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Ai Alignment Jobs in Kansas (NOW HIRING)

Deloitte

AI Security Engineer Manager

Wichita, KS · On-site

Contribute to alignment and informed decision-making. Impact This role directly contributes to reducing enterprise risk and strengthening trust in AI systems. Your work will enable secure adoption of ...

Propio

AI/LLM Safety Engineer

Overland Park, KS · On-site

Prepare evidence for governance reviews--test reports, evaluation summaries, and mitigation validation--aligned with internal Responsible AI standards. * Collaborate with Product and UX to improve ...

Parexel

When our values align, there's no limit to what we can achieve. At Parexel, we all share the same ... As Director, AI Translation & Adoption, you will serve as the connective tissue between our AI ...

Propio

AI/LLM Safety Engineer

Overland Park, KS · On-site

Prepare evidence for governance reviews-test reports, evaluation summaries, and mitigation validation-aligned with internal Responsible AI standards. * Collaborate with Product and UX to improve ...

Relativity

Legal AI Advisor

Wichita, KS · On-site

Partner with Pre-Sales Engineers and Account Executives to support discovery, positioning, and solution alignment * Lead tailored product demonstrations that connect Relativity's AI capabilities to ...

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Ai Alignment information

What is AI alignment?

AI alignment refers to the process of ensuring that artificial intelligence systems act in ways that are aligned with human values, intentions, and ethical standards. This field focuses on designing AI models that not only achieve their objectives but also do so safely and beneficially for humanity. As AI systems become more advanced, alignment becomes increasingly important to prevent unintended consequences or harmful behaviors. Researchers in AI alignment work on technical solutions, such as value learning and interpretability, as well as broader ethical and policy considerations.

What are some common challenges faced by professionals working in AI alignment roles?

Professionals in AI alignment roles often encounter the challenge of translating complex ethical principles and human values into machine-understandable objectives. Balancing technical constraints with theoretical considerations requires close collaboration with cross-functional teams, including ethicists, engineers, and product managers. Additionally, the rapidly evolving landscape of artificial intelligence demands continuous learning to stay current with new alignment techniques and research findings. Navigating these challenges can be intellectually stimulating and offers significant opportunities for interdisciplinary growth.

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

To thrive as an AI Alignment Specialist, you need a strong background in computer science, mathematics, and machine learning, often evidenced by an advanced degree in a related field. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and formal verification systems is typically required, along with understanding of AI safety principles. Analytical thinking, ethical reasoning, and effective communication are crucial soft skills for success in this role. These skills ensure that AI systems are developed safely, ethically, and in alignment with human values, which is essential for mitigating risks associated with advanced AI.

What is the difference between Ai Alignment vs Data Scientist?

AspectAi AlignmentData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fieldsDegree in Data Science, Statistics, Computer Science, or related fields
Work EnvironmentResearch labs, AI development companies, tech firmsTech companies, finance, healthcare, consulting firms
Industry UsageFocuses on ensuring AI systems behave as intendedAnalyzes data to extract insights and build predictive models

While both roles involve advanced technical skills, Ai Alignment specialists focus on aligning AI systems with human values and safety, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI research environments but serve different primary objectives.

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

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

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

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

Ai Alignment jobs near you
Infographic showing various Ai Alignment 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.

Sr. Data Engineer - AI

Kansas City, KS • On-site

Dairy Farmers of America, Inc.
See more jobs at Dairy Farmers of America, Inc.external

$110K - $132K/yr

Full-time

Posted 28 days ago

Dairy Farmers Of America rating

7.2

Company rating: 7.2 out of 10

Based on 169 frontline employees who took The Breakroom Quiz

Job description

Serve in a senior-level technical role designing, building, and supporting secure, scalable data pipelines that connect enterprise data sources to AI/ML models. Ensure data is accurate, current, compliant, and aligned with enterprise AI governance standards while independently solving complex integration challenges and advancing data engineering best practices. Provide practical front-end development support using TypeScript, JavaScript, Vue, and Quasar to help deliver intuitive AI-enabled applications.
Job Duties and Responsibilities:
  • Design, build, and optimize scalable ETL/ELT pipelines that ingest, transform, and integrate structured and unstructured enterprise data for AI/ML model training and inference
  • Ensure data is accurate, current, reliable, and secure through cleansing, normalization, validation, automation, continuous updates, monitoring, and error handling
  • Troubleshoot complex integration and performance issues, remove bottlenecks, and apply appropriate techniques such as caching, distributed processing, and specialized ETL patterns
  • 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 enterprise architecture, AI governance, privacy, security, coding, and CI/CD standards to data solutions and communicate risks or limitations to leadership
  • Partner with Software engineers, data architects, domain experts, product teams, and platform teams to align data solutions with model requirements, business goals, and enterprise standards
  • Develop and support front-end components for AI-enabled applications using TypeScript, JavaScript, Vue, and Quasar to deliver intuitive, maintainable user experiences
  • Independently deliver assigned work, influence cross-team decisions, promote data engineering best practices, and evaluate technologies that improve AI data delivery
  • The requirements herein describe the general nature and level of work performed by the employee but are not a complete list of responsibilities, duties, and skills required. Other duties may be assigned as needed

Minimum Requirements:
Education and Experience
  • Undergraduate degree in Computer Science, Data Engineering, Information Systems, or related field
  • 8+ years data engineering, software development, or related experience, including work on data pipelines for AI/ML systems
  • Proficiency with data engineering languages, platforms, and orchestration tools such as Python, SQL, PySpark, Snowflake, Databricks, and Apache Airflow
  • Experience developing or supporting modern single-page applications using TypeScript or JavaScript, preferably with Vue and Quasar, including component-based design and API integration
  • Strong knowledge of relational and NoSQL databases, data warehouses or data lakes, integration platforms such as Azure Data Factory, and streaming technologies such as Kafka
  • Experience with at least one major cloud data ecosystem, preferably Azure, and familiarity with infrastructure-as-code and automated deployment practices
  • Proven ability to design and implement ETL/ELT pipelines, manage databases or data lakes, and integrate large-scale data systems
  • Certifications in cloud data engineering or in data privacy/security and experience with MLOps or AI/ML lifecycle management preferred

Knowledge, Skills and Abilities
  • Must be willing to travel 15-25% (1-2 times per quarter)
  • Deep knowledge of data engineering and AI/ML pipeline practices, including the ability to design and optimize scalable, reliable, and efficient data solutions
  • Strong understanding of data quality, governance, privacy, security, and regulatory requirements
  • Able to independently analyze and troubleshoot complex data and integration issues and apply creative, data-driven solutions when standard approaches are insufficient
  • Able to align technical solutions with business priorities, including speed, cost, risk, reliability, and desired outcomes, and exercise sound judgment in situations with limited precedent
  • Able to communicate complex technical concepts clearly, collaborate across teams, and build stakeholder trust through transparency and reliable delivery
  • Able to lead technical initiatives, document approaches clearly, influence peers, and promote adoption of standards and best practices
  • Practical ability to develop and support accessible, responsive single-page applications using TypeScript or JavaScript, preferably Vue and Quasar, with reusable components and API integration
  • Must be able to read, write, and speak English

An Equal Opportunity Employer including Disabled/Veterans

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