1

Ai Prompt Analyst Jobs in Michigan (NOW HIRING)

AI/RPA Engineer

Kalamazoo, MI · On-site

$175K - $200K/yr

... pattern analysis • Medication adherence and documentation quality monitoring • Early-warning ... LLM Engineering & MLOps • Implement and manage LLM integrations including: • Secure prompt ...

Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and ... Implement guardrails, prompt-injection defenses, and human-in-the-loop approval checkpoints to ...

AI Specialist

Rochester, MI · On-site

$120 - $180/hr

Gather, analyze, and document business and technical requirements for AI solutions. * Design ... Knowledge of Generative AI, Large Language Models (LLMs), prompt engineering, or AI automation ...

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

... Analytics leadership roles * Proven experience building and scaling technical teams or practices * Experience in: * Generative AI technologies (LLMs, RAG pipelines, prompt engineering, API-based AI ...

... products and analytics. You will work with an AI Data Engineer (data ingestion, curation ... prompt/context patterns. * Implement LLM application patterns including RAG, document ingestion ...

AI Engineer

Grand Rapids, MI · On-site

$50K - $112K/yr

... analysis - Building and maintaining data pipelines to support AI model deployment - Applying ... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications ...

AI Engineer

Detroit, MI · On-site

$50K - $112K/yr

... analysis - Building and maintaining data pipelines to support AI model deployment - Applying ... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications ...

Ability to analyze engineering processes and translate them into structured automation solutions ... RAG, vector search, prompt engineering, or AI-assisted software development. * Experience ...

Lead AI/ML Engineer

Dearborn, MI · On-site

$94K - $124K/yr

Candidate should understand model lifecycle management, prompt engineering, and responsible AI ... Familiarity with how telematics data is ingested, processed, and applied to ML or analytics use ...

New

... prompt regression testing, and adversarial input testing. * Build and curate evaluation datasets ... Analyze test results using statistical methods and ML techniques to identify root causes, failure ...

Apply secure AI practices, including human-in-the-loop controls, guardrails, prompt-injection ... analytics in real-world environments.Hands-on experience building solutions with LLMs, AI agents ...

Showing results 21-40

Ai Prompt Analyst information

What is an AI prompt analyst?

An AI Prompt Analyst is a professional who specializes in creating, refining, and evaluating prompts to optimize the performance of artificial intelligence (AI) models, particularly large language models like ChatGPT. They analyze how AI systems respond to different inputs and adjust prompts to achieve more accurate, relevant, and useful outputs. AI Prompt Analysts often collaborate with data scientists, developers, and product teams to improve conversational AI and automate tasks efficiently. Their work is essential for maximizing the effectiveness and reliability of AI applications in various industries.

What are the key skills and qualifications needed to thrive as an AI prompt analyst?

To thrive as an AI Prompt Analyst, you need strong analytical thinking, language proficiency, and a background in computer science or linguistics. Familiarity with AI language models, prompt engineering tools, and data analysis platforms like Python or SQL is typically required. Exceptional attention to detail, creativity, and collaboration skills help set top candidates apart in developing effective AI prompts. These skills are vital for optimizing model performance, ensuring accurate outputs, and driving innovation in AI-driven solutions.

What are some common challenges AI prompt analysts face when collaborating with cross-functional teams?

Ai Prompt Analysts often work closely with engineers, designers, and product managers to refine and optimize AI-generated outputs. A common challenge is translating complex technical concepts into user-friendly prompts while ensuring alignment with project goals. Effective communication and adaptability are essential, as prompt requirements may change rapidly based on user feedback or model updates. Building strong collaboration skills helps Ai Prompt Analysts bridge gaps between technical and non-technical stakeholders, ensuring the success of AI-driven initiatives.

What is the difference between Ai Prompt Analyst vs Data Analyst?

AspectAi Prompt AnalystData Analyst
Required CredentialsRelevant certifications in AI, machine learning, or NLP; often a degree in computer science or related fieldsDegree in statistics, mathematics, or data science; certifications in data analysis tools
Work EnvironmentTech companies, AI startups, or departments focusing on AI content creationBusiness, finance, healthcare, or marketing sectors analyzing data for insights
Employer & Industry UsagePrimarily in AI development, content generation, and NLP projectsAcross industries for data-driven decision making and reporting

While both roles involve working with data and technology, an Ai Prompt Analyst specializes in crafting and optimizing prompts for AI models, focusing on language and AI interaction. A Data Analyst interprets data sets to provide insights and support decision-making. The roles overlap in technical skills but differ in their core focus and application areas.

What cities in Michigan are hiring for Ai Prompt Analyst jobs?

Cities in Michigan with the most Ai Prompt Analyst job openings:

Infographic showing various Ai Prompt Analyst job openings in Michigan as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

$175K - $200K/yr

Full-time

Re-posted 14 days ago


Beacon Specialized Living rating

5.5

Company rating: 5.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

173rd of 247 rated social care providers


Job description

Position Summary:
This role will be responsible for developing secure, compliant AI infrastructure and reusable frameworks that enable internal teams and external consultants to build and deploy AI agents for Operations, Human Resources, Admissions, and IT, while also supporting advanced LLM-driven clinical and client risk use cases integrated with Beacon's EHR, eMAR, HRIS, CRM, and incident management systems.
NOTE: **Applicants must be legally authorized to work in the United States**
Primary Responsibilities:
• Always be compliant with all company and regulatory policies and procedures.
• Design and maintain an enterprise AI Agent framework supporting:
• Task automation
• Data retrieval and summarization
• Workflow orchestration
• Human-in-the-loop approvals
• Build shared services including:
• Prompt management and versioning
• Tool and API integration layers
• Authentication, role-based access, and audit logging
Clinical AI & Client Risk Intelligence
• Develop and support LLM-powered clinical and risk-focused solutions such as:
• Behavioral and incident pattern analysis
• Medication adherence and documentation quality monitoring
• Early-warning indicators for client risk and escalation
• Integrate AI outputs into clinical workflows, dashboards, and alerts.
• Partner with clinical leadership to ensure interpretability and usability of AI insights.
LLM Engineering & MLOps
• Implement and manage LLM integrations including:
• Secure prompt pipelines
• Retrieval-Augmented Generation (RAG) using enterprise data
• Model evaluation and drift monitoring
• Deploy AI services using scalable cloud-native architecture (APIs, containers, CI/CD).
• Optimize performance, cost, and latency across production AI workloads.
Data Integration & Platform Collaboration
• Work with Data Engineering to leverage:
• Microsoft Fabric
• Azure Data Lake
• Power BI semantic models
• Integrate data from:
• EHR and eMAR platforms
Education and Qualifications:
• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
• 5+ years of experience in software engineering, data engineering, or AI engineering.
• Hands-on experience with:
• LLM APIs and orchestration frameworks
• Prompt engineering and RAG architectures
• API and microservice development

What Beacon Specialized Living employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom