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Ai Monitoring Jobs in Kansas (NOW HIRING)

Torch.AI

AI/ML Engineer II

Leawood, KS · On-site

$120 - $160/hr

Support deployment, monitoring, and versioning of ML models as part of a disciplined MLOps ... AI is an Equal Opportunity / Aff #J-18808-Ljbffr

Actalent

Ai Architect

Olathe, KS

AI Architect This role leads the exploration, design, and implementation of AI and automation ... Own code quality, monitoring, documentation, and handoff standards for all automation solutions to ...

Lightedge

Sr. AI Integration Engineer

Lenexa, KS

$97K - $131K/yr

Monitor, evaluate, and optimize the accuracy, reliability, cost, and business effectiveness of deployed AI workflows and integrations. * Documentation: Maintain clear technical documentation ...

Guida's Dairy

Sr. Systems Engineer - AI

Kansas City, KS

$100K - $137K/yr

Implement and maintain monitoring, logging, and alerting aligned to enterprise ITOM practices * Define and track service health, performance, and data quality metrics for AI-enabled services

Dairiconcepts, L.P.

AI Enterprise Architect

Kansas City, KS

$66.50 - $85.75/hr

Handson understanding of MLOps, monitoring, scalability, and cost governance * Advanced knowledge of enterprise security, privacy, and compliance as they apply to AI systems * Proven ability to ...

Guida's Dairy

AI Enterprise Architect

Kansas City, KS

$66.50 - $85.75/hr

Handson understanding of MLOps, monitoring, scalability, and cost governance * Advanced knowledge of enterprise security, privacy, and compliance as they apply to AI systems * Proven ability to ...

Medium

Senior AI Engineer

Toronto, KS · On-site

$88.09 - $117.45/hr

Architect and implement AI-powered features end-to-end, from model integration and prompt engineering to deployment, monitoring, and iteration * Integrate LLM APIs, ML models, and intelligent ...

RadNet, Inc.

AI Enterprise Architect

Kansas City, KS · On-site

$120 - $175/hr

Hands ‑ on understanding of MLOps, monitoring, scalability, and cost governance * Advanced knowledge of enterprise security, privacy, and compliance as they apply to AI systems * Proven ability to ...

Conflux Systems

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

Title: Lead Data Engineer (with AI. ML, Python, Java, Kafka) Location: Leawood, KS Description ... Strong understanding of CI/CD pipelines, monitoring, logging, and tracing using tools like Datadog.

Kiewit Corporation

Sr AI Engineer

Lenexa, KS · On-site +1

$98K - $134K/yr

Implement observability, monitoring, logging, and troubleshooting for AI services. * Optimize platform performance, scalability, reliability, and cost. * Mentor junior engineers through code reviews ...

Guida's Dairy

Sr. Data Engineer - AI

Kansas City, KS

$110K - $132K/yr

Own key AI data infrastructure components and ensure they are scalable, maintainable, and supported by effective monitoring, logging, documentation, data lineage, and quality metrics * Apply ...

Harris

$70K - $100K/yr

Identify and mitigate potential risks in our AI systems, such as data bias and model drift, and establish robust monitoring to track performance. * Be a Thought Leader: Stay ahead of emerging AI ...

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Ai Monitoring information

What is AI monitoring?

AI monitoring refers to the process of continuously observing and analyzing artificial intelligence systems to ensure they operate as intended. This includes tracking performance, detecting anomalies, ensuring compliance with ethical guidelines, and identifying potential biases or errors. Effective AI monitoring helps organizations maintain transparency, improve system reliability, and ensure that AI models make fair and accurate decisions. It is essential in applications where AI impacts critical business or societal outcomes.

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

Professionals in AI Monitoring often encounter challenges such as managing large volumes of data, identifying and responding to atypical model behavior, and ensuring compliance with ethical and regulatory standards. Staying updated on the latest AI trends and best practices, utilizing robust monitoring tools, and collaborating closely with data scientists and engineers can help address these challenges. Regular training and open communication within cross-functional teams are also essential to maintain effective oversight and quickly mitigate potential issues.

What are the key skills and qualifications needed to thrive as an AI monitoring specialist, and why are they important?

To thrive as an AI Monitoring Specialist, you need a solid understanding of data analysis, machine learning concepts, and system monitoring, often supported by a degree in computer science or a related field. Familiarity with monitoring platforms like Datadog, Prometheus, or Splunk, as well as experience with scripting languages and AI model management tools, is typically required. Attention to detail, critical thinking, and strong communication skills help specialists identify issues quickly and collaborate with technical teams. These skills and qualities are crucial for ensuring AI systems operate reliably, securely, and efficiently in real-world applications.

What is the difference between Ai Monitoring vs Data Analyst?

AspectAi MonitoringData Analyst
Required CredentialsTypically requires knowledge of AI systems, programming, and data analysis toolsRequires statistical, analytical, and data visualization skills, often with a degree in data science or related fields
Work EnvironmentOften involves monitoring AI systems in real-time, using specialized software, in tech or AI-focused companiesAnalyzes data sets, creates reports, and provides insights, working in various industries like finance, marketing, or healthcare
Employer & Industry UsageCommon in AI development firms, tech companies, and organizations deploying AI solutionsWidely used across industries for decision-making, reporting, and strategic planning

While both roles involve working with data, Ai Monitoring focuses on overseeing AI system performance and ensuring operational accuracy, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Ai Monitoring jobs in Kansas?

For Ai Monitoring jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Ai Monitoring jobs in Kansas look for?

The top searched job categories for Ai Monitoring jobs in Kansas are:

Ai Monitoring jobs near you
Infographic showing various Ai Monitoring job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

AI/ML Engineer II

Torch.AI

Leawood, KS • On-site

$120 - $160/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Location

HQ – Leawood, KS 66211 (primarily headquarters; some hybrid/remote positions available in Arlington, VA, Washington, DC, and Maryland with up to 10% travel)

Position Type

Full‑Time – Clearance Eligible

Security Clearance

Eligible for Secret, Top Secret, or Top Secret/SCI clearance. U.S. citizenship required. No visa sponsorship.

What You’ll Do
  • Design and implement end‑to‑end ML workflows supporting semantic search, classification, entity resolution, and retrieval.
  • Build production‑ready AI services with strong attention to reliability, testability, and maintainability.
  • Develop and tune embedding pipelines, retrieval systems, and retrieval‑augmented generation (RAG) components.
  • Collaborate with data engineering and backend teams to integrate ML capabilities into scalable systems.
  • Implement evaluation workflows tied to measurable mission performance (accuracy, latency, robustness).
  • Support deployment, monitoring, and versioning of ML models as part of a disciplined MLOps lifecycle.
  • Participate in architecture discussions and propose solutions aligned to platform constraints and mission needs.
Core Skills & Qualifications
  • B.S. or M.S. in Computer Science, Engineering, or related technical field.
  • 3–6 years of experience building applied ML systems or NLP workflows.
  • Strong Python development skills; production‑quality services.
  • Experience training, tuning, evaluating, and deploying ML models.
  • Familiarity with modern ML/NLP libraries (Transformers, spaCy, scikit‑learn, PyTorch).
  • Exposure to cloud environments and containerized deployment patterns.
  • Strong communication skills and ability to collaborate across teams.
Additional Valuable Experience
  • Experience with embeddings, vector search, RAG, and semantic retrieval systems.
  • Familiarity with MLflow, DVC, Kubeflow, SageMaker, or similar tooling.
  • Experience with graph‑based retrieval, agentic systems, or tool‑use architectures.
  • Experience supporting defense, intelligence, ISR, or mission environments.
Benefits
  • Competitive base salary.
  • Quarterly performance bonuses.
  • Equity participation within first 12 months.
  • Unlimited PTO + 11 paid company holidays.
  • Professional development opportunities.
  • Weekly in‑office catering at HQ.
  • 401(k) plan (no current employer match, under consideration).
  • PPO, HSA, and TRICARE Supplement medical options.
  • Above‑market HSA, FSA, and Dependent Care FSA options.
  • Dental and vision plans above national averages.
  • Employer‑paid life insurance (1× salary).
  • Employer‑paid Short‑Term and Long‑Term Disability.
  • Voluntary Accident, Critical Illness, and Hospital Indemnity coverage.
  • Up to $300/month in tax‑advantaged commuter benefits.
EEO & Equity

Torch.AI is an Equal Opportunity / Aff

#J-18808-Ljbffr
TORCH.AI logo

About TORCH.AI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

11 - 50 Employees

Headquarters location

Leawood, KS, US

Year founded

2017

Social media

Twitter

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