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Manager Prompt Engineering Jobs in Michigan (NOW HIRING)

Principal Software Engineer

Detroit, MI · On-site

$133K - $179K/yr

Create and update operations procedures for daily routine management processes * Maintain ... Contribute to standards, reference architectures, and best practices for AI engineering, prompt ...

Principal Software Engineer

Auburn Hills, MI

$127K - $171K/yr

Create and update operations procedures for daily routine management processes * Maintain ... Contribute to standards, reference architectures, and best practices for AI engineering, prompt ...

... prompt engineering for LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS CloudFormation, Azure Resource Manager, Terraform - Building and deploying ...

... and prompt engineering to prototype solutions, accelerate workflows, improve documentation, and ... Risk Management & Quality Assurance: ● Identify operational, technical, and customer risks ...

$93K - $122K/yr

... managed AI services. -Experience with prompt engineering, orchestration patterns, or AI workflow automation. -Experience with tools such as ChatGPT, Claude, Copilot, Codex, or similar AI-assisted ...

New

ERP AI Engineer - Manager

Detroit, MI · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Oracle Management Level Manager & Summary At PwC, our ... and prompt engineering - Building scalable, cloud-native microservices and containerized ...

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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 Michigan? The most popular types of Prompt Engineering jobs in Michigan are:
What cities in Michigan are hiring for Manager Prompt Engineering jobs? Cities in Michigan with the most Manager Prompt Engineering job openings:
Mid-Level AI Engineer / AI Developer

Mid-Level AI Engineer / AI Developer

Apex Systems

Ann Arbor, MI • On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago

New


Job description

Job#: 3041033
Job Description:
Mid-Level AI Engineer / AI Developer
Position Summary
We are seeking a Mid-Level AI Engineer to design, develop, deploy, and support AI-powered applications and services that deliver business value at scale. This role works closely with software engineers, product managers, architects, data teams, and business stakeholders to build enterprise-grade AI solutions using modern machine learning techniques, generative AI platforms, agent frameworks, and cloud-native software engineering practices.
Experience Level
Professional Experience
  • 3-6 years of software engineering or application development experience.
  • 2+ years of hands-on experience delivering AI, machine learning, or Generative AI solutions.

Key Responsibilities
AI Application Development
  • Design, develop, test, deploy, and maintain AI-enabled applications and services.
  • Build and integrate Generative AI solutions using Large Language Models (LLMs) and foundation models.
  • Develop AI-powered copilots, assistants, conversational experiences, and enterprise automation solutions.
  • Engineer scalable AI workflows that leverage prompt orchestration, tool usage, and agent-based interactions.
  • Translate business requirements into secure, reliable, and maintainable technical solutions.

Generative AI & Agent Engineering
  • Develop AI agents, tools, workflows, and orchestration frameworks.
  • Design and implement Retrieval-Augmented Generation (RAG), semantic search, and enterprise knowledge retrieval solutions.
  • Build and maintain MCP (Model Context Protocol) integrations, tool-calling frameworks, and multi-agent systems.
  • Create and optimize prompts, system instructions, and evaluation processes to improve AI performance and reliability.
  • Evaluate model behavior and implement strategies for improving response quality, grounding, and accuracy.

Software Engineering & Platform Development
  • Build APIs, microservices, and backend services that support AI workloads.
  • Develop reusable components and services that enable scalable AI capabilities across the organization.
  • Apply software engineering best practices including code reviews, testing, documentation, and version control.
  • Participate in architectural design and technical decision-making for AI solutions and platforms.
  • Ensure AI services meet performance, scalability, security, and availability requirements.

AI Operations & Optimization
  • Evaluate, benchmark, and optimize AI models for quality, latency, reliability, and cost efficiency.
  • Implement automated testing, monitoring, logging, and observability for AI applications.
  • Support AI systems in production environments and participate in troubleshooting, incident response, and root cause analysis.
  • Monitor application performance and implement continuous improvements based on usage and operational insights.
  • Establish evaluation frameworks and performance benchmarks for AI systems.

Governance, Security & Compliance
  • Implement responsible AI practices and enterprise governance requirements.
  • Ensure AI solutions comply with security, privacy, and regulatory requirements.
  • Apply guardrails, content controls, identity management, and access controls where appropriate.
  • Collaborate with security, compliance, and architecture teams to mitigate risks associated with AI deployments.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
  • 3-6 years of software development experience.
  • Minimum 2 years of experience developing AI, machine learning, or Generative AI solutions.
  • Strong programming skills in one or more of the following:
    • Python
    • Java
    • C#
    • JavaScript / TypeScript
  • Experience designing and developing RESTful APIs and distributed services.
  • Experience working with cloud platforms including:
    • Microsoft Azure
    • Amazon Web Services (AWS)
    • Google Cloud Platform (Google Cloud Platform)
  • Solid understanding of software engineering fundamentals, including:
    • Object-oriented design
    • Design patterns
    • Automated testing
    • CI/CD pipelines
    • Application security
    • Monitoring and observability
  • Experience working within Agile software development environments.
  • Strong problem-solving, analytical, and communication skills.

Preferred Qualifications
  • Experience working with industry-leading AI platforms and models, including:
    • OpenAI
    • Azure OpenAI
    • Anthropic Claude
    • Google Gemini
  • Experience developing:
    • AI agents
    • Agent orchestration platforms
    • MCP-based integrations
    • Tool-calling frameworks
    • Multi-agent workflows
  • Experience implementing RAG architectures and enterprise knowledge search solutions.
  • Familiarity with vector databases, embeddings, semantic search, and knowledge retrieval systems.
  • Experience with prompt engineering, prompt evaluation, and AI benchmarking frameworks.
  • Experience with containerization and orchestration technologies, including:
    • Docker
    • Kubernetes
    • Cloud Run
  • Experience deploying and operating cloud-native applications.
  • Knowledge of Responsible AI, AI governance, and enterprise AI risk management practices.

EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.