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Contract Generative Ai Jobs in California (NOW HIRING)

AI/ML engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Contract * 6 8 years of Handson experience with Generative AI AI ML and Data Science technologies * Extensive Handson experience in implementing end to end projects utilizing Generative AI

AI Artist

Los Angeles, CA

$100K - $160K/yr

... generative AI effectively as part of their creative toolkit, working within innovative workflows to deliver consistently high-quality results. Contract This is an initial fixed-term project hire ...

AI Artist

Los Angeles, CA · On-site

$100K - $160K/yr

... generative AI effectively as part of their creative toolkit, working within innovative workflows to deliver consistently high-quality results. Contract This is an initial fixed-term project hire ...

Contract-to-Hire Overview A national union academic and workforce training center is seeking an ... Teach practical generative AI and creative-production workflows * Lead classroom demonstrations ...

AI Tech Artist

Los Angeles, CA

$136K - $163K/yr

Contract This is an initial fixed-term project hire through the end of September 2026, with an ... Evaluate emerging generative AI models, research techniques and integrate relevant developments ...

AI Tech Artist

Los Angeles, CA · On-site

$136K - $163K/yr

Contract This is an initial fixed-term project hire through the end of September 2026, with an ... Evaluate emerging generative AI models, research techniques and integrate relevant developments ...

Lead Gen AI Engineer

Irvine, CA · On-site

$55 - $60/hr

Support proposal development and contribute to securing research funding or contracts. Skills Mandatory Skills: AI/GenAI Research, AWS AI Services, ML, NLP, Generative AI, Computer Vision

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Contract Generative Ai information

What is a contract generative AI?

A Contract Generative AI professional is an expert who works on a contractual basis to develop, implement, or manage generative artificial intelligence solutions for organizations. This role typically involves creating AI models that can generate content, images, text, or other data using advanced machine learning techniques. Contract Generative AI professionals may work on specific projects such as building chatbots, automating content creation, or developing creative AI tools. Their expertise is often sought for temporary assignments, allowing companies to leverage AI capabilities without hiring full-time staff.

What are the key skills and qualifications needed to thrive as a contract generative AI?

To thrive as a Contract Generative AI Specialist, you need a solid background in machine learning, deep learning, and natural language processing, often backed by a degree in computer science or related fields. Experience with frameworks like TensorFlow or PyTorch, proficiency in programming languages such as Python, and familiarity with cloud platforms and model deployment tools are typically required. Strong problem-solving skills, adaptability, and clear communication help professionals excel in dynamic project environments and collaborate with diverse stakeholders. These competencies ensure the effective design, implementation, and delivery of advanced AI solutions that meet client needs and industry standards.

What are some common challenges faced by professionals in a contract generative AI role, and how can they be addressed?

Professionals working in contract Generative AI roles often encounter challenges such as rapidly adapting to new project requirements, integrating with existing client teams, and staying updated with the latest advancements in AI models and tools. Because contract positions may have tight deadlines and shifting priorities, effective communication and proactive project management are essential. Building a strong portfolio, maintaining up-to-date technical skills, and fostering collaborative relationships with client stakeholders can help address these challenges and lead to successful project outcomes.

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

AspectContract Generative AiData Scientist
Required CredentialsTypically a background in AI, machine learning, or computer science; certifications in AI tools are commonDegree in data science, statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentProject-based, often freelance or temporary contracts, working with AI models and toolsFull-time or consulting roles within organizations, analyzing data to inform decisions
Employer & Industry UsageTech companies, AI startups, research institutions focusing on AI model deploymentVarious industries including finance, healthcare, tech, and marketing, focusing on data analysis

Contract Generative Ai specialists focus on developing and deploying AI models on a contractual basis, often working with specific projects. Data Scientists analyze data to extract insights, typically in a full-time role. While both roles require technical expertise, Contract Generative Ai professionals are more specialized in AI model creation, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Generative Ai jobs in California?

The most popular types of Generative Ai jobs in California are:

What cities in California are hiring for Contract Generative Ai jobs?

Cities in California with the most Contract Generative Ai job openings:

Infographic showing various Contract Generative Ai job openings in California as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 33% In-person, and 67% Hybrid job distribution.

Principal AI Engineer - Agentic AI / Generative AI | Irvine, CA (Hybrid) | Contract to Hire | AS

Irvine, CA • On-site

$180 - $230/hr

Other

Posted 22 days ago


Job description

Principal AI Engineer – Agentic AI / Generative AI | Irvine, CA (Hybrid) | Contract to Hire | AS
  • Irvine, CA

Job Title: Principal AI Engineer – Agentic AI / Generative AI

Location: Irvine, CA (Onsite Preferred / Hybrid)

Employment Type: Contract to Hire

About the Role

We are seeking a Principal AI Engineer to lead the design and development of next-generation Agentic AI solutions for enterprise applications. This role requires a highly experienced AI engineer with deep expertise in Large Language Models (LLMs), AI Agents, Multi-Agent Systems, Retrieval-Augmented Generation (RAG), and cloud-native AI architectures.

You will drive the architecture, development, deployment, and optimization of intelligent AI agents that automate complex business workflows, power enterprise copilots, and integrate seamlessly with enterprise platforms.

Key Responsibilities AI Agent Development
  • Design, develop, and deploy AI Agents and Multi-Agent Systems for enterprise applications.
  • Build intelligent AI copilots capable of reasoning, planning, and executing complex business workflows.
  • Develop agent orchestration frameworks using modern AI technologies.
  • Implement memory, planning, tool usage, and autonomous decision-making capabilities.
Generative AI Engineering
  • Design production-grade Generative AI applications using Large Language Models.
  • Build Retrieval-Augmented Generation (RAG) solutions using enterprise data.
  • Develop prompt engineering strategies and context management pipelines.
  • Fine-tune and optimize LLM-powered applications for enterprise use cases.
AI Architecture
  • Architect scalable AI platforms supporting multiple enterprise applications.
  • Design AI microservices and API-driven architectures.
  • Build AI workflows integrating structured and unstructured enterprise data.
  • Ensure high availability, scalability, security, and observability of AI systems.
Cloud & MLOps
  • Deploy AI applications on AWS using cloud-native services.
  • Build containerized AI applications using Docker and Kubernetes.
  • Develop CI/CD pipelines for AI model deployment.
  • Monitor model performance, drift, latency, and reliability.
Enterprise Integration
  • Integrate AI Agents with enterprise applications including CRM, ERP, ITSM, and internal APIs.
  • Build AI-powered workflow automation solutions.
  • Collaborate with product, engineering, and business teams to deliver enterprise AI capabilities.
Technical Leadership
  • Provide technical leadership across AI initiatives.
  • Mentor engineers on AI architecture and best practices.
  • Conduct design reviews, code reviews, and architecture reviews.
  • Evaluate emerging AI technologies and recommend adoption strategies.
Required Qualifications
  • Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or related field.
  • 12+ years of software engineering experience.
  • 5+ years building AI/ML applications.
  • Strong hands-on experience developing AI Agents and Agentic AI solutions.
  • Experience building production-grade Generative AI applications.
  • Strong Python programming expertise.
  • Experience deploying AI applications in AWS.
  • Excellent architecture and system design skills.
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