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Contract Generative Ai Prompt Engineer Jobs in Arizona

Omega Hires

Java AI Developer / Lead

Phoenix, AZ · On-site

Hands-on experience with Generative AI , LLMs , and AI application development. * Experience with ... Strong knowledge of prompt engineering , AI orchestration, and model evaluation. * Experience with ...

Jobtailor

Digital Product Management Manager

Phoenix, AZ · On-site

$150 - $200/hr

Experience in Generative AI, prompt engineering, GENAI production use cases, and governance activities is preferred * Experience working in low code/no-code environments is preferred * Ability to ...

New

IntraEdge

Gen AI Engineer II

Phoenix, AZ · On-site

$97K - $133K/yr

We are seeking a skilled and innovative Software Engineer to leverage GitHub Copilot and Generative AI capabilities to enhance software development workflows, improve productivity, and drive ...

Northern Trust

SVP AI Enterprise Architect

Tempe, AZ · On-site

$137K - $240K/yr

Mastery of Azure AI Foundry and working knowledge of AWS generative AI tools. * Strong understanding of RAG applications and advanced prompt engineering techniques. * Knowledge of tradeoffs across ...

American Express

AI Engineer III

Phoenix, AZ · On-site

$103K - $174K/yr

Experience in software development with a focus on machine learning, generative AI, Big Data, and prompt engineering * Experience in working with large language models (LLMs), especially GPT-3.5/4 or ...

American Express

AI Engineer III

Phoenix, AZ · On-site

Experience in software development with a focus on machine learning, generative AI, Big Data, and prompt engineering * Experience in working with large language models (LLMs), especially GPT-3.5/4 or ...

McCarthy Holdings, Inc.

Sr. AI Security Engineer

Phoenix, AZ · On-site

$104K - $143K/yr

This role will help protect data, systems, users, and customers as generative AI, machine learning ... Test AI systems and agent workflows for prompt injection, indirect injection, jailbreaks, data ...

Mondo

Data Scientist II

Phoenix, AZ · On-site

$140K - $150K/yr

Data Scientist II, Generative AI Location/Type: Onsite, Phoenix, AZ - Must currently permanently ... Experience with prompt engineering and specific challenges faced applying it * Familiarity with API ...

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Contract Generative Ai Prompt Engineer information

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

AspectContract Generative Ai Prompt EngineerData Scientist
CredentialsTypically requires knowledge of AI, NLP, and prompt engineering; often a background in computer science or related fieldsRequires degrees in statistics, mathematics, or computer science; often with certifications in data analysis or machine learning
Work EnvironmentContract-based, project-specific, often remote or freelanceFull-time, in-house or remote, working with data teams
Industry UsagePrimarily in AI development, chatbot creation, and NLP applicationsAcross industries for data analysis, predictive modeling, and business insights

The Contract Generative Ai Prompt Engineer focuses on designing prompts for AI models, mainly in NLP and AI applications, often on a contract basis. In contrast, Data Scientists analyze data to derive insights, build models, and support decision-making. While both roles require technical skills, their core responsibilities and work environments differ significantly.

What are the most commonly searched types of Generative Ai Prompt Engineer jobs in Arizona?

The most popular types of Generative Ai Prompt Engineer jobs in Arizona are:

What cities in Arizona are hiring for Contract Generative Ai Prompt Engineer jobs?

Cities in Arizona with the most Contract Generative Ai Prompt Engineer job openings:

Contract Generative Ai Prompt Engineer jobs near you

AI Dev (Features + CHQ)_Tempe,AZ

Photon

Anthem, AZ • On-site

Full-time

Re-posted 14 days ago

Job description


Summary
Photon is seeking a skilled AI Developer (Platform + Backend) to support the design, development, and implementation of AI-powered employee support platform.
The enterprise AI platform built to streamline support for frontline and HQ teams through intelligent automation, workflow orchestration, and AI-driven resolution experiences. The platform combines Generative AI, enterprise integrations, backend services, and workflow automation to improve operational efficiency and employee productivity.
The AI Developer will be responsible for building scalable backend services using Python and FastAPI, integrating AI capabilities, developing APIs, and supporting AI orchestration workflows across the platform. The role requires strong hands-on experience in backend engineering, cloud-native development, API integrations, and modern AI application development.
Responsibilities
  • Design, develop, and maintain scalable backend services using Python and FastAPI.

  • Build and integrate AI-powered services, APIs, and workflow orchestration components.

  • Develop RESTful APIs and microservices for frontend, mobile, and enterprise integrations.

  • Integrate Generative AI services, LLMs, vector databases, and semantic search capabilities.

  • Build and implement agent-based workflows including multi-step execution, tool integrations, and AI-driven decision flows.

  • Work with enterprise systems including HR, IT, identity, and operational platforms.

  • Develop secure, scalable, and high-performance backend architectures.

  • Implement asynchronous processing, event-driven communication, and API integrations.

  • Collaborate with frontend, mobile, DevOps, product, and AI engineering teams.

  • Support cloud-native deployments using containers and Kubernetes.

  • Write clean, maintainable, and testable code with proper documentation and testing practices.

  • Participate in code reviews, debugging, monitoring, and production support activities.

  • Contribute to CI/CD pipelines, automated testing, and engineering best practices.

  • Implement logging and monitoring for AI workflows including request tracing, latency tracking, and error analysis.

Qualifications
Need to Have
  • 5+ years of experience in backend or platform engineering.

  • Strong hands-on expertise in Python and FastAPI development.

  • Experience building REST APIs, microservices, and backend integration services.

  • Experience working with Generative AI, LLM APIs, AI orchestration frameworks, or AI-powered applications.

  • Strong understanding of distributed systems and cloud-native application development.

  • Experience with databases such as PostgreSQL, MongoDB, Redis, or vector databases.

  • Knowledge of asynchronous programming and event-driven architectures.

  • Experience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP.

  • Strong understanding of API security, authentication, and authorization mechanisms.

  • Familiarity with Git-based workflows and Agile development practices.

  • Strong debugging, problem-solving, and communication skills.

  • Experience with RAG pipelines, vector databases, and semantic search.

Good to Have
  • Exposure to LangChain, LlamaIndex, OpenAI APIs, or similar AI frameworks.

  • Experience with Kafka, RabbitMQ, or messaging/event-streaming platforms.

  • Familiarity with Flutter/mobile integrations and frontend-backend communication.

  • Experience in QSR, retail, hospitality, or enterprise digital platforms.

  • Exposure to workflow automation and enterprise orchestration systems.

  • Experience with observability, monitoring, and logging tools.

  • Understanding of AI governance, prompt engineering, and AI evaluation frameworks.

Apply