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Generative Ai Consultant Jobs (NOW HIRING)

Hearst

Director, Generative AI Enablement

New York, NY · On-site

As the Director, Generative AI Enablement, you will work in a fast-paced environment and be ... Evaluate and onboard third-party AI solutions or consulting partners where appropriate, managing ...

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How much do generative ai consultant jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for generative ai consultant in the United States is $41.55, according to ZipRecruiter salary data. Most workers in this role earn between $29.33 and $49.52 per hour, depending on experience, location, and employer.

How much do AI consultants get paid?

AI consultants, including those specializing in generative AI, typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior or specialized consultants with advanced skills in machine learning and AI tools can earn higher salaries, often exceeding $200,000. Compensation may also include project-based fees or consulting rates for freelance work.

What is a Generative AI Consultant job?

A Generative AI Consultant helps businesses implement and optimize AI-driven solutions using generative models like GPT, DALL·E, or other advanced AI technologies. They assess client needs, recommend AI strategies, and support the integration of AI tools into workflows. Their role often includes model fine-tuning, prompt engineering, and ensuring ethical AI use. Additionally, they provide training and best practices to maximize AI's effectiveness while mitigating risks.

What are the typical daily responsibilities of a Generative AI Consultant?

A Generative AI Consultant’s daily responsibilities often include meeting with clients to assess their needs, designing and prototyping AI models, and collaborating with cross-functional teams to deploy solutions. You may spend time analyzing data, fine-tuning models, and presenting technical findings in an accessible way to both technical and non-technical stakeholders. Staying current with emerging advancements in generative AI and regularly evaluating the performance of deployed models are also key parts of the role. This position typically offers a dynamic mix of hands-on technical tasks and strategic client interactions, enabling you to see projects from concept to implementation.

What are the key skills and qualifications needed to thrive in the Generative Ai Consultant position, and why are they important?

To thrive as a Generative AI Consultant, you need strong expertise in machine learning, deep learning, and natural language processing, often supported by an advanced degree in computer science or a related field. Familiarity with frameworks and tools such as TensorFlow, PyTorch, Hugging Face libraries, and cloud platforms is typically required, along with relevant certifications like Google Cloud AI or AWS Machine Learning. Excellent problem-solving, communication, and client management skills help build rapport and translate technical concepts into actionable business solutions. These abilities are crucial for designing impactful AI solutions, effectively collaborating with stakeholders, and ensuring successful project outcomes.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or specialized consultants in artificial intelligence, often requiring advanced skills, extensive experience, and sometimes certifications. These positions usually involve leadership, strategic planning, or cutting-edge research in AI development. Compensation at this level reflects the complexity and impact of the work, often including bonuses and stock options.

What is a generative AI consultant?

A generative AI consultant is a professional who specializes in developing and implementing artificial intelligence models that create content such as text, images, or audio. They typically have expertise in machine learning, deep learning, and AI tools like GPT or GANs, and work with organizations to integrate these technologies into products or workflows.

How much does a generative AI specialist make?

Generative AI specialists typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in machine learning and deep learning can command higher salaries, especially in tech hubs or companies investing heavily in AI development.
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Generative Ai Consultant jobs near you
Infographic showing various Generative Ai Consultant 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, with an average salary of $86,430 per year, or $41.6 per hour.

Senior AI Solutions Consultant - Generative & Agentic AI

Mogi I/O : OTT/Podcast/Short Video Apps for you

Santa Cruz, CA

Full-time

Re-posted 2 days ago

Job description

Senior AI Solutions Consultant – Generative & Agentic AI

Work Type: Direct Hire / Full-Time
Experience Required: 10 – 21 Years
Compensation: USD 150,000 – 199,000 Per Annum + Bonus up to 20%
Eligibility: Green Card Holders, US Citizens, H1B Transfer
Travel Requirement: As Required (Client Workshops & Solutioning)

Job Overview

We are seeking a highly experienced AI Consultant with strong expertise in machine learning, deep learning, generative AI, and agentic AI, backed by robust domain knowledge in Manufacturing & Service Lifecycle Management (SLM). The ideal candidate is a full‑stack AI engineer capable of architecting, developing, and scaling AI solutions across automotive, commercial vehicles, heavy equipment, and industrial manufacturing environments. This role blends hands‑on technical work with consultative leadership, including pre‑sales support, client advisory, PoCs, and end‑to‑end AI solution delivery.

Key Responsibilities
  • Identify AI use cases, lead workshops, and design scalable solutions.
  • Build PoCs and prototypes to validate business value.
  • Develop AI pipelines for vision, NLP, and time‑series.
  • Build GenAI apps, agent workflows, and RAG‑based knowledge systems.
  • Own end‑to‑end delivery from data to deployment.
  • Deploy AI solutions on AWS/Azure/GCP.
  • Implement MLOps pipelines, CI/CD, and monitoring.
  • Deploy models via Docker/Kubernetes and APIs.
  • Apply AI to design, production, quality, and service operations.
  • Build predictive maintenance, defect detection, and process optimization solutions.
  • Lead client presentations and innovation demos.
  • Mentor teams and contribute to reusable AI frameworks.
Must-Have Qualifications
  • 12–15 years of experience in AI/ML, including 2+ years in Generative AI / LLMs / Agentic AI.
  • Strong expertise in ML, DL, NLP, vision systems, and time‑series modeling.
  • Proficiency in Python and ML frameworks: TensorFlow, PyTorch, Scikit‑learn, Hugging Face, LangChain.
  • Proven cloud delivery experience on AWS / Azure / GCP.
  • Hands‑on experience with Docker, Kubernetes, API deployment.
  • Proficiency in MLOps/LLMOps tools: MLflow, Azure ML, Vertex Pipelines, Kubeflow.
  • Strong knowledge of manufacturing operations, IoT, field service, and SLM data models.
  • Excellent communication & client‑facing skills.
Nice-to-Have Qualifications
  • Experience with Digital Twins, Predictive Maintenance, Industrial IoT.
  • Knowledge of vector DBs: Pinecone, Weaviate, FAISS, Azure AI Search.
  • Familiarity with PLM/ERP/SLM systems: PTC Windchill, Teamcenter, SAP S/4HANA.
  • Automotive, commercial vehicle, or heavy machinery industry background.
  • Cloud AI certifications (AWS ML Specialty, Azure AI Engineer, GCP ML Engineer).
Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Consulting, Information Technology, and Sales

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