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Applied Ai Engineer Jobs in Michigan (NOW HIRING)

AI Platform Engineer Location: Hybrid - 4 days/week onsite | Must be willing to interview in person ... Applied machine learning experience, including: * Embeddings * Classification * Clustering

Data and AI Engineer

Ann Arbor, MI · On-site

$112K - $134K/yr

You'll sit at the intersection of data engineering and applied AI ? building robust, production-grade data pipelines, managing OpenShift/Kubernetes-based infrastructure, and integrating AI tools with ...

... applied analytics in real-world environments.Hands-on experience building solutions with LLMs, AI agents, RAG, tool integration, orchestration, or automation frameworks .Strong programming skills ...

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

Sr. AI Engineer

Southfield, MI

$95K - $131K/yr

Strong software engineering fundamentals - testing, CI/CD, observability, error handling - applied to the realities of nondeterministic AI systems * Production cloud operations, ideally AWS ...

Sr. AI Engineer

Southfield, MI · On-site

$95K - $131K/yr

Strong software engineering fundamentals - testing, CI/CD, observability, error handling - applied to the realities of nondeterministic AI systems * Production cloud operations, ideally AWS ...

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Sound judgment in making technical trade-offs, including build vs. buy decisions AI / Applied ...

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Sound judgment in making technical trade-offs, including build vs. buy decisions AI / Applied ...

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Sound judgment in making technical trade-offs, including build vs. buy decisions AI / Applied ...

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Sound judgment in making technical trade-offs, including build vs. buy decisions AI / Applied ...

You'll combine hands-on engineering with leadership, guiding architecture decisions, mentoring ... Drive adoption of AI solutions and collaborate with engineering teams, product leaders, and domain ...

Your primary focus will be defining how AI is applied at scale-ensuring solutions are robust ... AI Engineering Leadership: * Define best practices for AI solution design, deployment, and ...

Work you'll do You will bring strong engineering depth and applied AI knowledge, combined with expertise in cybersecurity principles, to design and deliver secure, scalable solutions. This role ...

Work you'll do You will bring strong engineering depth and applied AI knowledge, combined with expertise in cybersecurity principles, to design and deliver secure, scalable solutions. This role ...

Work you'll do You will bring strong engineering depth and applied AI knowledge, combined with expertise in cybersecurity principles, to design and deliver secure, scalable solutions. This role ...

Deep applied AI/ML and deployment engineering experience: you've built production-ready AI systems and owned them through their production lifecycle, partnering with engineering teams to keep them ...

Senior AI/ML Engineer

Dearborn Heights, MI · On-site

$96K - $132K/yr

Experience in a product engineering role with proven track record of translating business needs into technical specifications for applied AI implementation. * Knowledge Graph: Understanding semantic ...

Showing results 21-40

Applied Ai Engineer information

What are the key skills and qualifications needed to thrive as an applied AI engineer?

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What are some common challenges applied AI engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

How much does an applied AI engineer make?

An applied AI engineer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What are popular job titles related to Applied Ai Engineer jobs in Michigan?

For Applied Ai Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Applied Ai Engineer jobs in Michigan look for?

The top searched job categories for Applied Ai Engineer jobs in Michigan are:

What cities in Michigan are hiring for Applied Ai Engineer jobs?

Cities in Michigan with the most Applied Ai Engineer job openings:

Infographic showing various Applied Ai Engineer job openings in Michigan as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

AI Engineer

Dearborn, MI • On-site

Apex Systems
IT Services • 1 - 5K employees

Other

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago


Job description

Job#: 3043318
Job Description:
Role: AI Platform Engineer
Location: Hybrid - 4 days/week onsite | Must be willing to interview in person
Duration: Long-Term Contract
Description:
We are seeking a Senior AI Platform Engineer to design, build, and scale next-generation AI solutions for an Enterprise Data Platform on Google Cloud Platform (Google Cloud Platform). This is a highly technical, hands-on individual contributor role focused on developing production-grade multi-agent AI systems, AI-powered workflows, and developer-facing capabilities.
The ideal candidate will combine deep software engineering expertise with practical experience building and operating LLM-based applications in production environments. This role requires ownership of solution architecture, hands-on development, technical leadership, and cross-functional collaboration to deliver scalable, secure, and observable AI solutions.
Key Responsibilities
AI Solution Architecture
  • Design and implement multi-agent AI systems and agent orchestration frameworks.
  • Evaluate architectural trade-offs, including:
    • Single-agent vs. multi-agent architectures
    • Retrieval-Augmented Generation (RAG) vs. fine-tuning approaches
    • Agent workflow design and orchestration strategies
  • Contribute to Architecture Decision Records (ADRs) and technical design documentation.
  • Define scalable, secure, and maintainable AI platform patterns.

AI Application Development
  • Develop and deploy production-grade AI applications and agentic workflows.
  • Build solutions supporting:
    • Natural Language to SQL (NL-to-SQL)
    • Semantic search
    • Metadata enrichment
    • Intelligent automation workflows
  • Implement AI guardrails, observability, monitoring, and evaluation frameworks.
  • Leverage modern agent development tools and coding assistants.

Full-Stack Engineering
  • Develop backend services using:
    • Python
    • FastAPI
  • Build frontend experiences using:
    • Angular
    • React
  • Create chat interfaces, APIs, developer tooling, and user-facing AI experiences.
  • Own end-to-end feature delivery from design through production deployment.

Engineering Excellence
  • Write high-quality, maintainable, and testable code.
  • Lead technical reviews and establish engineering best practices.
  • Perform root-cause analysis and troubleshoot complex AI agent failures.
  • Serve as the team's technical expert for advanced AI and platform engineering challenges.
  • Drive continuous improvements in reliability, scalability, and performance.

Collaboration & Leadership
  • Partner closely with Product Management, Data Engineering, and Platform Engineering teams.
  • Participate in sprint planning, backlog refinement, and technical roadmap discussions.
  • Mentor team members and promote knowledge sharing.
  • Support onboarding and technical development of new engineers.

Required Qualifications
Experience
  • 5+ years of professional software engineering experience.
  • Demonstrated hands-on coding expertise with modern application development practices.
  • Experience building and operating AI-powered applications or LLM-based systems in production environments.
  • Ability to interpret ambiguous business requirements and independently deliver robust, well-tested solutions.
  • Experience designing scalable cloud-native applications.

Technical Skills
  • Artificial Intelligence and Expert Systems
  • Large Language Models (LLMs)
  • Agent-based AI architectures
  • API development and microservices
  • Python development
  • FastAPI
  • Frontend development using Angular or React
  • Production software engineering and DevOps practices

Agentic AI Experience
  • Experience building agent-based systems using frameworks such as:
    • Google Agent Development Kit (ADK)
    • CrewAI
    • LangGraph
    • Similar agent orchestration platforms
  • Familiarity with agentic development tools and AI-assisted coding environments, including:
    • OpenCode
    • Claude Code
    • Comparable AI developer productivity tools

Preferred Qualifications
Cloud & Platform Experience
  • Google Cloud Platform (Google Cloud Platform)
  • Cloud-native application architecture
  • Platform engineering and AI infrastructure

Machine Learning & AI
  • Applied machine learning experience, including:
    • Embeddings
    • Classification
    • Clustering
    • Natural Language Processing (NLP)
    • Model evaluation and benchmarking
  • Experience implementing AI evaluation frameworks and quality metrics.

Data & Governance
  • Familiarity with:
    • Data engineering principles
    • Enterprise data platforms
    • Metadata management
    • Data governance processes

Education
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.

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.
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