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Manager Prompt Engineering Jobs in Arizona (NOW HIRING)

Perficientcorp Inc

Gen AI Engineer

Phoenix, AZ · On-site

Experience implementing RAG architectures, vector databases, and LLM lifecycle management (prompt engineering, context engineering, fine-tuning, evaluation, monitoring) * Strong programming skills in ...

Provn

Senior Agentic Software Engineer

Scottsdale, AZ · Remote

$122K - $161K/yr

Advanced prompt engineering skills, including the ability to establish prompt patterns and ... And hiring managers are contacting top performers for interview loops. Through challenge-based ...

TSMC

Senior AI Model Fine-Tuning Engineer

Phoenix, AZ

$128K - $176K/yr

Design and implement prompt engineering strategies to help the model produce more accurate ... you manage your health and achieve your goals across many areas of your life. This includes a ...

Lorven Technologies

Sr Software Engineer

Phoenix, AZ · On-site

$119K - $157K/yr

... LLMs, prompt engineering, and RAG concepts . * AI-assisted software development, testing, documentation, and code review * Will Collaborates with leaders, business analysts, project managers, IT ...

New

Globe Telecom, Inc.

Fullstack AI Engineer

Globe, AZ

Prompt Engineering vs. UI: Aligning the "hidden" logic of an AI prompt with the visible inputs provided by a user. * State Management: Handling the complex states of an AI conversation (memory ...

HUMAC INC.

Site Reliability Engineer

Phoenix, AZ · On-site

$56.50 - $75.25/hr

Deploy, manage, and troubleshoot services. 3. Observability: ELK/EFK, Grafana, Prometheus ... and Prompt Engineering Skills. 7. SRE Core: SLA, SLI/SLO, alert configuration and tuning ...

New

TSMC

Senior AI Model Fine-Tuning Engineer

Phoenix, AZ · On-site

$128K - $176K/yr

Design and implement prompt engineering strategies to help the model produce more accurate ... you manage your health and achieve your goals across many areas of your life. This includes a ...

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Manager Prompt Engineering information

What is a Manager of Prompt Engineering?

A Manager of Prompt Engineering is a professional who leads teams focused on designing, developing, and optimizing prompts for artificial intelligence models, particularly large language models (LLMs) like ChatGPT. They oversee the creation of effective prompts to ensure AI systems provide accurate, relevant, and safe responses. This role involves collaborating with data scientists, engineers, and product managers, as well as setting best practices for prompt creation and evaluation. Additionally, they may be responsible for training team members and implementing strategies to improve prompt performance over time.

What are the key skills and qualifications needed to thrive as a Manager of Prompt Engineering, and why are they important?

To thrive as a Manager of Prompt Engineering, you need expertise in natural language processing, AI model deployment, and prompt design, typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), prompt engineering platforms, and version control systems is expected, along with experience managing technical teams. Strong leadership, problem-solving, and communication skills distinguish top performers in this role. These abilities are crucial for ensuring effective AI solutions, driving team productivity, and aligning prompt engineering initiatives with organizational goals.

How does a Manager of Prompt Engineering typically collaborate with cross-functional teams to optimize AI outputs?

As a Manager of Prompt Engineering, you will frequently collaborate with data scientists, software engineers, product managers, and UX designers to refine and optimize prompt strategies for AI models. This involves translating business requirements into effective prompt templates, conducting prompt experiments, and communicating findings to stakeholders. Regular cross-functional meetings and feedback sessions are common, ensuring that the AI outputs align with both technical capabilities and user needs. Building strong relationships across teams is essential for successfully iterating on prompt designs and deploying scalable solutions.
What are the most commonly searched types of Prompt Engineering jobs in Arizona? The most popular types of Prompt Engineering jobs in Arizona are:
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Manager Prompt Engineering jobs near you

Gen AI Engineer

Perficientcorp Inc

Phoenix, AZ • On-site

Contractor

Posted 6 days ago

Job description

Job Title – Gen AI Engineer
Location – Phoenix, AZ
Duration: 12+ Months  
Interview Mode – In-Person Interview
 
Tech Stack – AI / Agentic AI, LLM, RAG, FastAPI, GCP, Flask, Python, SQL, Docker & Kubernetes, Fast API
 
Responsibilities
* Design, build and rollout scalable AI and Agentic systems that would result in operational efficiencies, superior customer experiences, and increased adherence to compliance practices
* Develop intelligent, autonomous workflows that can reason over context, leverage enterprise data, invoke tools, and support decision-making for use cases identified
* Design, build and rollout production-grade AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, ensuring high standards of accuracy, reliability, and auditability
* Understand data, data products and build and operationalize large-scale data pipelines
* Drive AI-enabled monitoring, quality assessment, and governance capabilities through automation and advanced analytics to improve operational efficiency and consistency
* Own end-to-end technical delivery, from problem formulation and prototyping to production deployment, monitoring, and continuous optimization
* Collaborate closely with product, engineering, and business stakeholders to translate complex business problems into impactful AI solutions
* Ensure all AI systems adhere to enterprise standards for security, compliance, Explainability, and responsible AI practices
* 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 development experience
* Expertise in building GenAI, Agentic AI systems, including orchestration, tool usage, memory/state management, and evaluation frameworks
* Experience implementing RAG architectures, vector databases, and LLM lifecycle management (prompt engineering, context engineering, fine-tuning, evaluation, monitoring)
* Strong programming skills in Python and experience building Fast APIs, backend services and components, CI/CD and data pipelines
* Experience working with modern AI frameworks like LangChain, LangGraph
* Solid understanding of DB concepts, SQL, BigQuery and experience working in Relational and NoSQL DBs
* Solid understanding of distributed systems, event-driven architectures, and large-scale data processing
* Ability to understand and review code in various languages (Java, Go, Scala)
* Strong analytical, logical reasoning, problem-solving skills with the ability to translate business needs into technical solutions
* Ability to operate in a fast-paced, collaborative environment with a strong sense of ownership and accountability