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Entry Level Generative Ai Prompt Engineer Jobs in New York

Jobright.ai

Junior Threat Context Analyst

Manhattan, NY · On-site

$150 - $200/hr

... Generative AI knowledge LLMs experience AI prompt engineering Analytical skills Communication skills Required Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing ...

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Entry Level Generative Ai Prompt Engineer information

What is an entry level generative AI prompt engineer?

Entry Level Generative AI Prompt Engineers are professionals who design, test, and refine prompts to interact with generative AI models, such as those used in chatbots or content creation tools. Their role involves understanding how AI responds to different inputs, troubleshooting issues, and optimizing prompts for accuracy and relevance. They typically collaborate with developers, data scientists, and content teams to improve AI outputs for various applications. This entry-level position is ideal for those with basic programming knowledge, strong communication skills, and an interest in artificial intelligence.

What are the key skills and qualifications needed to thrive as an entry level generative AI prompt engineer?

To thrive as an Entry Level Generative AI Prompt Engineer, you need a foundational understanding of natural language processing, basic programming skills (often in Python), and familiarity with AI concepts, typically supported by a relevant degree or coursework. Experience with AI platforms like OpenAI, Hugging Face, or Google Cloud AI, as well as prompt design tools, is commonly required. Creativity, analytical thinking, and strong written communication help you craft effective prompts and collaborate with cross-functional teams. These skills are crucial for developing high-quality AI outputs and ensuring solutions align with user needs and project goals.

What are some common challenges faced by entry level generative AI prompt engineers, and how can they overcome them?

Entry-level generative AI prompt engineers often encounter challenges such as crafting effective prompts that yield reliable outputs, staying current with rapidly evolving AI models, and interpreting ambiguous model responses. Overcoming these challenges requires continuous learning, experimentation, and collaboration with more experienced engineers or data scientists. Participating in team discussions, reviewing prompt libraries, and regularly testing prompts with different models can help newcomers build their expertise and confidence in the role.

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

AspectEntry Level Generative Ai Prompt EngineerEntry Level Data Scientist
Required CredentialsBachelor's in CS, AI, or related; basic understanding of AI modelsBachelor's in CS, Statistics, or related; knowledge of data analysis
Work EnvironmentAI labs, tech companies, startupsData analysis teams, research institutions, tech firms
Industry UsageAI development, NLP, chatbot creationData analysis, predictive modeling, research

While both roles require a foundational understanding of technology and data, Entry Level Generative Ai Prompt Engineers focus on designing prompts for AI models, especially in NLP, whereas Entry Level Data Scientists analyze data to derive insights. The roles overlap in technical skills but differ in application and focus areas.

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

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

What are popular job titles related to Entry Level Generative Ai Prompt Engineer jobs in New York?

For Entry Level Generative Ai Prompt Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Entry Level Generative Ai Prompt Engineer jobs in New York look for?

The top searched job categories for Entry Level Generative Ai Prompt Engineer jobs in New York are:

Entry Level Generative Ai Prompt Engineer jobs near you
Infographic showing various Entry Level Generative Ai Prompt Engineer job openings in New York as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution.

Junior Threat Context Analyst

Manhattan, NY • On-site

Jobright.ai
See more jobs at Jobright.aiexternal

$150 - $200/hr

Other

Posted 9 days ago

Job description

Microsoft is seeking a Threat Context Analyst to join the Threat Analysis Center (MTAC) to focus on identifying and mitigating AI abuses. The role involves tracking sophisticated threat actors and writing threat intelligence reports, while contributing to MTAC's mission of detecting and disrupting digital threats.

Responsibilities
  • Research and assess cyber and malign influence threats at tactical and strategic levels by drawing on information from social media accounts and websites, foreign policy priorities and perspectives from open-source reporting
  • Understand the components of generative AI and how technology stacks produce AI outputs
  • Identify and triage AI abuses based on behavioral and technical indicators
  • Write threat intelligence reports for audiences on adversary influence actors, networks, and operations powered by artificial intelligence (AI)
  • Work closely with the broader Microsoft Threat Intelligence team in its investigations of nation state cyber, influence, and AI-first actor investigations
  • Develop engaging presentations and brief various stakeholders under tight deadlines
  • Follow innovative, non-intrusive, law-abiding methods for detecting, diagnosing, and deterring the most advanced and prolific threats in the information environment
Qualification

Data wrangling Python SQL Predictive modeling Generative AI knowledge LLMs experience AI prompt engineering Analytical skills Communication skills

Required

Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 1+ year(s) experience investigating a combination of cyber and influence operations in either the public sector, private sector or a combination of the two

OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 2+ years experience investigating a combination of cyber and influence operations in either the public sector, private sector or a combination of the two

Proficiency in data wrangling and processing pipelines using tools such as pandas, NumPy, or PySpark and fluency in Python and SQL tools with experience collecting large-scale data, building analytics/automation pipelines, creating dashboards, and communicating data-driven insights to non-technical partners

Experience building exploratory predictive models, including rapid profiling of new data sets and application of lightweight ML/statistics (clustering, anomaly detection, baseline classifiers/regressors) to surface trends and generate actionable insights and forecasts

Preferred
  • Deep understanding of how generative AI systems work end-to-end, from data collection and pretraining through fine-tuning and inference
  • Extensive hands-on use of LLMs and experience red-teaming or evaluating failure modes (jailbreaks, hallucinations, bias, prompt injection, leakage)
  • Understanding of AI prompt engineering and prompt attack methods (e.g., prompt injection, indirect prompt leakage, prompt leaking across contexts)
  • Ability to distinguish different threat actor techniques for employing generative AI and how they can be correlated to attribute threat actors
  • Software, cloud computing, consumer electronics, and enterprise systems.
  • Data wrangling Python SQL Predictive modeling Generative AI knowledge
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