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Generative Ai Consultant Jobs (NOW HIRING)

We are growing our Generative AI consulting practice and looking for motivated recent graduates to join as GenAI Consultants. You'll work at the intersection of cutting-edge AI and real business ...

We are growing our Generative AI consulting practice and looking for motivated recent graduates to join as GenAI Consultants. You'll work at the intersection of cutting-edge AI and real business ...

We are growing our Generative AI consulting practice and looking for motivated recent graduates to join as GenAI Consultants. You'll work at the intersection of cutting-edge AI and real business ...

Title: AI consultant/Architect Location: Columbia, SC Position type: W2 contract * Provide ... Work with generative AI platforms including ChatGPT, Microsoft Copilot, and similar technologies.

Our expertise, industry knowledge, and consultative approach enable clients to achieve successful business outcomes while helping professionals advance their careers. Job Title: Generative AI ...

Serve as a senior subject matter expert on conversational and generative AI technologies, providing ... Provide consulting leadership and subject matter expertise across customer engagements and internal ...

Sr. AI Engineer

Franklin, TN · On-site

$120 - $130/hr

Hands-on experience designing and implementing Generative AI solutions in an enterprise environment. * Experience consulting with business stakeholders on AI strategy and implementation. * Strong ...

Generative AI / LLMs * OpenAI / Azure OpenAI * Google AI Stack (Gemini, Vertex AI) * AI Agents ... Strong client-facing and consulting skills with the ability to translate business requirements into ...

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Generative Ai Consultant information

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How much do generative ai consultant jobs pay per hour?

As of Aug 4, 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.

What is a generative AI consultant?

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 as a generative AI consultant?

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.

More about Generative Ai Consultant jobs
What cities are hiring for Generative Ai Consultant jobs? Cities with the most Generative Ai Consultant job openings:
What states have the most Generative Ai Consultant jobs? States with the most job openings for Generative Ai Consultant jobs include:
Infographic showing various Generative Ai Consultant job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $86,430 per year, or $41.6 per hour.

Senior AI Solutions Consultant - Generative & Agentic AI (Santa Cruz)

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

Santa Cruz, CA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


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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