1

Live In Ai Validation Jobs in Wisconsin (NOW HIRING)

WI · On-site

$200 - $250/hr

Lead rapid POC and MVP development to validate AI use cases and de‑risk technical approaches ... live with purpose every day. * In addition to traditional offerings like medical, dental, and ...

New

WI · On-site

$150 - $200/hr

Lead rapid POC and MVP development to validate AI use cases and de‑risk technical approaches ... to live with purpose every day. In addition to traditional offerings like medical, dental, and ...

New

WI · On-site

$100 - $125/hr

Company Overview**KLA is a global leader in diversified electronics for the semiconductor ... This includes data preprocessing, model training, validation, and deployment.* **Scalable ...

... in decision-making. Standards and Best Practices Apply and help evolve standards for AI security, including data protection, access control, model validation, and monitoring within DevSecOps and ...

... in AI implementation and data engineering - Validating data quality and compliance within AI frameworks - Encouraging innovation and embracing change to drive business growth through AI solutions ...

WI · On-site

$125 - $150/hr

... in AI tools, integrations, and data pipelines. Key Responsibilities * Gather, analyze, and document ... Design and validate AI workflows, prompts, decision logic, and integration points with existing ...

AI Control Tower MVP live in production, covering runtime signals, agent inventory, and unified audit log across Copilot Studio, AI Builder, and Power Automate. AgentOps observability in production ...

WI · On-site

$100 - $125/hr

Expertise in AI-enhanced software development methodologies * Experience with AI model evaluation, validation, and responsible deployment * Proficiency in developing custom AI solutions using Azure ...

WI · On-site

$250/hr

Directs and supervises the service HPC engineering functions in designing, developing, installing, and validating hardware and software for the Customer AI High-Performance Computing (HPC) systems.

Showing results 21-40

Live In Ai Validation information

What is a live in AI validation job?

Live In AI Validation jobs involve working closely with artificial intelligence systems to test, review, and improve their performance in real-world settings. Professionals in this role typically monitor the outputs of AI algorithms, validate data quality, and provide feedback to ensure the AI operates accurately and ethically. These jobs may require living on-site or being embedded in environments where the AI is deployed, such as smart homes, research labs, or automated facilities. The goal is to bridge the gap between AI development and real-world application, ensuring the technology is reliable and effective.

What are the key skills and qualifications needed to thrive as a live in AI validation specialist?

To thrive as a Live In AI Validation Specialist, you need a solid background in computer science, data analysis, and machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with tools such as Python, TensorFlow, and data annotation platforms, as well as an understanding of AI validation protocols, is typically required. Attention to detail, critical thinking, and strong communication skills are essential soft skills for ensuring accurate validation and effective collaboration with development teams. These competencies are crucial for maintaining AI system quality, reliability, and alignment with real-world requirements.

What are some common challenges faced by professionals in live in AI validation roles, and how can they be addressed?

Professionals in Live-In AI Validation often encounter challenges such as managing large-scale data collection in real-time environments and ensuring the accuracy of AI outputs in dynamic, real-world settings. Collaboration with data scientists, engineers, and end users is key to troubleshooting unexpected behaviors and improving system reliability. Strong communication and adaptability help team members quickly respond to new scenarios or hardware changes during validation. Staying up-to-date with the latest AI validation tools and continuous feedback loops can also significantly enhance the effectiveness of the validation process.

What is the difference between Live In Ai Validation vs Live In Data Entry?

AspectLive In Ai ValidationLive In Data Entry
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, client-facing, flexible hoursRemote, client-facing, flexible hours
Industry UsageAI, tech, data servicesVarious industries, administrative tasks
Common Search IntentAI validation, data verification jobsData entry, administrative jobs

Live In Ai Validation involves verifying and validating AI-generated data to ensure accuracy, often requiring critical thinking and familiarity with AI tools. In contrast, Live In Data Entry focuses on inputting data into systems, emphasizing speed and accuracy. Both roles are remote and require similar skills but serve different functions within the data management industry.

What are the most commonly searched types of Ai Validation jobs in Wisconsin?

The most popular types of Ai Validation jobs in Wisconsin are:

What are popular job titles related to Live In Ai Validation jobs in Wisconsin?

For Live In Ai Validation jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Live In Ai Validation jobs in Wisconsin look for?

The top searched job categories for Live In Ai Validation jobs in Wisconsin are:

What cities in Wisconsin are hiring for Live In Ai Validation jobs?

Cities in Wisconsin with the most Live In Ai Validation job openings:

Infographic showing various Live In Ai Validation job openings in Wisconsin as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

AI Architect/AI Engineer - Generative & Agentic AI

International Oncology Network Solutions Inc

WI • On-site

$200 - $250/hr

Other

Medical, Dental, Vision

Posted yesterday

New


Job description

Job Details

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere.

About the Role

We are seeking an experienced hands‑on AI Architect to lead the architecture, design, and delivery of enterprise‑scale Generative and Agentic AI solutions. This is a hands‑on architectural leadership role spanning system design, rapid proof‑of‑concept (POC) and MVP delivery, API‑first solution architecture, and technical governance across our AI platform. The ideal candidate combines deep technical depth in LLMs, multi‑agent orchestration, and RAG architecture with the ability to translate business needs into scalable, production‑grade AI systems and to mentor engineering teams along the way.

Key Responsibilities
  • Own end‑to‑end architecture for enterprise Generative AI and Agentic AI solutions, from concept through production.
  • Lead rapid POC and MVP development to validate AI use cases and de‑risk technical approaches before full build‑out.
  • Architect scalable AI platforms leveraging LLMs, RAG pipelines, vector databases, and multi‑agent orchestration frameworks (LangGraph, AutoGen, Semantic Kernel).
  • Design API‑first architectures (REST/GraphQL) that expose AI capabilities to downstream applications and enterprise systems.
  • Define technology selection, architecture standards, and best practices for prompt engineering, model evaluation, and AI governance / Responsible AI.
  • Architect and guide MLOps/LLMOps practices for deployment, monitoring, and model/agent lifecycle management.
  • Lead architecture reviews and present designs to executive sponsors and engineering teams; drive stakeholder alignment.
  • Mentor AI engineers, set coding and architecture standards, and raise the technical bar across the team.
  • Evaluate and select cloud‑native AI services (Azure AI Foundry, Google Vertex AI), balancing scalability, cost, security, and performance.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
  • 6+ years of overall IT experience spanning software engineering, cloud architecture, and/or AI/ML.
  • 3+ years of hands‑on architecture experience specifically in Generative AI / Agentic AI systems.
  • Strong expertise in Python and modern AI development frameworks.
  • Demonstrated experience architecting solutions with LLMs (OpenAI, Claude, Gemini, Llama, or open‑weight models).
  • Deep understanding of RAG architectures, vector databases (Pinecone, FAISS, Databricks Vector Databases, pgvector), and embedding models.
  • Experience architecting on at least one major cloud platform (Azure, AWS, or GCP), including native AI services (Azure AI Foundry / Azure OpenAI, AWS Bedrock, Google Vertex AI).
  • Proven experience with MLOps/LLMOps: CI/CD, containerization (Docker/Kubernetes), observability, and evaluation frameworks.
  • Strong grounding in AI governance, security, compliance, and Responsible AI practices.
  • Excellent communication skills, with the ability to present architecture to both executives and engineers.
Preferred Qualifications
  • Experience designing state management and persistent memory for long‑running autonomous agents.
  • Familiarity with Model Context Protocol (MCP) and emerging AI agent ecosystems.
  • Experience with AI observability / evaluation tooling (LangSmith, Ragas, Langfuse, or custom eval harnesses).
  • Prior consulting, client‑facing, or forward‑deployed architecture experience.
  • Relevant cloud certifications (Azure AI Engineer/Architect, AWS ML Specialty, Google Professional ML Engineer).
  • Experience with NL‑to‑SQL, knowledge graphs, or GraphRAG‑style architecture.
HEALTHCARE DOMAIN PREFERENCE

We strongly prefer candidates who bring healthcare knowledge alongside their AI expertise. Our AI platforms are architected on healthcare distribution and specialty pharmacy data - experience with healthcare distribution, specialty pharma data, or healthcare EMR/EHR systems (HL7, FHIR, claims, NDC-level data) is a significant advantage.

What Cencora offers
  • We provide compensation, benefits, and resources that enable a highly inclusive culture and support our team members’ ability to live with purpose every day.
  • In addition to traditional offerings like medical, dental, and vision care, we also provide a comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness.
  • This encompasses support for working families, which may include backup dependent care, adoption assistance, infertility coverage, family building support, behavioral health solutions, paid parental leave, paid caregiver leave.
  • To encourage your personal growth, we also offer a variety of training programs, professional development resources, and opportunities to participate in mentorship programs, employee resource groups, volunteer activities, and much more.
Full time Equal Employment Opportunity

Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.

The company’s continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non‑discriminatory.

Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements.

If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email hrsc@cencora.com. We will make accommodation determinations on a request‑by‑request basis.

Messages and emails regarding anything other than accommodations requests will not be returned.

Affiliated Companies

Affiliated Companies: International Oncology Network Solutions IncCencora is a leading global pharmaceutical solutions company that is committed to improving the lives of people and animals everywhere. We connect manufacturers, providers, and patients to ensure that anyone can get the therapies they need, where and when they need them. We’re a purpose‑driven organization, where all of our team members around the world are united in our responsibility to create healthier futures. We work together every day to help our partners bring their innovations to patients worldwide, creating unparalleled access and impact at the center of health.

Visit https://www.virtualfairhub.com/cencora

#J-18808-Ljbffr