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Overnight Generative Ai Certification Jobs (NOW HIRING)

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 ...

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 ...

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 ...

AI/ML Architect

Irvine, CA · On-site

$68.50 - $88/hr

LLM & Generative AI Development * Agent-Based Systems * Retrieval-Augmented Systems (RAG ... Not mandatory (AWS / ML / AI certifications are good to have)

AI Quality Engineer

Merrifield, VA · On-site

$71K - $92K/yr

The successful candidate will serve as an independent reviewer and certification authority ... with Generative AI, Large Language Models (LLMs), RAG architectures, AI agents, or AI-powered ...

AI Engineer

Manhattan, NY

$133K - $166K/yr

AWS Certified Generative AI Developer - Professional * Google Cloud Professional Machine Learning Engineer * Databricks Certified Generative AI Engineer Associate The total compensation for this role ...

AI Engineer

Manhattan, NY · On-site

$133K - $166K/yr

AWS Certified Generative AI Developer - Professional * Google Cloud Professional Machine Learning Engineer * Databricks Certified Generative AI Engineer Associate The total compensation for this role ...

Showing results 21-40

Overnight Generative Ai Certification information

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How much do overnight generative ai certification jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for overnight generative ai certification in the United States is $13.86, according to ZipRecruiter salary data. Most workers in this role earn between $12.26 and $15.14 per hour, depending on experience, location, and employer.

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

An Overnight Generative AI Certification can qualify individuals for roles such as AI content developer, machine learning engineer, data scientist, or AI research assistant. These positions typically involve developing, fine-tuning, or deploying AI models and require skills in programming, data analysis, and familiarity with AI tools and frameworks.

Is the overnight generative AI certification worth it?

The overnight generative AI certification can be valuable for professionals seeking to develop skills in AI model development, natural language processing, and machine learning tools. It provides focused training in a short timeframe, which may help enhance job prospects or advance current roles in AI-related fields.

What is the difference between Overnight Generative Ai Certification vs Data Scientist?

AspectOvernight Generative Ai CertificationData Scientist
CredentialsCertification in Generative AI tools and techniquesDegree in Data Science, Computer Science, or related field
Work EnvironmentTraining programs, workshops, or project-based learningCorporate, research labs, or tech companies
Industry UsageFocuses on AI model development and deploymentData analysis, modeling, and insights generation
Search & Comparison IntentLearning-focused, skill certificationCareer development, job requirements

The Overnight Generative Ai Certification provides targeted training in generative AI tools, ideal for those seeking to quickly acquire specific skills. In contrast, a Data Scientist role typically requires a broader educational background and involves analyzing data, building models, and deriving insights. While the certification enhances AI-specific skills, a Data Scientist's role encompasses a wider range of data-related tasks and responsibilities.

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The top searched job categories for Overnight Generative Ai Certification jobs are:

Infographic showing various Overnight Generative Ai Certification job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 74% Full Time, 17% Part Time, and 7% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $28,828 per year, or $13.9 per hour.

AI Architect Agentic & Generative AI

Select Minds LLC

Dallas, TX • On-site

$180K - $200K/yr

Full-time

Re-posted 23 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 - 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 - including retrieval-augmented generation (RAG), multi-agent orchestration, and governed AI operations - 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 - planning, memory, and human-in-the-loop - 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 - 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 - Solutions Architect (Professional) or Machine Learning Specialty.

Compensation: $180,000.00 - $200,000.00 per year
About Us
We work to deliver profitability in your business - with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work Approach
Our Philosophy
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work Policy
We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The Future
SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.