to-date AI infrastructure and tools; applies system updates and patches
- Ensures secure, efficient data collection, storage, and processing for AI model training and operations
- Conducts regular system inspections to identify performance gaps, vulnerabilities, or improvement opportunities
- Implements and enforces data governance standards, including privacy, access control, and compliance
- Safeguards data integrity and system security through continuous monitoring and proactive mitigation
- Provides application support to end users, resolving issues and offering guidance
- Leads system maintenance, software testing, application troubleshooting, updates, and performance monitoring
- Assists users with system navigation and technical issues; offers training and develops training materials/documentation
- Works with internal departments to gather business requirements and develop functional specifications for AI tools
- Develops mockups, wireframes, and proposals for new machine learning initiatives, ensuring user-centric design
- Analyzes user requests for new features or modifications, evaluating feasibility and system impact
- Develops test plans for AI releases, assistants, and new functionality; creates scenarios, test scripts, test cases; coordinates/participates in testing; analyzes effectiveness; records results; notifies of issues/fixes
- Prepares and delivers system performance and usage reports to leadership; maintains professional communication with users/stakeholders
- Recommends strategic technology improvements based on AI/ML advancements
- Delivers friendly, caring service to internal and external members
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary for the AI Administrator position?
This information is not specified in the job description.
Is this a remote position, or is there a required location?
This information is not specified in the job description.
What key skills are required for the AI Administrator role?
Expertise in AI, machine learning, and deep learning is essential, along with skills in installing/configuring AI systems, monitoring performance KPIs like accuracy and speed, and ensuring data privacy compliance.
What does the work environment or team collaboration look like at Red Hat for this role?
The role involves collaborating with internal departments to define specifications and knowledge bases, providing technical guidance and mentorship to end users, and working across Digital Channel Experience (DCE) AI technology, IT, and end users.
What makes a strong candidate for the AI Administrator position?
Strong candidates will have subject matter expertise in AI, machine learning, and deep learning, experience leading AI program design/deployment, and the ability to troubleshoot technical challenges while ensuring ethical practices and data compliance.
Red Hat
Open-source enterprise software and cloud solutions
About Red Hat
Red Hat specializes in open-source software solutions for large organizations and enterprises, focusing on cloud computing and enterprise software. Its main product, Red Hat OpenShift, is a Kubernetes-based platform that allows businesses to manage containerized applications efficiently across various cloud environments. This platform supports fast deployment and easy integration, helping companies modernize their IT infrastructure without being tied to a single cloud provider. Red Hat operates on a subscription-based model, where clients pay for access to software, updates, and customer support, along with professional services like consulting and training. Additionally, Red Hat offers a marketplace for certified enterprise software compatible with OpenShift, providing tools that enhance application performance and reduce costs. The company's goal is to enable enterprises to effectively manage and scale their IT infrastructure using open-source solutions.
Raleigh, North CarolinaHeadquarters
1993Year Founded
ACQUISITIONCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
10,001+Employees
Benefits
Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
401(k) Company Match
Paid Vacation
Paid Sick Leave
Paid Holidays
Parental Leave
Family Planning Benefits
Tuition Reimbursement
Risks
Competition from SUSE and Canonical in Kubernetes and cloud offerings is intensifying.
Over-reliance on AWS partnerships may limit Red Hat's flexibility and bargaining power.
Rapid AI advancements could outpace Red Hat's current offerings, requiring significant investment.
Differentiation
Red Hat specializes in open-source solutions for enterprise software and cloud computing.
Red Hat OpenShift offers a Kubernetes-based platform for managing containerized applications.
Red Hat's marketplace provides certified enterprise software compatible with OpenShift.
Upsides
Growing demand for hybrid cloud solutions boosts Red Hat's market opportunities.
Expansion in AI and machine learning supports Red Hat's RHEL AI capabilities.
Increased focus on sustainability aligns with Red Hat's resource-efficient open-source solutions.
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