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Genai Engineer Jobs in Arizona (NOW HIRING)

Judge Group, Inc.

AI/ML Engineer (GenAI)

Chandler, AZ · On-site

... Engineer to support their Information Security applications within the organization. This job will have the following responsibilities: * You will utilize your strong AI capabilities and GenAI ...

ClifyX

Lead Data Governance (GCP & GenAI)

Phoenix, AZ · On-site

... GenAI-powered semantic search to enhance data accessibility and insights. • Cross-Functional ... engineering, data, compliance, and business teams to align governance strategy with enterprise ...

Perficientcorp Inc

Gen AI Engineer

Phoenix, AZ · On-site

Provide technical support for the GenAI and Agentic AI tools and services Qualifications * 6+ years of experience in software engineering, machine learning or GenAI, with production-grade system ...

IntraEdge

Full Stack Engineer

Phoenix, AZ · On-site

Development is accelerated using GenAI tools for code generation, optimization, and documentation ... Contribute to improving developer productivity and engineering excellence using AI-driven ...

Select Minds LLC

Test Automation Engineer

Phoenix, AZ · On-site

$76K - $90K/yr

Test Automation Engineer (Python + GenAI + LLMs) Location: Phoenix, AZ (Hybrid | Day 1 Onsite | Minimum 3 Days/Week) Duration: Long Term Contract Experience Required: 5+ Years We are seeking an ...

Deloitte

Lead Forward Deployed Engineer, Palantir

Tempe, AZ · On-site

$98K - $129K/yr

Mentor and develop junior FDEs GenAI Solution Development * Architect and oversee delivery of LLM ... Engineering & Data Foundations * Review and contribute to production-quality code * Guide ...

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Genai Engineer information

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What are the key skills and qualifications needed to thrive as a GenAI engineer, and why are they important?

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

What are popular job titles related to Genai Engineer jobs in Arizona?

For Genai Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Genai Engineer jobs in Arizona look for?

The top searched job categories for Genai Engineer jobs in Arizona are:

What cities in Arizona are hiring for Genai Engineer jobs?

Cities in Arizona with the most Genai Engineer job openings:

Genai Engineer jobs near you
Infographic showing various Genai Engineer job openings in Arizona as of August 2026, with employment types broken down into 63% Full Time, 5% Part Time, and 32% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution.

GenAI Solution Architect / Technical Lead

Siri Infosolutions Inc

Phoenix, AZ • On-site

Other

Posted 4 days ago

Job description

Job Title: GenAI Solution Architect / Technical Lead/ Only W2
Location: Phoenix, AZ – Day 1 Onsite( Ready to Relocate)
Duration: Long term Contract 
Immediate Interviews & offers 

****Only W2 Interested Candidates****

Job Description:

We are looking for a Lead AI/GenAI Engineer who can play an Architect + Tech Lead role with strong hands-on development experience.

Required Skills:

  • 12+ years of software/AI engineering experience.

  • Strong expertise in Generative AI, LLMs, AI/ML, and Python.

  • Hands-on experience with RAG, embeddings, vector databases, and prompt engineering.

  • Experience with LangChain and/or LlamaIndex.

  • Experience integrating OpenAI/Azure OpenAI, Anthropic Claude, or Gemini APIs.

  • Strong experience building AI Agents / Agentic AI workflows.

  • Strong knowledge of REST APIs, microservices, and enterprise integration.

  • Ability to design AI architecture, lead technical teams, make architectural decisions, and remain hands-on with development.

  • Excellent communication and stakeholder-management skills.

Key Focus: GenAI Architecture, Technical Leadership, Hands-on Development, AI Agents, RAG, LLM Integration, and Enterprise AI Solutions.

Best Regards,
Dhamolu Manikanth Yadav
Sr. Technical Recruiter
Desk Phone: +1
Email ID: | LinkedIn:
 

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About Siri Infosolutions

Sourced by ZipRecruiter

Our team of experts first gather each and every requirement of yours. Our research and development team then sit around those requirements and come up with a plan. Our implementation team then executes that plan for optimal results. After that our support team remains in constant touch with you during and after the entire process.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Edison, NJ, US

Year founded

2005

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