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Ai Math Jobs in Kansas (NOW HIRING)

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Bachelor's degree in Science, Technology, Engineering or Math (STEM Degree) * 5-10 years of ...

Showing results 41-60

Ai Math information

What is an AI Math specialist?

An AI Math specialist is a professional who applies advanced mathematical concepts and techniques to develop, analyze, and improve artificial intelligence algorithms and models. Their work often involves linear algebra, calculus, probability, statistics, and optimization methods to design effective machine learning and deep learning systems. AI Math specialists collaborate with data scientists, engineers, and researchers to solve complex problems, ensure model accuracy, and enhance the performance of AI-driven solutions.

What are the key skills and qualifications needed to thrive as an AI Math specialist?

To thrive as an AI Math Specialist, you need strong mathematical foundations in linear algebra, calculus, probability, and statistics, typically supported by a degree in mathematics, computer science, or a related field. Proficiency with programming languages like Python, experience with machine learning frameworks (such as TensorFlow or PyTorch), and familiarity with data analysis tools are essential. Critical thinking, problem-solving, and effective collaboration are important soft skills for tackling complex challenges and working in interdisciplinary teams. These skills enable the development, implementation, and optimization of robust AI models and solutions.

How does an AI Math specialist typically collaborate with data scientists and software engineers within a project team?

AI Math specialists play a crucial role in multidisciplinary teams by developing mathematical models and algorithms that underpin AI solutions. They frequently work alongside data scientists to refine statistical methods, validate results, and optimize data processing techniques. Collaboration with software engineers is also common, as AI Math specialists help translate theoretical models into efficient, scalable code for production environments. This teamwork ensures that AI systems are both mathematically sound and technically robust, fostering innovation and effective problem-solving.

What is the difference between Ai Math vs Data Analyst?

AspectAi MathData Analyst
Required CredentialsMathematics, Computer Science, AI certificationsStatistics, Data Analysis, Business Intelligence certifications
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness settings, consulting firms, corporate departments
Industry UsageAI development, machine learning projects, researchData interpretation, reporting, decision support

Ai Math professionals focus on developing algorithms and models using advanced mathematics and AI techniques, often working in research or tech environments. Data Analysts interpret data to provide insights and support business decisions. While both roles require analytical skills, Ai Math emphasizes algorithm creation and AI research, whereas Data Analysts focus on data visualization and reporting.

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

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

Infographic showing various Ai Math job openings in Kansas as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI & Data Platform Engineering Manager

Wichita, KS • On-site

Sierra Nevada Corporation
Guided Missile and Space Vehicle Manufacturing • 5 - 10K employees

$189K - $260K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Sierra Nevada Corporation rating

8.7

Company rating: 8.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

The AI/ML Engineering Manager II leads multiple AI/ML teams or a larger engineering organization. This role provides strategic technical oversight, ensures scalable development of complex ML systems, and drives alignment between engineering efforts and mission-critical program requirements.As SNC's corporate team, we provide the company and its business areas with strategic direction and business support spanning executive management, finance and accounting, operations, human resources, legal, IT, information security, facilities, marketing, and communications.

Responsibilities:

  • Lead the AI/LLM Platform and MLOps engineering team delivering the enterprise AI platform.
  • Provide deep technical guidance on LLM and generative AI architectures, including the LLM gateway, model routing, and agent/workflow orchestration.
  • Oversee integration of ML models and AI capability into enterprise systems and business platforms.
  • Establish strong validation, verification, and compliance processes.
  • Manage resourcing, budgeting, schedules, and risk mitigation.
  • Mentor senior engineers and technical leads.
  • Drive AI/LLM platform capability development and own the long-term technical roadmap for the platform.

Qualifications You Must Have:

  • Bachelor's degree in computer science, mathematics, statistics, engineering, or related STEM field.
  • 6-8+ years of experience in AI/ML or software engineering, including 2+ years in a management role.
  • Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 13 years of related experience is required.
  • Higher level relevant degree may substitute for experience.
  • Demonstrated success leading engineering teams and delivering complex technical programs.
  • Expertise in generative AI/LLM techniques; familiarity with supervised and unsupervised ML for data platform use cases.
  • Experience architecting and optimizing ML pipelines and highperformance systems.
  • Strong understanding of security, compliance, and data governance requirements (CMMC, data classification)
  • Ability to drive cross-functional execution across software, data, and business platform teams.
  • AWS Machine Learning Specialty, Google Professional ML Engineer, or Azure AI Engineer Associate, or equivalent hands-on experience with a major cloud AI/ML platform.
  • CMMC/NIST SP 800171 awareness or equivalent compliance training.

Qualifications We Prefer:

  • Degree in AI/ML, data science, engineering, or related discipline.
  • AWS Solutions Architect (Associate or Professional) or Azure Solutions Architect Expert.
  • Databricks ML Professional, Snowflake SnowPro, or comparable data engineering certifications.
  • Advanced Generative AI or MLOps certifications (DeepLearning.AI, NVIDIA DLI)
  • Experience with LLM gateways, vector databases, agent orchestration frameworks, or prompt evaluation tooling.
  • Experience building or operating an internal LLM gateway, model routing layer, or enterprise AI API platform

Essential Functions:

  • Lead multi-team engineering operations in a hybrid environment.
  • Participate in integration events, customer reviews, and working groups.
  • Travel up to 20% for program execution and external coordination.
  • Provide technical escalation support for complex ML challenges.

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.

Estimated Starting Salary Range: $189,761.74 - $260,922.39. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled.

SNC offers annual incentive pay based upon performance that is commensurate with the level of the position.

SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.

IMPORTANT NOTICE:

To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce.

Learn more about the background check process for Security Clearances.

SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!

SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.


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