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Ai Risk Jobs in Tennessee (NOW HIRING)

Commercial Counsel

Memphis, TN · Remote

$80 - $105/hr

... state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment. Key ...

Commercial Counsel

Nashville, TN · Remote

$80 - $105/hr

... state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment. Key ...

Define AI governance frameworks covering model risk, data privacy, lineage, explainability, bias detection, and regulatory compliance. * Ensure alignment with security, legal, and regulatory ...

AI Architect

Nashville, TN · On-site

$60.75 - $80.25/hr

Establishes testing and validation protocols for AI outputs, including accuracy benchmarking, hallucination detection, edge case coverage and compliance with the Firm's quality and risk standards.

AI Data Engineer - Manager

Nashville, TN · On-site

$110K - $132K/yr

Risk Management and Ethical Considerations * Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations.

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Ai Risk information

What is the difference between Ai Risk vs Data Scientist?

AspectAi RiskData Scientist
Required CredentialsBackground in AI, risk management, certifications in AI safetyDegree in Computer Science, Statistics, or related fields; certifications in data analysis
Work EnvironmentRisk assessment teams, AI development projects, regulatory settingsData analysis teams, research labs, tech companies
Employer & Industry UsageTech firms, AI safety organizations, regulatory agenciesTech companies, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding AI risk roles, career differencesData analysis careers, AI safety roles

Ai Risk professionals focus on identifying and mitigating risks associated with artificial intelligence systems, often working in safety, ethics, and regulatory contexts. Data Scientists analyze large datasets to extract insights, build models, and support decision-making across various industries. While both roles require technical skills, Ai Risk emphasizes safety and ethical considerations, whereas Data Scientists focus on data analysis and modeling.

What are the most commonly searched types of Ai Risk jobs in Tennessee? The most popular types of Ai Risk jobs in Tennessee are:
What are popular job titles related to Ai Risk jobs in Tennessee? For Ai Risk jobs in Tennessee, the most frequently searched job titles are:
What cities in Tennessee are hiring for Ai Risk jobs? Cities in Tennessee with the most Ai Risk job openings:

Full-time

Posted 10 days ago


Job description

Job Summary:
Stralynn Consulting Services, Inc is seeking a highly collaborative and strategic AI Specialist to lead the implementation of an AI Acceleration program for clients. This role focuses on transforming product portfolios through AI innovation, process optimization, and cross-department collaboration to deliver quantifiable business value.
Responsibilities:
• High-Fidelity MVP Development: Partner directly with Product Managers across primary portfolios to rapidly develop functional, data-interactivity prototypes using modern AI environments (e.g., Claude Code, Cursor, v0, Lovable).
• Strategy & Discovery Validation: Guide product teams in using active, running prototypes to stress-test business requirements and validate features before handing product requirements over to engineering.
• Sourcing & Data Integration: Collaborate with technical leads to map and verify data accessibility pipelines, ensuring prototyping sandboxes safely read and mirror enterprise benchmarking datasets
• Collaborate closely with technical, product, and data teams to move solutions from pilot to scaled deployment.
• Help organizations adopt new AI-enabled ways of working through training, change management, and stakeholder engagement
• Educate business teams on how to effectively and responsibly leverage AI tools and solutions
• Develop documentation, playbooks, and best practices to support scalable adoption
• Partner with legal, risk, and compliance stakeholders to support responsible AI implementation.
Qualifications:
Required:
• 4–7 years of experience in consulting, business transformation, product, operations, program delivery, or technology-related roles
• Bachelor’s degree required
• Experience supporting digital, data, automation, or AI-related initiatives in a consulting or enterprise environment
• Prototyping Tool Mastery: Expert-level capability with modern AI-native development environments, component builders, and code generation platforms (Claude Code, Cursor, v0, Lovable)
• AI & Data Foundations: Solid understanding generative AI concepts, including LLMs, AI agents, copilots, automation workflows, and enterprise AI adoption challenges and structural enterprise data concepts (SQL, data cleansing, and mapping variables)
• Product Development Lifecycle: Exhaustive familiarity with standard Agile product discovery frameworks, user persona validation, and user experience design principles
• Cross-Functional Diplomacy: Exceptional interpersonal and relationship management capabilities, with a history of bridging gaps between corporate leadership and engineering teams
• Outcome-Centric Philosophy: A rigorous product-first mentality focused on translating technological capabilities into quantifiable, high-impact business results
• Innovation Curiosity: Persistent fascination with the evolving AI landscape and a proactive drive toward rapid experimentation and continuous skill acquisition
Preferred:
• Process Transformation exposure: Familiarity with Agile delivery frameworks or large-scale digital modernization initiatives is preferred
• Systemic Integration Expertise: Prior exposure to large-scale enterprise architectures, including CRM environments, data infrastructure, and complex operational pipelines, is highly valued
Company:
STRALYNN, a pioneer in Digital Transformation, has a mission to bridge the chasm of digital and legacy operational models. Founded in 2021, the company is headquartered in Nashville, USA, with a team of 11-50 employees. The company is currently Early Stage.