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Explainable Ai Jobs in Utah (NOW HIRING)

Atlassian

Senior Data Engineer, DX

Magna, UT · On-site +1

$103K - $140K/yr

Design and optimize data models tailored to the recurring analyses behind our AI Impact Reports, DX ... explainable, and competitive compensation programs. We follow consistent hiring practices and ...

Atlassian

Senior Data Engineer, DX

Magna, UT · On-site +1

$103K - $140K/yr

Design and optimize data models tailored to the recurring analyses behind our AI Impact Reports, DX ... At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We ...

Atlassian

Senior Data Engineer, DX

Magna, UT · On-site +1

$103K - $140K/yr

Design and optimize data models tailored to the recurring analyses behind our AI Impact Reports, DX ... explainable, and competitive compensation programs. We follow consistent hiring practices and ...

All JobsExplainable Ai JobsExplainable Ai Jobs in Utah

Explainable Ai information

What is Explainable AI?

Explainable AI (XAI) refers to methods and techniques in artificial intelligence that make the results of AI models understandable and interpretable by humans. XAI aims to provide transparency into how AI systems make decisions, helping users trust and effectively manage AI applications. This is especially important in fields like healthcare, finance, and law, where understanding the reasoning behind AI-driven outcomes can be crucial for accountability and compliance. By making AI more transparent, XAI also helps identify and address biases or errors in AI systems.

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

To thrive as an Explainable AI specialist, you need a strong background in machine learning, data science, and statistics, typically with an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and libraries like LIME or SHAP, as well as experience in model interpretability tools, is essential. Strong analytical thinking, effective communication, and the ability to translate complex technical concepts for non-technical stakeholders are crucial soft skills. These capabilities ensure that AI models are transparent, trustworthy, and can be responsibly integrated into decision-making processes.

What are some of the typical challenges faced when working in Explainable AI and how do professionals address them?

Professionals in Explainable AI often encounter challenges such as balancing model accuracy with interpretability, translating complex model outputs into understandable insights for non-technical stakeholders, and ensuring transparency without compromising sensitive data. Addressing these issues typically involves using specialized tools and frameworks for visualization, collaborating closely with data scientists, domain experts, and business teams, and staying updated on the latest research in model interpretability. Continuous learning and open communication are key to overcoming these challenges and delivering AI solutions that are both effective and trustworthy.

What is the difference between Explainable Ai vs Data Scientist?

AspectExplainable AiData Scientist
CredentialsTypically requires knowledge of AI, machine learning, and data analysis; certifications like AI or ML courses are commonRequires degrees in computer science, statistics, or related fields; certifications in data analysis or machine learning are beneficial
Work EnvironmentWorks within AI development teams, focusing on model transparency and interpretabilityWorks across data analysis, model building, and business insights, often in research or corporate settings
Industry UsageUsed in AI development, healthcare, finance, and any field requiring transparent AI modelsApplied in tech, finance, healthcare, and research for data-driven decision making

Explainable Ai focuses on making AI models transparent and understandable, ensuring trust and compliance. Data Scientists develop and analyze models, often working with complex data. While both roles involve AI and data, Explainable Ai specialists emphasize interpretability, whereas Data Scientists focus on model creation and insights.

What are popular job titles related to Explainable Ai jobs in Utah?

For Explainable Ai jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Explainable Ai jobs in Utah look for?

The top searched job categories for Explainable Ai jobs in Utah are:

What cities in Utah are hiring for Explainable Ai jobs?

Cities in Utah with the most Explainable Ai job openings:

Explainable Ai jobs near you
Infographic showing various Explainable Ai job openings in Utah as of August 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Product Manager, Internal Transformations

Salt Lake City, UT • Remote

Teleperformance USA
Call Centers • 10K+ employees

5.5

Company rating: 5.5 out of 10

Based on 189 frontline employees who took The Breakroom Quiz

46th of 72 rated call and contact centers

Paid breaks

Respectful managers

Uninterrupted breaks

Learn more about Teleperformance USAexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

Category : AI Manager

Application Deadline: Ongoing until positions are filled.

to apply, please visit the TP Careers site at https://www.tp.com/en-us/careers.

About TP

TP is a leading global provider of digital business services. We partner with the world's most prominent brands to optimize operations through advanced technology and sustainable business practices. With a global workforce of 500,000 across 300 languages, we are a force for good in our communities and for our clients.

Benefits of working with TP include

TP offers benefits to you and your family. Eligible team members can take advantage of our comprehensive health benefits, which may include medical, vision, and dental.

We invest in and prioritize the mental health and well-being of our team members by providing resources, including Employment Assistance Programs, space in the form of health and personal time off (HPT), and leave programs as eligible.

We offer benefits and tools to help our team members and their families for their financial future. This includes offering competitive 401(K) plans, life insurance, supplemental medical coverage, critical care insurance, pet insurance, FSA plans, and retailer discounts.

Career Growth and Culture

At TP, we prioritize a culture of inclusion and diversity where every employee feels valued. We provide a platform for limitless career advancement, fostering an environment where ambition and high performance lead to long-term success. 

TP is committed to supporting those who serve. We welcome applications from active-duty service members, veterans, and military families. 

Equal Opportunity Employer 

TP is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

If you require reasonable accommodation during the application process, please contact us at 877-877-3944 or contact us here.  Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation-related requests.

Purpose 

The AI Product Manager is responsible for defining, building, and scaling AI-powered products within TP’s global product ecosystem. This role partners closely with AI Engineering, Data Science, Architecture, UX, and Business Units to translate business needs into secure, scalable, and high-impact AI solutions. 

The AI Product Manager owns product discovery, roadmap execution, and performance optimization, ensuring AI products deliver measurable outcomes such as efficiency gains, automation, and experience improvements. The role focuses on strong human-AI orchestration, responsible AI practices, and alignment with TP’s AI strategy. 

This position is 100% work at home. While this position will be working from home, this candidate must be located within the US and be eligible to work in the US without sponsorship. 

Your Responsibilities 

  • AI Product Strategy & Roadmap Execution:  
  • Contribute to the definition and execution of AI product roadmaps across horizontal and vertical solutions. 
  • Translate business problems into clear AI product requirements, user stories, and success metrics. 
  • Prioritize features and initiatives based on impact, feasibility, and strategic alignment. 
  • End-to-End AI Product Lifecycle Ownership 
  • Own the product lifecycle from discovery and experimentation to launch, monitoring, and continuous improvement. 
  • Partner with engineering and data teams to validate AI feasibility, model selection, and orchestration approaches. 
  • Ensure products are scalable, secure, explainable, and production-ready. 
  • Cross-Functional Delivery 
  • Work closely with AI Engineering, Architecture, Data Science, UX, PMO, and Business Units to deliver AI solutions on time and at quality. 
  • Act as the primary product point of contact for assigned AI initiatives. 
  • Support adoption through clear documentation, enablement materials, and stakeholder alignment. 
  • AI Performance & Product Business Impact 
  • Define and track product KPIs such as AHT reduction, automation rate, CSAT improvement, and cost efficiency. 
  • Analyze performance data and user feedback to inform product iterations and enhancements. 
  • Support ROI measurement and value realization for AI initiatives. 
  • Responsible & Ethical AI 
  • Ensure AI products comply with security, data privacy, and responsible AI governance standards. 
  • Collaborate with Legal, Security, and Compliance teams during product design and deployment.

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