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Assistant Generative Ai Certification Jobs (NOW HIRING)

AI Architect Agentic Generative AI

Dallas, TX ยท On-site

$62.50 - $82.50/hr

Oppurtunity for Advancement Long Term Competitive salary AI Architect Agentic & Generative AI Work ... AWS Certifications - Solutions Architect (Professional) or Machine Learning Specialty.

... * Assist in designing, developing, and testing autonomous AI agents and generative AI systems ... skills, certifications, and other business needs. Nonexempt employees are eligible to receive ...

$32 - $40/hr

... * Assist in designing, developing, and testing autonomous AI agents and generative AI systems ... skills, certifications, and other business needs. Nonexempt employees are eligible to receive ...

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

Roles and responsibilities for this position include: * Assist in the development and optimization of generative AI solutions using GPT-4, Claude, Gemini, and Azure OpenAI Service under the guidance ...

SNOW UI Developer

$51.25 - $66.50/hr

Design, develop, and optimize modern ServiceNow user experiences using UI Builder, Next Experience Framework, and AI-powered capabilities such as Now Assist, Generative AI, Virtual Agent, AI Agents ...

AWS Cloud AI Architect

Atlanta, GA ยท On-site

$62.50 - $79.50/hr

Hands-on experience with AI/ML, Generative AI, LLMs, NLP, and chatbot solutions * Experience with ... AWS Certified Solutions Architect (Required) * Additional AWS, Azure, or Google Cloud Platform ...

AI Architect Agentic & Generative AI

Dallas, TX ยท On-site

$180K - $200K/yr

Oppurtunity for Advancement * Long Term * Competitive salary AI Architect Agentic & Generative AI ... AWS Certifications - Solutions Architect (Professional) or Machine Learning Specialty. Compensation ...

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... skills, certifications, and other business needs. Nonexempt employees are eligible to receive ...

Experience delivering generative AI, LLM-based solutions, or RAG pipelines. Industry certifications (PMP, Scrum Master, Cloud Architect, AI certifications). Prior consulting experience with ...

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Assistant Generative Ai Certification information

Is generative AI certification worth it?

Generative AI certification for roles like Assistant Generative AI Certification can validate skills in AI model development, natural language processing, and machine learning tools. It can enhance job prospects and demonstrate expertise in a competitive field, especially as AI skills become increasingly valued across industries.

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.

What are the key skills and qualifications needed to thrive as an Assistant in Generative AI Certification, and why are they important?

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 jobs can you get with a generative AI certification?

A generative AI certification can qualify you for roles such as AI developer, machine learning engineer, data scientist, or AI researcher, where skills in neural networks, natural language processing, and AI tools are essential. These positions often involve developing, training, and deploying AI models in various industries like tech, healthcare, and finance.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, chief AI officers, or senior data scientists, often requiring advanced skills in machine learning, deep learning, and extensive experience. These positions usually involve leadership, strategic planning, and the development of innovative AI solutions, and they tend to be found in large tech companies or specialized AI firms.

Can I get a job with AI certification?

An Assistant Generative AI Certification can improve your qualifications for roles involving AI development, machine learning, and data analysis. While certification demonstrates relevant skills, employers also value practical experience, programming knowledge, and understanding of AI tools like TensorFlow or PyTorch. Having a certification can enhance your job prospects but does not guarantee employment on its own.

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.
More about Assistant Generative Ai Certification jobs
What cities are hiring for Assistant Generative Ai Certification jobs? Cities with the most Assistant Generative Ai Certification job openings:
What are the most commonly searched types of Generative Ai Certification jobs? The most popular types of Generative Ai Certification jobs are:
What states have the most Assistant Generative Ai Certification jobs? States with the most job openings for Assistant Generative Ai Certification jobs include:
What job categories do people searching Assistant Generative Ai Certification jobs look for? The top searched job categories for Assistant Generative Ai Certification jobs are:
Infographic showing various Assistant Generative Ai Certification job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
AI Architect Agentic Generative AI

AI Architect Agentic Generative AI

SelectMinds

Dallas, TX โ€ข On-site

$62.50 - $82.50/hr

Other

Posted 28 days ago


Job description

Benefits:

Oppurtunity for Advancement

Long Term

Competitive salary

AI Architect Agentic & Generative AI Work Type: Full-Time, Onsite Location: Dallas, Texas Interview Mode: In-Person Work Auth : Must be authorized to work in the U.S. Domain: Enterprise AI / Agentic AI / AWS Bedrock Compensation: Competitive, commensurate with experience

As AI Architect โ€“ Agentic & Generative AI, you will be responsible for defining, building, and scaling enterprise-grade agentic AI architecture on AWS. This role focuses on establishing frameworks, patterns, and guardrails that enable safe, reliable, and cost-efficient AI solutions, leveraging Amazon Bedrock (Agents, Knowledge Bases, Guardrails, Flows) and Claude models. You will collaborate with cross-functional teams in product, engineering, data, and security to deliver next-generation AI capabilities โ€” including retrieval-augmented generation (RAG), multi-agent orchestration, and governed AI operations โ€” driving measurable business impact through intelligent automation and decision-making systems.

Responsibilities

Define and evolve the enterprise agentic AI architecture, establishing reusable frameworks and standards for RAG, tool/function calling, and multi-agent orchestration.

Design and implement AI solutions using Amazon Bedrock and integrate with core AWS services (Lambda, Step Functions, EventBridge, ECS/EKS, S3, Aurora, OpenSearch, DynamoDB).

Drive adoption of agentic AI patterns โ€” planning, memory, and human-in-the-loop โ€” ensuring alignment with enterprise security and compliance frameworks.

Guide model selection and optimization (Claude family and Bedrock models), including prompt schema design, adapters, and fine-tuning strategies.

Implement advanced RAG pipelines with optimized chunking, reranking, grounding, and hybrid/vector retrieval using OpenSearch and pgvector.

Apply Guardrails and data-governance controls (IAM/ABAC, KMS, private networking) to ensure privacy, PII protection, and compliant operations.

Establish observability and reliability frameworks โ€” including evaluation pipelines, tracing, cost metrics, fallbacks, and A/B testing.

Collaborate with platform and DevOps teams to enable governed AWS landing zones, CI/CD automation, and environment management for AI workloads.

Publish architecture blueprints, starter kits, and best-practice guides for AI engineers and developers.

Mentor engineering teams and contribute to hiring, training, and AI community enablement initiatives.

Research and assess emerging AWS and open-source agentic tools, proposing pragmatic adoption strategies.

Required Skills & Experience

8+ years designing and implementing large-scale distributed or cloud systems (including 4+ years on AWS).

2+ years building AI/ML or generative AI solutions in production environments.

Hands-on experience with Amazon Bedrock (Agents, Knowledge Bases, Guardrails) and Claude models.

Deep understanding of RAG design, hybrid/vector search (OpenSearch, pgvector), grounding, and citation techniques.

Proficiency in Python (preferred) or similar modern programming languages.

Solid grasp of AWS orchestration services (Lambda, Step Functions, EventBridge) and CI/CD practices.

Applied knowledge of AI governance, security, and observability (IAM, KMS, Guardrails, evaluation, tracing).

Excellent communication and architectural documentation skills.

Preferred Qualifications

Expertise in Agentic AI systems, including multi-agent workflows, tool/function calling, and memory architectures.

Experience with LangChain, LangGraph, or similar orchestration frameworks.

Advanced prompt design, RAG optimization, and model customization experience.

AWS Certifications โ€“ Solutions Architect (Professional) or Machine Learning Specialty.