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Generative Ai Associate Jobs in Phoenix, AZ (NOW HIRING)

Lorven Technologies

AI Solution Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

AI Solution Architect - Agentic & Generative AI Locations: Austin, Tx | Tempe, Az | Charlotte, NC ... Terraform Associate * Experience in regulated industries. * Experience designing AI systems under ...

Aprio

Senior AI Product Associate, IT

Phoenix, AZ · On-site +1

$104K - $160K/yr

Aprio is a progressive, fast-growing firm looking for a Senior AI Product Associate, IT to join ... Apply generative-AI capabilities relevant to professional services - LLMs, document intelligence ...

ASCENSUS

Agentic AI Delivery Leader

Phoenix, AZ · Hybrid

... associate productivity, and operational performance. The Senior Manager establishes the delivery ... generative AI solutions in production; 1+ year delivery agentic AI solutions in production

Epiq

Advanced Technologies Consultant

Phoenix, AZ · On-site

$110K - $135K/yr

... and generative AI. Working closely with the Associate Director and the broader Advanced Technologies Core practice group, the Consultant advises clients on defensible workflows and serves as a ...

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Generative Ai Associate information

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How much do generative ai associate jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for generative ai associate in Phoenix, AZ is $16.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $17.36 per hour, depending on experience, location, and employer.

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 is a generative AI associate?

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.

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.
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Generative Ai Associate jobs near you
Infographic showing various Generative Ai Associate job openings in Phoenix, AZ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $33,957 per year, or $16.3 per hour.

AI Solution Architect

Lorven Technologies

Tempe, AZ • On-site

$60.25 - $79.50/hr

Contractor

Re-posted 23 days ago

Job description

AI Solution Architect - Agentic & Generative AI
Locations: Austin, Tx | Tempe, Az | Charlotte, NC | New York, NY - Onsite
Duration: 12 Months Contract
Role Overview
The AI Solution Architect is a senior technical leader responsible for designing, architecting, and operationalizing Agentic AI and Generative AI solutions at enterprise scale. This role is central to shaping and implementing an AI-first Product Delivery Lifecycle (PDLC), ensuring product development processes, engineering practices, and operating models are optimized for AI-native platforms, agentic systems, and rapid value iteration.
This individual will operate at the intersection of architecture, AI platform engineering, ML lifecycle management, enterprise integration, governance, and organizational transformation.
Key Responsibilities
AI Architecture & Solution Design
  • Architect enterprise-scale Agentic and Generative AI systems, including:
  • Multi-agent orchestration frameworks
  • Retrieval-Augmented Generation (RAG) pipelines
  • Autonomous task execution patterns
  • Tool-use integration frameworks
  • Establish reference architectures for an AI-first PDLC covering:
  • Design
  • Development
  • Testing & evaluation
  • Deployment
  • Monitoring & observability
  • Risk controls & governance
  • Design and implement model lifecycle pipelines including:
  • Training & fine-tuning workflows
  • Evaluation harnesses
  • Model registry & versioning
  • Continuous improvement loops
  • Embed AI capabilities into client-facing platforms, internal tooling, and operational workflows.

AI-First PDLC Transformation
  • Define architecture, tooling, and standards for an AI-native delivery lifecycle, including:
  • Prompt engineering frameworks
  • Agent design patterns
  • Automated LLM evaluation systems
  • Safety guardrails and policy enforcement
  • Data quality validation mechanisms
  • Integrate AI evaluation and governance gates into CI/CD pipelines.
  • Establish best practices to enable cross-functional teams to become AI "builders."
  • Drive adoption of AI-driven development patterns across product, engineering, design, and risk functions.

Enterprise Integration & Data Strategy
  • Design integrations between AI systems and core enterprise platforms.
  • Partner with Data Engineering teams to define:
  • Data ingestion architectures
  • Embedding & vectorization strategies
  • Feature stores
  • Real-time inference pipelines
  • Ensure architectural alignment with:
  • Cloud strategy
  • Enterprise data governance
  • Security & compliance standards

Security, Compliance & Responsible AI
  • Architect AI systems in compliance with regulatory and governance requirements.
  • Embed identity, authorization, auditing, and model-level security patterns.
  • Implement Responsible AI practices, including:
  • Transparency
  • Bias monitoring
  • Fairness evaluation
  • Performance & drift monitoring
  • Auditability

Cross-Functional Leadership
  • Partner with senior leaders across Product, Enterprise Architecture, DevSecOps, Infrastructure, and Operations.
  • Lead architectural reviews and design whiteboarding sessions.
  • Mentor engineering teams and contribute to AI architecture standards.
  • Support hiring and talent development for emerging AI roles.

Required Qualifications
  • 2+ years architecting Generative AI, Agentic AI, or ML systems at enterprise scale.
  • 6+ years experience in cloud-native architecture (AWS preferred), including:
  • Microservices
  • Kubernetes
  • Event-driven systems
  • 5+ years hands-on experience with:
  • LLMs
  • Vector databases
  • Embeddings
  • Evaluation frameworks
  • Guardrails
  • Fine-tuning
  • Orchestration frameworks
  • 8+ years experience in Python.
  • Proficiency in C#, Java, or TypeScript is a plus.
  • 6+ years experience in ML Ops, including:
  • CI/CD for ML
  • Model versioning
  • Monitoring
  • Automated evaluation

Preferred Qualifications
  • Bachelor's degree in Computer Science, Engineering, AI/ML, or equivalent experience.
  • Relevant certifications such as:
  • AWS Solutions Architect - Professional
  • AWS Machine Learning Specialty
  • Terraform Associate
  • Experience in regulated industries.
  • Experience designing AI systems under compliance constraints.

Core Competencies
  • Strategic Architecture & Systems Thinking
  • AI Fluency & Model Lifecycle Expertise
  • Experimentation & Data-Driven Decision-Making
  • Cross-Functional Collaboration
  • Innovation & Continuous Learning
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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