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Part Time Prompt Engineering Jobs in Arizona (NOW HIRING)

Generative AI Developer

Phoenix, AZ · On-site

$104K - $152K/yr

Partner with ML/AI leads and engineering teams to integrate LLMs, autonomous agents, and GenAI ... Establish and enforce governance for model usage, prompt and tool management, safety controls, data ...

Pursuing a degree in Computer Science, Software Engineering, or a related field or you've built ... Experience integrating agentic AI models into a product you've gone beyond prompt-and-response to ...

Part Time Prompt Engineering information

What are some common challenges faced in a part-time prompt engineering role, and how can they be managed effectively?

Part-time prompt engineers often need to quickly adapt to changing project requirements and work with limited context compared to full-time counterparts. Balancing multiple tasks within reduced hours can make it challenging to stay updated on the latest AI model developments and best practices. To manage these challenges, effective time management, clear communication with the team, and utilizing collaborative tools are essential. Regularly reviewing project documentation and participating in knowledge-sharing sessions can also help part-time prompt engineers stay aligned with team goals and maintain high-quality outputs.

What is part time prompt engineering?

Part time prompt engineering refers to working on designing, testing, and refining prompts for artificial intelligence systems, such as large language models, on a part-time basis. Prompt engineers help improve how AI models understand and respond to user inputs by crafting effective instructions or questions. This role typically involves collaborating with teams to optimize AI outputs for specific tasks or applications. Part time positions allow for flexible work schedules, making it suitable for students or professionals seeking supplemental income.

What are the key skills and qualifications needed to thrive as a Part Time Prompt Engineer, and why are they important?

To thrive as a Part Time Prompt Engineer, you need a solid understanding of natural language processing (NLP), creativity in language design, and familiarity with AI model behavior, often supported by a background in computer science or linguistics. Proficiency with tools like OpenAI APIs, prompt testing platforms, and version control systems (e.g., Git) is important, and certifications in AI or data science can be advantageous. Strong analytical thinking, attention to detail, and effective communication help in refining prompts and collaborating with cross-functional teams. These combined skills ensure prompts are clear, effective, and aligned with intended outcomes, resulting in optimal AI model performance.

What is the difference between Part Time Prompt Engineering vs Part Time Data Annotation?

AspectPart Time Prompt EngineeringPart Time Data Annotation
Required CredentialsBasic understanding of AI, NLP, and prompt designAttention to detail, basic data labeling skills
Work EnvironmentRemote or office-based, tech-focusedRemote or on-site, data labeling platforms
Employer & Industry UsageAI companies, tech startups, research labsData companies, AI training firms, machine learning teams
Search & Comparison IntentUnderstanding prompt design roles, freelance or part-time workData labeling tasks, annotation jobs, training data creation

Part Time Prompt Engineering involves designing and refining prompts for AI models, requiring some knowledge of NLP and AI concepts. In contrast, Part Time Data Annotation focuses on labeling data to train AI systems, emphasizing attention to detail. Both roles are common in AI development but differ in skills and daily tasks.

What are the most commonly searched types of Prompt Engineering jobs in Arizona? The most popular types of Prompt Engineering jobs in Arizona are:
What are popular job titles related to Part Time Prompt Engineering jobs in Arizona? For Part Time Prompt Engineering jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Part Time Prompt Engineering jobs in Arizona look for? The top searched job categories for Part Time Prompt Engineering jobs in Arizona are:
Infographic showing various Part Time Prompt Engineering job openings in Arizona as of June 2026, with employment types broken down into 100% Part Time. Highlights an 91% In-person, and 9% Remote job distribution.
Generative AI Developer

Generative AI Developer

Stantec

Phoenix, AZ • On-site

$104K - $152K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Stantec rating

8.5

Company rating: 8.5 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

74th of 352 rated engineering


Job description

At Stantec, we have some of the world's leading professionals passionate about enabling our business to be its best. Our business teams include finance, procurement, human resources, information technology, marketing, corporate development, HSSE, real estate, legal, and practice services. We bring diverse backgrounds, skills, and expertise and create a caring culture where everyone can thrive. Through teamwork and collaboration, we're building a stronger, more resilient Stantec every day.
Your Opportunity
We are seeking a GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems within Stantec's Digital Center of Excellence (DCoE). This role will support a growing portfolio of AI initiatives across the organization, focusing on building scalable, secure, and well-governed solutions, including LLM-powered agents, multi-agent systems, retrieval-augmented generation (RAG), and intelligent automation platforms.
You will work closely with data scientists, engineers, enterprise architects, and business stakeholders to define architectural patterns, establish technical standards, and guide the implementation of advanced GenAI capabilities. This position plays a critical role in shaping enterprise AI architecture, ensuring solutions are reliable, compliant, and aligned with Stantec's governance, security, and responsible AI principles.
Your Key Responsibilities
  • Design, build, and deploy end-to-end GenAI solutions and agentic solutions, including model lifecycle management, evaluation, deployment, and monitoring.
  • Partner with ML/AI leads and engineering teams to integrate LLMs, autonomous agents, and GenAI services into existing and new solution pipelines.
  • Review and advise on infrastructure approaches, including containerization, orchestration, and infrastructure-as-code to ensure scalability, security, and operational readiness.
  • Collaborate with product owners, engineering, security, and data teams to design solutions that meet functional and non-functional requirements (performance, reliability, compliance, and cost).
  • Establish and enforce governance for model usage, prompt and tool management, safety controls, data handling, and lifecycle management.
  • Design integrations with enterprise data platforms, knowledge sources, and APIs, ensuring appropriate access controls and auditability.
  • Document architectural patterns, methodologies, and lessons learned.
  • Evaluate emerging GenAI technologies and recommend adoption strategies based on business value and risk.
  • Stay current with emerging research, tools, and frameworks in Generative AI, Agentic AI, and multi-agent systems.
  • Design, build, and deploy agentic solutions using Microsoft Copilot Studio, including configuration of topics, actions, integrations, and orchestration logic.

Qualifications
  • Strong background in designing and delivering modern cloud solutions, APIs, and data/AI platforms.
  • Demonstrated knowledge and hands-on experience in building custom AI agents, including development using platforms such as Azure AI Foundry and Microsoft Copilot Studio.
  • Familiarity with security, privacy, and governance practices for enterprise AI solutions.
  • Ability to communicate complex concepts clearly to technical and non-technical audiences, influencing stakeholders through architecture guidance.
  • Experience partnering across disciplines in agile delivery environments.
  • Understanding application deployment, hosting, and scaling within Azure.

Education and Experience
  • Master's degree or higher degree in Computer Science, Engineering, or related field (or equivalent experience).
  • 5+ years of professional experience in AI/ML solution delivery, with recent hands-on GenAI solution experience.
  • Experience deploying AI/GenAI solutions in Azure environments, including familiarity with Azure AI Foundry, would be highly valued.
  • Experience developing AI agents in Microsoft Copilot Studio is highly preferred.

Pay Range:
• Locations in CO, HI, IL, MD & Various CA, NJ Areas-$104,800.00 - $152,000.00 Annually
Pay Transparency: In compliance with pay transparency laws, pay ranges are provided for positions in locations where required. Please note, the final agreed upon compensation is based on individual education, qualifications, experience, and work location. At Stantec certain roles are bonus eligible. Actual compensation for part-time roles will be pro-rated based on the agreed number of working hours per week.
Benefits Summary: Regular full-time and part-time employees (working at least 20 hours per week) have access to medical, dental, and vision plans, a wellness program, health saving accounts, flexible spending accounts, 401(k) plan, employee stock purchase program, life and accidental death & dismemberment (AD&D) insurance, short-term/long-term disability plans, emergency travel benefits, tuition reimbursement, professional membership fee coverage and paid family leave. Regular full-time and part-time employees will receive ten paid holidays in each calendar year. In addition, employees will be eligible to accrue vacation between 10 and 20 days per year and eligible for paid sick leave (and if more generous, in accordance with state and local law).
Temporary/casual employees have access to 401(k) plans, employee stock purchase program, and paid leave, in accordance with state and local law.
The benefits information listed above may not apply to union positions because benefits for such positions are governed by applicable collective bargaining agreements
Primary Location: United States | TX | Austin
Organization: BC-2259 Innovation-US Digital COE
Employee Status: Regular
Business Justification: Replacement
Travel: No
Schedule: Full time
Job Posting: 15/04/2026 06:04:33
Req ID: 1004649
#additional
Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment. At Stantec we are committed to ensuring our recruitment process is accessible to all. If you require reasonable adjustments to be made during the recruitment process then please inform a member of our Talent Acquisition team.

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