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Explainable Ai Jobs in Manvel, TX (NOW HIRING)

Hexagon AB

Principal AI/ML Software Engineer

Houston, TX · On-site

$128K - $172K/yr

... explainable systems for regulated environments What You'll Build • LLM evaluation frameworks ... AI systems autonomously handling document review and compliance workflows • GenAI document ...

NAVA Software Solutions

Data/AI Lead

Houston, TX · On-site

Commitment to ethical AI practices, ensuring AI systems are transparent, explainable, and free from biases to promote fairness, accountability, and transparency in AI applications * Responsible for ...

Persona AI

Autonomy Engineer

Houston, TX · On-site

$99K - $137K/yr

Houston, TX Travel: 10% Who We Are Persona AI is building humanoid robots for the most demanding ... Design and implement behavior execution that is reactive, safe, adaptable, and explainable

Hexagon AB

Lead Data Scientist

Houston, TX · On-site

Understanding of ethical AI and building trustworthy, explainable systems for regulated environments #LI-PB1 LI-Remote ote About Octave Octave provides mission-critical software that empowers ...

All JobsExplainable Ai JobsExplainable Ai Jobs in Manvel, TX

Explainable Ai information

See Manvel, TX salary details

$67.3K

$105.4K

$147.2K

How much do explainable ai jobs pay per year?

As of Aug 22, 2026, the average yearly pay for explainable ai in Manvel, TX is $105,377.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $119,500.00 per year, depending on experience, location, and employer.

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 job categories do people searching Explainable Ai jobs in Manvel, TX look for?

The top searched job categories for Explainable Ai jobs in Manvel, TX are:

What cities near Manvel, TX are hiring for Explainable Ai jobs?

Cities near Manvel, TX with the most Explainable Ai job openings:

Explainable Ai jobs near you

Business Manager - Enterprise AI

50092 Heidelberg Materials US, Inc.

Houston, TX • On-site

$136K - $181K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Line of Business: Service & Support Pay Range: $136,030.00 – $181,363.32

About Us

Heidelberg Materials is one of the world's largest suppliers of building materials. Heidelberg Materials North America operates over 450 locations across the U.S. and Canada with approximately 9,000 employees.

What You'll Be Doing

  • Lead enterprise adoption of Databricks analytics, AI/BI, Genie, applications, semantic capabilities, and emerging AI technologies, translating platform capabilities into business value.

  • Partner with Finance, Commercial, Operations, Digital, and Data Engineering teams to identify, prioritize, and deliver high-impact analytics and AI use cases.

  • Own the strategy, roadmap, and lifecycle of business-facing data and AI products, from opportunity identification through deployment, adoption, and value realization.

  • Establish and govern enterprise KPI definitions, semantic models, ontology frameworks, and metric standards that ensure consistent, trusted insights across reporting, analytics, and AI solutions.

  • Drive AI-powered decision-making by enabling conversational analytics, natural language querying, AI-generated insights, alerts, and recommendations that reduce manual reporting and accelerate action.

  • Champion data governance, quality, reconciliation, and standardization practices to ensure trusted metrics, explainable AI outputs, and reusable data assets across enterprise platforms.

  • Lead business enablement and change management efforts by developing adoption strategies, training users, fostering self-service analytics capabilities, and serving as the primary bridge between business stakeholders and technical teams.

What Are We Looking For

  • Bachelor's degree in Business, Finance, Analytics, Information Systems, Engineering, Computer Science, or a related field. Advanced degrees, industry certifications, Databricks expertise, experience with generative AI and conversational analytics, and backgrounds in industrial or asset-intensive industries are preferred.

  • 5+ years of experience in analytics, business intelligence, data products, enterprise data platforms, finance analytics, digital transformation, or related disciplines, with a strong track record of delivering business value.

  • 3+ years of experience leading cross-functional initiatives involving business stakeholders, data engineering teams, analytics platforms, enterprise reporting, or data transformation programs.

  • Strong understanding of modern enterprise analytics and data platforms; experience with Databricks is strongly preferred, while experience with Snowflake, Microsoft Fabric, Azure data platforms, or similar ecosystems is also valued.

  • Demonstrated ability to translate business priorities into scalable data products, governed metrics, semantic models, dashboards, applications, and AI-enabled solutions.

  • Experience designing and governing KPIs, metric definitions, business glossaries, semantic layers, and reusable reporting frameworks that support consistent decision-making.

  • Exceptional stakeholder management, executive communication, facilitation, and data storytelling skills, with the ability to influence without direct authority and drive alignment across business and technical teams.

Work Environment

  • Hybrid office environment with opportunities to collaborate across multiple business functions and locations.

  • Fast-paced, innovative setting focused on continuous improvement and operational excellence.

  • Occasional travel may be required to support business initiatives, stakeholder engagement, and project implementation.

What We Offer

  • Competitive base salary

  • 401(k) retirement savings plan with an automatic company contribution as well as matching contributions

  • Highly competitive benefits programs, including:

    • Medical, Dental, and Vision along with Prescription Drug Benefits

    • Health Saving Savings Account (HSA), Health Reimbursement Account (HRA) and Flexible Spending Account (FSA)

    • AD&D, Short- and Long-Term Disability Coverage as well as Basic Life Insurance

    • Paid Bonding Leave, 15 days of Paid Vacation, 40 hours of Paid Sick Leave and 10 Paid Holidays

Equal Opportunity Employer - Minority / Female / Veteran / Disabled

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