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Generative Ai Prompt Writing Jobs in Springfield, MA

Sr Applied AI Data Scientist

Hartford, CT · On-site

$110K - $166K/yr

Develop AI solutions: Create ML and generative AI systems for RAG pipelines, chatbots ... Prompt andAI Agent design: Experience withsystem prompts,one-shot,few-shot,and ability to automate ...

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... Effective written and verbal communication skills * Meticulous attention to detail and quality of ...

Deloitte Oracle Generative AI Architect Senior Managers help clients delineate strategy and vision ... Effective written and verbal communication skills * Meticulous attention to detail and quality of ...

Senior Scrum Master

Hartford, CT · Hybrid

$51.75 - $70.50/hr

... generative AI, including LLM capabilities, prompt engineering, and emerging best practices ... Proficient in Agile techniques such as writing and refining User Stories, implementing Continuous ...

AI Security Architect

Hartford, CT · On-site

$65.50 - $84.75/hr

... generative AI, large language models (LLMs), and third‑party AI services through policy ... theft, prompt injection, and unauthorized model usage • Define mitigations and compensating ...

AI Security Architect

Hartford, CT · On-site

$65.50 - $84.75/hr

... generative AI, large language models (LLMs), and third‑party AI services through policy ... theft, prompt injection, and unauthorized model usage • Define mitigations and compensating ...

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Generative Ai Prompt Writing information

See Springfield, MA salary details

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How much do generative ai prompt writing jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for generative ai prompt writing in Springfield, MA is $45.62, according to ZipRecruiter salary data. Most workers in this role earn between $31.63 and $61.11 per hour, depending on experience, location, and employer.

What are some common challenges faced by Generative AI Prompt Writers in ensuring high-quality outputs?

Generative AI Prompt Writers often encounter challenges such as crafting prompts that yield accurate, relevant, and unbiased responses from AI systems. Balancing creativity with clarity is key, as overly vague or complex prompts can lead to inconsistent outputs. Additionally, prompt writers must stay updated with evolving AI model behaviors and regularly experiment to refine their techniques, ensuring outputs meet project goals and ethical standards. Collaboration with developers, product teams, and subject matter experts is also crucial to continuously improve prompt effectiveness.

What are the key skills and qualifications needed to thrive as a Generative AI Prompt Writer, and why are they important?

To thrive as a Generative AI Prompt Writer, you need strong skills in creative writing, critical thinking, and a solid understanding of AI language models, often supported by experience in content creation or computational linguistics. Familiarity with AI platforms such as OpenAI's GPT, prompt engineering tools, and basic programming or scripting knowledge are typically required. Exceptional communication, attention to detail, and adaptability help individuals craft effective prompts and collaborate with interdisciplinary teams. These skills ensure prompts are clear, relevant, and optimized for desired AI outputs, directly impacting the effectiveness and reliability of AI-generated content.

What is generative AI prompt writing?

Generative AI prompt writing involves crafting effective instructions or queries, known as prompts, to guide artificial intelligence models like ChatGPT or DALL-E in producing desired outputs. Prompt writers must understand how these models interpret language and structure their prompts to achieve specific results, whether that's generating text, images, or other creative content. This role requires creativity, technical understanding, and iterative testing to refine prompts for optimal performance. Effective prompt writing can significantly enhance the quality and relevance of AI-generated content.
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AI Architect - Generative AI & Agentic AI (GCP)

Prophecy Technologies

Hartford, CT • On-site

Full-time

Posted 29 days ago


Job description

Job Summary
The AI Architect will lead the design and delivery of enterprise-scale AI solutions on Google Cloud Platform (GCP). This role focuses on Generative AI, Agentic AI, and classical Machine Learning/Deep Learning, enabling secure, scalable, and high-performance AI platforms using Python and Java technologies.
Key Responsibilities
  • Lead end-to-end AI architecture for enterprise products on Google Cloud Platform (GCP).
  • Architect solutions across Generative AI (GenAI), Agentic AI, classical ML/DL, and scalable microservices.
  • Define reference architectures and manage the model and pipeline lifecycle.
  • Guide engineering teams across Python and Java stacks to industrialize:
  • Large Language Models (LLMs)
  • LangGraph / LangChain agent workflows
  • Secure and reliable AI platforms
  • Design and implement GenAI and Agentic AI solutions, including:
  • LLM selection and optimization
  • Prompt engineering strategies
  • Tool usage and grounding techniques
  • Build LangGraph or LangChain agent workflows for multi-step planning, orchestration, and safe execution.
  • Develop ML/DL solutions including:
  • Supervised and unsupervised learning
  • NLP use cases
  • Vector search, embeddings, and RAG pipelines
  • Model evaluation using TensorFlow and PyTorch
  • Architect and deploy solutions using GCP services, including:
  • Vertex AI (training, endpoints, evaluation)
  • BigQuery
  • Dataflow / Apache Beam
  • Pub/Sub
  • Cloud Storage
  • IAM, KMS, and networking
  • Develop production-grade applications using:
  • Python (frameworks, packaging, testing)
  • Java (Spring Boot) for model APIs and microservices
  • Apply best practices for performance, scalability, and reliability.
  • Establish and manage MLOps and LLMOps, including:
  • Model versioning and registries
  • CI/CD pipelines
  • Feature stores and vector databases
  • Monitoring, telemetry, and alerting
  • Quality gates, red-teaming, and risk evaluation
  • Collaborate with offshore and cross-functional teams to deliver AI/ML solutions at scale.
  • Ensure security, governance, and compliance, including:
  • PII / PHI protection
  • Encryption in transit and at rest
  • Data retention policies
  • Audit readiness and governance standards

Required Skills & Experience
  • Strong experience in Generative AI and Agentic AI architectures
  • Hands-on expertise with LLMs, LangGraph, LangChain
  • Strong background in Machine Learning and Deep Learning
  • Proficiency in Python
  • Experience with Java (Spring Boot) for API and service development
  • Extensive experience with Google Cloud Platform (GCP) and Vertex AI
  • Strong understanding of MLOps and LLMOps practices
  • Experience designing secure, enterprise-grade AI platforms

Competencies
  • Digital : Python
  • Digital : Google Cloud Platform
  • Digital : AI & Generative AI - Products & Tools
  • Core : Java

Preferred Skills
  • Experience with agentic workflows and multi-agent architectures
  • Strong understanding of enterprise governance, compliance, and risk management
  • Experience leading architecture and mentoring engineering teams