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Generative Ai Associate Jobs (NOW HIRING)

Carmax

Director, AI/ML Engineering

Richmond, VA

Lead the adoption of generative AI technologies (including large language models and multimodal AI) to create differentiated customer experiences, associate tools, and internal productivity solutions

CarMax, Inc.

Director, AI/ML Engineering

Richmond, VA · On-site

Lead the adoption of generative AI technologies (including large language models and multimodal AI) to create differentiated customer experiences, associate tools, and internal productivity solutions

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How much do generative ai associate jobs pay per hour?

As of May 30, 2026, the average hourly pay for generative ai associate in the United States is $17.42, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $18.51 per hour, depending on experience, location, and employer.

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

To thrive as a Generative AI Associate, strong foundations in machine learning, data analysis, and programming (often Python) are essential, typically supported by a degree in computer science or a related field. Familiarity with popular AI frameworks such as TensorFlow, PyTorch, and experience using cloud platforms like AWS or Azure are commonly required, along with knowledge of prompt engineering and large language models. Creative problem-solving, effective communication, and a collaborative mindset are standout soft skills in this role. These skills and qualities enable associates to design innovative AI solutions, communicate complex ideas, and work efficiently in fast-evolving, interdisciplinary environments.

How does a Generative AI Associate typically collaborate with data scientists and engineers on projects?

As a Generative AI Associate, you will often work closely with data scientists to understand data requirements and model objectives, and with engineers to help deploy and integrate AI solutions into existing systems. Collaboration usually involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical issues together. You may also assist with data preprocessing, building prototypes, and documenting workflows to ensure smooth handoffs between teams. This cross-functional teamwork is essential for delivering robust and scalable generative AI applications.

What are Generative AI Associates?

Generative AI Associates are professionals who support the development, implementation, and management of AI systems that create new content such as text, images, audio, or code. They often work with machine learning models, particularly those based on generative techniques like large language models or diffusion models. Their responsibilities may include data preparation, model training, prompt engineering, and evaluating AI outputs. Generative AI Associates typically collaborate with data scientists, engineers, and product teams to ensure AI solutions meet business and ethical standards.
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Generative Ai Associate jobs near you
Infographic showing various Generative Ai Associate job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, 33% Part Time, and 17% Nights. Highlights an 37% Physical, 26% Hybrid, and 37% Remote job distribution, with an average salary of $36,238 per year, or $17.4 per hour.

Salesforce AgentForce Developer (Generative & Agentic AI Specialist)

IPEM SOLUTIONS INC

Sacramento, CA • Remote

$50/hr

Full-time

Posted 18 days ago

Job description

Job Summary:
We are seeking a highly skilled Salesforce AgentForce Developer with strong expertise in Generative AI and Agentic AI architectures. The ideal candidate will design, develop, and deploy intelligent autonomous agents using Salesforce AgentForce while leveraging Salesforce AI capabilities such as Einstein, Prompt Builder, Data Cloud, and the Trust Layer.
This role requires deep knowledge of all key components of Salesforce AgentForce and a solid understanding of modern AI systems, including LLMs, prompt engineering, AI governance, and enterprise-grade AI architecture.
Key Responsibilities:
Salesforce AgentForce Development:
  • Design and build AI-powered agents using Salesforce AgentForce
  • Configure and manage:
    Agent Builder
    • Topics
    • Actions (Flow, Apex, API-based)
    • Prompt Templates
    • Channels & deployment configurations
  • Implement end-to-end agent workflows integrating Salesforce Clouds (Sales, Service, Experience, Marketing)
  • Develop custom Apex logic and Lightning Web Components (LWC) to extend agent capabilities
  • Integrate external systems via REST/SOAP APIs
Generative & Agentic AI Implementation:
  • Design and implement generative AI solutions using Prompt Builder and LLM integrations
  • Apply prompt engineering best practices for performance, tone, safety, and accuracy
  • Architect agentic workflows involving reasoning, multi-step task execution, and decision-making
  • Implement Retrieval-Augmented Generation (RAG) patterns where applicable
  • Ensure AI governance, security, and compliance using Salesforce Einstein Trust Layer
  • Optimize AI model performance and response evaluation
Architecture & Governance
  • Define scalable AI architecture within Salesforce ecosystem
  • Implement data governance and security policies for AI-driven workflows
  • Collaborate with Solution Architects, Data Architects, and Business Stakeholders
  • Follow DevOps best practices using Salesforce DX, CI/CD pipelines
  • Conduct code reviews, testing, and performance tuning
Required Qualifications:
  • Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related field
  • 5+ years of Salesforce development experience
  • Hands-on experience with Salesforce AgentForce implementation
  • Strong knowledge of: Agent Builder; Topics & Actions; Prompt Builder; Einstein AI; Salesforce Flows; Apex & LWC; Salesforce APIs; Data Cloud; Einstein Trust Layer
  • Solid understanding of: Generative AI concepts; Large Language Models (LLMs); Agentic AI frameworks; Prompt engineering; RAG architecture; AI safety & governance; Model evaluation techniques
  • Required Certifications (Mandatory) - Salesforce Platform Developer I & II; Salesforce AI Specialist; Salesforce AgentForce Specialist; Salesforce Data Cloud Consultant; Salesforce Application or System Architect; AI/ML certification from recognized institutions (e.g., AWS AI Specialty, Azure AI Engineer Associate, Google Professional ML Engineer)
  • Must have knowledge of Apex & Lightning Web Components (LWC); Flows & Automation; REST API Integrations; Prompt Engineering; Generative AI Architecture; Agentic Workflow Design
  • CI/CD & DevOps (Git, Copado, Gearset, Azure DevOps); JSON, JavaScript, Python
  • Excellent communication and stakeholder management skills