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Assistant Generative Ai Certification Jobs in Texas

Hp

Senior ServiceNow Development Manager

Spring, TX · Remote

$48 - $66/hr

... Now Assist, generative AI, AI agents, and intelligent workflow automation across enterprise ... ServiceNow Certified System Administrator (CSA) required. * ServiceNow Certified Application ...

Globelife

Sr. Data and AI Architect (Hybrid)

Mckinney, TX · Hybrid

$62.50 - $83.50/hr

Provide thought leadership on generative AI, agentic AI, and emerging AI protocol trends (e.g., MCP ... AWS Certified AI Practitioner or equivalent AI certification (a plus). * 10+ years of progressive ...

Globe Life Inc.

Sr. Data and AI Architect (Hybrid)

Mckinney, TX · On-site

$62.50 - $83.50/hr

Provide thought leadership on generative AI, agentic AI, and emerging AI protocol trends (e.g., MCP ... AWS Certified AI Practitioner or equivalent AI certification (a plus). * 10+ years of progressive ...

New

Globe Life

Sr. Data and AI Architect (Hybrid)

Mckinney, TX · On-site

$62.50 - $83.50/hr

Provide thought leadership on generative AI, agentic AI, and emerging AI protocol trends (e.g., MCP ... AWS Certified AI Practitioner or equivalent AI certification (a plus). * 10+ years of progressive ...

Damco Solutions

GEN AI Developer

Dallas, TX · On-site

... integrate generative AI models into various applications, such as chatbots, virtual assistants, and content generation platforms • Conduct experiments and analyze results to optimize model ...

Winaxis

AI Engineer

Dallas, TX · On-site

... ). * Assist in developing Retrieval-Augmented Generation (RAG) pipelines and AI agents. * Write ... Generative AI projects. * Mentorship from experienced AI engineers. * Learning and certification ...

Worky

Gen. AI Engineer

Fort Worth, TX · On-site

$140 - $260/hr

Design and develop enterprise Generative AI applications using LLMs, RAG, Graph RAG, and multi ... Azure, AWS, Google Cloud, or Databricks AI certifications. Technical Environment * Languages:

BravoTech

MS Power Platform Specialist

Dallas, TX · On-site

Develop and enhance AI-powered assistants and business solutions using Microsoft Copilot Studio and ... Exposure to enterprise Generative AI platforms such as Microsoft Copilot, ChatGPT, Claude, or ...

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Assistant Generative Ai Certification information

What is an assistant generative AI certification?

An Assistant Generative AI Certification is a credential that demonstrates foundational knowledge and skills in working with generative artificial intelligence tools and technologies. This certification is designed for individuals seeking to validate their understanding of basic AI concepts, prompt engineering, ethical considerations, and the practical applications of generative AI in various fields. Earning this certification can help entry-level professionals or students showcase their proficiency and readiness to assist in AI-related projects or roles. It typically covers topics such as language models, image generation, and responsible AI use.

What are the key skills and qualifications needed to thrive as an assistant generative AI certification?

To excel as an Assistant in Generative AI Certification, you need a solid understanding of AI concepts, machine learning fundamentals, and experience in educational support or certification processes, often backed by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, online learning platforms, and Learning Management Systems (LMS) is typically required. Strong communication, organizational skills, and attention to detail help you effectively support learners and facilitate smooth certification operations. These skills are crucial for ensuring accurate guidance, efficient program administration, and positive learner outcomes in a technical and evolving field.

What are some common challenges faced by an assistant generative AI certification professional, and how can they be addressed?

As an Assistant Generative AI Certification professional, you may encounter challenges such as staying updated with rapidly evolving AI technologies, interpreting complex certification standards, and effectively communicating technical requirements to learners. Addressing these challenges involves continuous learning, collaborating closely with AI engineers and educators, and utilizing up-to-date resources and training materials. Developing strong project management and communication skills will help you bridge gaps between technical teams and certification participants, ensuring a smooth certification process.

What is the difference between Assistant Generative Ai Certification vs Data Analyst Certification?

AspectAssistant Generative Ai CertificationData Analyst Certification
Required CredentialsRelevant AI and machine learning courses, certifications in generative AI toolsStatistics, data analysis, SQL, Excel certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageUsed to validate skills in AI development and deploymentUsed to analyze data, generate reports, support decision-making

The Assistant Generative Ai Certification focuses on skills related to AI and generative models, often in tech-driven environments. In contrast, Data Analyst Certification emphasizes data analysis skills applicable across various industries. Both certifications validate technical expertise but serve different roles within organizations.

Is assistant generative AI certification worth it?

Assistant generative AI certification can enhance skills in AI tools and models, making candidates more competitive for roles involving AI development and deployment. It demonstrates knowledge of generative models like GPT and relevant programming skills, which are increasingly valued in AI-related jobs.

What jobs can you get with an Assistant Generative Ai Certification?

An Assistant Generative AI Certification can qualify individuals for roles such as AI content creator, machine learning assistant, data analyst, or AI support specialist. These roles often involve working with AI tools, natural language processing, and machine learning frameworks in technology or research environments.

What are popular job titles related to Assistant Generative Ai Certification jobs in Texas?

For Assistant Generative Ai Certification jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Assistant Generative Ai Certification jobs in Texas look for?

The top searched job categories for Assistant Generative Ai Certification jobs in Texas are:

What cities in Texas are hiring for Assistant Generative Ai Certification jobs?

Cities in Texas with the most Assistant Generative Ai Certification job openings:

Assistant Generative Ai Certification jobs near you

Senior ServiceNow Development Manager

HP Development Company, L.P.

Spring, TX • On-site

$48 - $66/hr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 12 days ago

Job description

Senior ServiceNow Development Manager
Description -
Description:
At HP, we believe that the future of work is delivering growth and fulfillment through technology. We are a technology company born of the belief that companies should do more than just make a profit. They should make the world a better place. And our technology - a product and service portfolio of personal systems, printers, and 3D printing solutions - was created to inspire this meaningful progress. We know that thoughtful ideas can come from anyone, anywhere, at any time. And all it takes is one to change the world.
HP Enterprise Platform Services (EPS) is seeking a Senior ServiceNow Development Manager. The ideal candidate is a modern engineering leader with deep ServiceNow platform expertise, strong architectural judgment, and a proven track record building high-performing global teams. This leader will shape the next generation of ServiceNow engineering at HP by modernizing development practices, accelerating platform innovation, and scaling the adoption of ServiceNow AI capabilities including Now Assist, generative AI, AI agents, and intelligent workflow automation across enterprise services.
Responsibilities
  • Partner with the EPS ServiceNow Product Management team to define and execute a multi-year engineering roadmap aligned to business priorities, platform strategy, and measurable outcomes.
  • Lead complex, cross-team engineering initiatives across global delivery teams, ensuring architectural consistency, execution rigor, and high-quality delivery at scale.
  • Drive the modernization of ServiceNow engineering practices through source control, CI/CD pipelines, automated testing, release governance, secure development, and developer productivity standards.
  • Lead the evaluation, deployment, and scaling of ServiceNow AI capabilities, including Now Assist, generative AI, AI agents, predictive intelligence, virtual agent, and intelligent workflow automation.
  • Establish platform architecture standards, reusable design patterns, and governance guardrails to enable scalable, secure, and maintainable ServiceNow solutions.
  • Provide technical and organizational leadership across ServiceNow domains including ITSM, ITOM, HRSD, CSM, SecOps, and enterprise workflow solutions.
  • Own escalation management for critical platform and customer issues, driving rapid cross-functional resolution with transparency, accountability, and operational discipline.
  • Build, mentor, and grow high-performing engineering teams and PODs through inclusive hiring, coaching, performance management, and succession planning.
  • Foster a culture of innovation, accountability, continuous improvement, and engineering excellence, with clear ownership for quality, resiliency, and business value.
  • Partner across enterprise architecture, security, infrastructure, data, and product teams to unlock AI-enabled workflows powered by trusted data, strong governance, and responsible adoption.
  • Track and improve engineering and platform performance using measurable outcomes such as delivery velocity, quality, adoption, productivity gains, and service experience improvements.

Knowledge and Skills Required
  • Deep expertise with the ServiceNow platform, including core workflows such as ITSM, ITOM, HRSD, CSM, SecOps, SPM, ITAM, Flow Designer, App Engine, Creator Workflows, and scoped applications.
  • Strong understanding of current ServiceNow AI platform capabilities, including Now Assist, generative AI, AI agents, predictive intelligence, virtual agent, AI orchestration, and workflow automation.
  • Strong knowledge of JavaScript, APIs, integrations, web technologies, and enterprise platform architecture patterns.
  • Experience with modern ServiceNow engineering practices, including source control, CI/CD, automated testing, release management, code quality, and environment strategy.
  • Strong understanding of platform governance, security, data quality, access controls, and responsible AI adoption in enterprise environments.
  • Experience leading Agile product and engineering delivery models, with the ability to balance speed, quality, risk, and operational stability.
  • Ability to consult, influence, and communicate effectively across all organizational levels, including engineers, product managers, business stakeholders, and executives.
  • Demonstrated ability to lead through change, drive platform modernization, and align teams to new tools, processes, and ways of working.
  • Strong analytical, problem-solving, and decision-making skills with a focus on outcomes, scalability, and continuous improvement.
  • Excellent written, verbal, and presentation skills; mastery in English.

Education and Experience Required
  • Bachelor's degree in computer science, Engineering, or a related field; advanced degree preferred.
  • 15+ years of IT experience, including leading ServiceNow platform engineering, architecture, or development organizations in complex enterprise environments.
  • 5+ years of proven track record of building high-performing global teams
  • Demonstrated experience designing, leading, and scaling large ServiceNow implementations across multiple business units, functions, and geographies.
  • Demonstrated experience modernizing ServiceNow development practices through platform engineering, automation, CI/CD, quality engineering, and governance.
  • Experience deploying AI-enabled ServiceNow capabilities into production, with a focus on measurable business value, user adoption, and operational excellence.
  • ServiceNow Certified System Administrator (CSA) required.
  • ServiceNow Certified Application Developer (CAD) and other relevant ServiceNow certifications strongly preferred.

Pay & Benefits
The pay range for this role is $130,700 to $205,200 USD annually with additional
opportunities for pay in the form of bonus and/or equity (applies to United
States of America candidates only). Pay varies by work location, job-related
knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave
  • US benefits overview https://hpbenefits.ce.alight.com/

The compensation and benefits information is accurate as of the date of this
posting. The Company reserves the right to modify this information at any time,
with or without notice, subject to applicable law.
Disclaimer
This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Job -
Engineering
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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