ZipRecruiter

Log In

1

Genai Jobs in Arizona (NOW HIRING)

Arkhya Tech

GenAI Solutions Leader

Phoenix, AZ · On-site

AI Evangelist/AI Expert/ GenAI Solutions Leader Location : Phoenix AZ - Onsite Full-Time Lead platform releases, feature rollouts, and adoption initiatives in partnership with product and engineering ...

ClifyX

Lead Data Governance (GCP & GenAI)

Phoenix, AZ · On-site

... graphs and GenAI-powered semantic search to enhance data accessibility and insights. • Cross-Functional Leadership - Partner with engineering, data, compliance, and business teams to align ...

Judge Group, Inc.

AI/ML Engineer (GenAI)

Chandler, AZ · On-site

GenAI experience * Service development with Java, C#, or Python * Service orchestration and testing * Understanding of HTML * Experience with containers (Docker) * Preferred cloud experience (Google ...

State Farm

Lead GenAI Engineer (LLM)

Tempe, AZ · Hybrid

$98K - $129K/yr

Design & Deploy AI/GenAI Solutions -- Architect and implement LLM-powered applications, agentic workflows, & RAG pipelines using AWS Bedrock and AgentCore * Build AI-Integrated APIs -- Develop and ...

ClifyX

Security Architect

Phoenix, AZ · On-site

$64.50 - $83.50/hr

Responsibilities : • Architecture Review & Advisory Lead security reviews of solution and domain architectures, ADRs, and AI-enabled platforms. • Assess GenAI and agentic solution designs for ...

next page

Showing results 1-20

All JobsGenai JobsGenai Jobs in Arizona

Genai information

What is a GenAI?

A GenAI (Generative AI) job involves working with artificial intelligence models that generate text, images, code, or other content. Roles in this field can include AI research, machine learning engineering, prompt engineering, or AI ethics. Professionals in GenAI work with large language models (LLMs) and deep learning frameworks to refine AI-generated outputs and integrate them into applications. These jobs are found in industries like tech, marketing, healthcare, and finance, where AI-powered automation and content generation are valuable.

What are the key skills and qualifications needed to thrive in the GenAI position?

To excel as a GenAI (Generative AI Specialist), you need a strong background in computer science, machine learning, and artificial intelligence, typically with a relevant degree and experience in training large language models. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, and cloud platforms is highly valued, along with certifications like AWS Certified Machine Learning or Google Professional Data Engineer. Strong analytical thinking, creativity, and collaborative communication are standout soft skills in this field. These competencies ensure effective model development, seamless teamwork, and the ability to deliver innovative AI solutions in business contexts.

What are the typical day-to-day responsibilities of a GenAI specialist?

As a GenAI Specialist, your typical day may involve designing, developing, and optimizing generative AI models for various applications, such as natural language processing or image synthesis. You'll often collaborate closely with data scientists, software engineers, and product teams to align AI solutions with business needs. Tasks may include data preprocessing, model evaluation, fine-tuning algorithms, and addressing ethical or bias considerations in AI outputs. You may also participate in research initiatives, documentation, and client presentations, offering a dynamic and intellectually stimulating work environment.

What skills do you need for GenAI?

To work in GenAI roles, candidates should have strong programming skills in languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and a solid understanding of natural language processing and deep learning concepts. Knowledge of data preprocessing, model training, and evaluation is also essential, along with problem-solving skills and the ability to work with large datasets. Familiarity with cloud platforms and version control tools can further support success in this field.

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

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

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

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

What cities in Arizona are hiring for Genai jobs?

Cities in Arizona with the most Genai job openings:

Genai jobs near you
Infographic showing various Genai job openings in Arizona as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, 2% Temporary, and 3% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution.

GenAI Solutions Leader

Arkhya Tech

Phoenix, AZ • On-site

Other

Re-posted 28 days ago

Job description

AI Evangelist/AI Expert/ GenAI Solutions Leader

Location : Phoenix AZ - Onsite

Full-Time

Lead platform releases, feature rollouts, and adoption initiatives in partnership with product and engineering teams.

o Architect and execute go to market strategies spanning onboarding, training, documentation, and ongoing support.

Customer Enablement & Training o Conduct workshops, office hours, and hands on pair programming while maintaining self service resources (SDKs, guides, playbooks) to drive adoption and reduce time to value. o Create scalable enablement assets and tailor training approaches based on a deep understanding of customer workflows and pain points.

Solution Strategy & Feedback Loop o Establish tight feedback loops with end users to surface insights that shape roadmap direction, influence implementation, and drive usability improvements. o Translate business problems into actionable solution architectures partnering with platform teams on patterns, reusable accelerators, acceptance criteria, and reference architectures to standardize solution delivery.

o Stay current with industry trends in MLOps/LLMOps, GenAI, agentic frameworks, and cloud optimization.

Stakeholder Relationship & Communication o Build

Required Qualifications:

4+ years of Artificial Intelligence experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

3+ years across product/solution management, program delivery, or technical product ownership for AI/ML platforms, or cloud-native solutions.

3+ years hands-on with cloud technologies (Google Cloud Platform, or Azure) and container orchestration (Docker, Kubernetes/OpenShift). Desired Qualifications

5+ years across the AI/ML lifecycle: data management, feature engineering, model development, deployment, monitoring/observability, and model risk/governance.

Experience in large enterprise environments (regulated industries preferred) and building platforms at scale.

Hands-on with GenAI and agentic AI (LLMs, diffusion models, RAG, tool use/agents); familiarity with OpenAI Azure, Hugging Face, LangChain/LangGraph, ADK, vector databases.

Experience with MLOps/LLMOps tooling and practices (model registry, CI/CD, feature store, prompt/chain/versioning, evaluation, guardrails, monitoring).

Strong communication skills with the ability to influence senior stakeholders and simplify complex technical

Regards,

Bhupendra

Apply