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Ai Alignment Jobs in Tennessee (NOW HIRING)

Develop and maintain the enterprise AI roadmap aligned with business objectives. * Evaluate new AI technologies, frameworks, and vendors to support innovation. * Define governance frameworks for ...

Identify adoption barriers, change management needs, workflow dependencies, tool limitations, and stakeholder alignment risks; recommend practical mitigation actions.   AI Champion Network ...

Identify adoption barriers, change management needs, workflow dependencies, tool limitations, and stakeholder alignment risks; recommend practical mitigation actions.   AI Champion Network ...

Identify adoption barriers, change management needs, workflow dependencies, tool limitations, and stakeholder alignment risks; recommend practical mitigation actions.   AI Champion Network ...

Identify adoption barriers, change management needs, workflow dependencies, tool limitations, and stakeholder alignment risks; recommend practical mitigation actions.   AI Champion Network ...

Align product objectives with the product line and business goals. * Co-create in collaboration with business stakeholders, engineering, experience, and delivery. * Use AI to expedite research ...

The AI Legal Engineer is responsible for partnering with subject matter experts to design, build ... Embed human-review checkpoints and audit mechanisms aligned with Firm governance, confidentiality ...

The AI Legal Engineer is responsible for partnering with subject matter experts to design, build ... Embed human-review checkpoints and audit mechanisms aligned with Firm governance, confidentiality ...

AI Engineer

Nashville, TN Β· On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

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 ...

Showing results 21-40

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 Tennessee?

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

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

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

What cities in Tennessee are hiring for Ai Alignment jobs?

Cities in Tennessee with the most Ai Alignment job openings:

Infographic showing various Ai Alignment job openings in Tennessee as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Architect

Nashville, TN β€’ On-site

Other

This job post hasΒ expired 1 day ago.Β Applications are no longer accepted.


Job description

AI Architect

12-15 Years Experience

Job Description

The AI Architect / AI Lead will be responsible for defining the AI strategy, designing scalable AI/ML architectures, and leading end-to-end implementation of AI solutions across the organization. This role involves deep technical expertise, strategic leadership, and collaboration with cross-functional teams to drive the adoption of AI responsibly and effectively.

Key Responsibilities
  • Develop and maintain the enterprise AI roadmap aligned with business objectives.
  • Evaluate new AI technologies, frameworks, and vendors to support innovation.
  • Define governance frameworks for responsible AI, privacy, security, and ethics.
  • Lead AI/ML initiatives across multiple business units.
  • Define MLOps frameworks for continuous training, deployment, monitoring, and lifecycle management.
  • Architect data pipelines, vector databases, LLM orchestration, and retrieval-augmented generation (RAG) systems.
  • Select appropriate models (LLMs, CV, NLP, Generative AI, predictive analytics) based on business needs.
  • Provide technical leadership for building and deploying AI applications.
  • Work with data scientists, ML engineers, and software teams to deliver production-grade models.
  • Optimize AI workloads for cost, performance, and scalability.
  • Oversee integration of AI into products, platforms, and enterprise systems.
  • Translate business challenges into AI use cases with measurable outcomes.
  • Work with product owners, data teams, and business leaders to prioritize initiatives.
  • Present AI strategy and technical recommendations to executives and leadership teams.
  • Ensure compliance with data protection laws (GDPR, HIPAA, DPDP, etc.).
  • Create explainability and transparency frameworks for AI decisions.
  • Implement controls to prevent bias, model drift, and data misuse.
Requirements

Required Skills & Experience:

Technical Skills

  • 12–15+ years of overall experience, with 4+ years in AI/ML architecture or leadership roles.
  • Strong understanding of machine learning, deep learning, NLP, LLMs, RAG, transformers.
  • Cloud platforms: Azure AI, AWS Sagemaker, or Google Vertex AI.
  • Programming: Python, SQL; familiarity with TensorFlow/PyTorch.
  • Experience designing enterprise-grade AI systems and microservices architectures.

Soft Skills

  • Strong communication and stakeholder-management skills.
  • Ability to balance technical depth with strategic thinking.
  • Leadership experience with cross-functional teams.

Preferred Qualifications

  • Master’s or bachelor’s degree in Computer Science, AI, Data Science, or related fields.
  • Certifications in cloud (Azure AI Engineer, AWS ML Specialty, etc.).
  • Experience implementing generative AI and LLM solutions in production.
  • Background in industry-specific domains (finance, telecom, retail, healthcare, etc.).

Kanini Software Solutions, Inc. does not discriminate in employment matters on the basis of race, gender, religion, age, national origin, citizenship, veteran status, family status, disability status, or any other protected class. We support workplace diversity. If you have a disability, please let us know if there is anything we can do to improve the interview process for you; we’re happy to accommodate. Kanini Software Solutions, Inc., 25 Century Blvd., Ste. 602, Nashville, TN 37214.

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