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Generative Ai Certification Jobs (NOW HIRING)

Virtusa

AI/ML Project Manager

New York, NY · Hybrid

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

Monks

Technical Director, Generative AI

New York, NY · On-site

Technical Director, Generative AI About the Role As a Technical Director, you'll collaborate with ... Certifications in Machine Learning, Deep Learning, or Engineering. * Experience leading cross ...

Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

Cloud certification strongly preferred * Advanced skills using programming languages such as Python ... Exposure in Vertex AI, GCP AI/ML services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud ...

Virtusa

AI/ML Project Manager

New York, NY · Hybrid

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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Generative Ai Certification information

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How much do generative ai certification jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for generative ai certification in the United States is $20.66, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $26.68 per hour, depending on experience, location, and employer.

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

AspectGenerative Ai CertificationData Scientist
Required credentialsCertification programs, online coursesDegree in data science, statistics, or related fields
Work environmentTraining, project-based, AI-focused teamsResearch, analysis, data modeling in various industries
Employer usageTech companies, AI startups, training providersTech firms, finance, healthcare, consulting
Search intentLearning AI generative models, certification programsAnalyzing data, building models, insights

Generative Ai Certification focuses on training individuals in AI generative models through courses and certifications, often for skill validation. Data Scientists typically hold degrees and perform data analysis, modeling, and insights across industries. While both roles involve AI and data, certifications are more about skill validation, whereas data scientists are involved in comprehensive data analysis and modeling tasks.

What is a Generative AI Certification?

A Generative AI Certification is a credential that demonstrates your knowledge and skills in developing, deploying, and understanding generative artificial intelligence models, such as those used for creating text, images, audio, or video. These certifications typically cover foundational AI concepts, deep learning, neural networks, and hands-on experience with tools like GPT, DALL-E, or similar models. Earning a certification can enhance your credibility and job prospects in AI-related fields, proving your ability to work with cutting-edge generative technologies.

What are some common challenges professionals face when applying generative AI techniques in real-world projects?

Professionals working with generative AI often encounter challenges such as ensuring data quality, managing computational resource demands, and aligning model outputs with business objectives. Successfully deploying generative models requires close collaboration with data engineers, domain experts, and stakeholders to address ethical considerations and ensure outputs are both accurate and useful. Additionally, adapting quickly to the fast-evolving landscape of generative AI tools and frameworks is crucial for staying effective and competitive in the field.

What are the key skills and qualifications needed to thrive as a Generative AI Specialist, and why are they important?

To thrive as a Generative AI Specialist, you need a solid background in computer science, machine learning, and deep learning, often supported by a relevant degree and experience with AI frameworks. Proficiency in tools like TensorFlow, PyTorch, and experience with generative models such as GANs or transformers, as well as certifications in AI, are typically required. Strong problem-solving, creativity, and effective communication skills help distinguish top performers in this field. These skills are essential for developing innovative AI solutions, collaborating with cross-functional teams, and addressing complex challenges in generative AI applications.
What cities are hiring for Generative Ai Certification jobs? Cities with the most 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 Generative Ai Certification jobs? States with the most job openings for Generative Ai Certification jobs include:
What job categories do people searching Generative Ai Certification jobs look for? The top searched job categories for Generative Ai Certification jobs are:
Generative Ai Certification jobs near you
Infographic showing various Generative Ai Certification job openings in the United States as of June 2026, with employment types broken down into 71% Full Time, 24% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $42,965 per year, or $20.7 per hour.

AI Architect Agentic & Generative AI

Select Minds LLC

Dallas, TX • On-site

$180K - $200K/yr

Full-time

Posted 20 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.

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