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Agentic Ai Jobs in Rochester Hills, MI (NOW HIRING)

Kuehne+Nagel

AI Agentic Engineer

Detroit, MI · On-site

AI Agentic Engineer It's more than a job We are seeking an Agentic AI Engineer to design and scale autonomous AI solutions within our Sea Logistics business. In this role, you will build intelligent ...

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All JobsAgentic Ai JobsAgentic Ai Jobs in Rochester Hills, MI

Agentic Ai information

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$32

$60

$107

How much do agentic ai jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for agentic ai in Rochester Hills, MI is $60.54, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $92.07 per hour, depending on experience, location, and employer.

What are agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.

What are the key skills and qualifications needed to thrive as an AI engineer, and why are they important?

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

How do agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are in demand in industries like technology, robotics, and automation. Careers in this field typically require skills in machine learning, programming, and data analysis, and can offer growth opportunities as AI technology advances.

What type of jobs are in agentic AI?

Jobs in agentic AI involve developing, training, and deploying autonomous AI systems that can perform tasks independently, such as AI research scientist, machine learning engineer, AI software developer, and data scientist. These roles typically require skills in programming, machine learning frameworks, and understanding of AI ethics and safety protocols.

What job categories do people searching Agentic Ai jobs in Rochester Hills, MI look for?

The top searched job categories for Agentic Ai jobs in Rochester Hills, MI are:

What cities near Rochester Hills, MI are hiring for Agentic Ai jobs?

Cities near Rochester Hills, MI with the most Agentic Ai job openings:

Agentic Ai jobs near you
Infographic showing various Agentic Ai job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $125,927 per year, or $60.5 per hour.

Workday Architect (Agentic AI Focus)

Meta Force Technology Staffing LLC

Warren, MI • On-site

$59.25 - $78/hr

Contractor

Posted 26 days ago

Job description

Workday Architect (Agentic AI Focus)
Position Title: Workday Architect
Location: Warren, MI (MIC Location - Hybrid) or Austin, TX or Bay Area, CA
Duration: 6-Month Contract (Contract-to-Hire options available)
Position Overview:
We are seeking an expert Workday Architect to deliver technical designs, architectural frameworks, and end-to-end solutions that incorporate Agentic AI into corporate employee journeys. Based out of the Michigan Innovation Center (MIC) in Warren, you will be responsible for designing and developing complex integrations that interface core Workday modules with modern enterprise artificial intelligence utilities.
Key Responsibilities:
Design, build, and deliver stable Workday integrations connecting various AI tools to optimize employee lifecycle journeys across HR and performance sectors.
Partner actively with software engineers, third-party technology providers, and internal business groups to engineer secure, efficient connection layers.
Oversee the end-to-end lifecycle of technical solutions, from abstract design to deployment and validation.
Required Qualifications:
Proven, deep technical experience designing complex Workday integrations using enterprise development toolsets including Workday Studio, EIB, Core Connectors, and REST/SOAP APIs.
Extensive hands-on experience configuring and administering middleware layers to connect core Workday modules (Recruiting, Performance, Compensation, and Core HCM).
Specialized knowledge or strong practical familiarity with Agentic AI frameworks and integrating them into enterprise applications.
Key Deliverables:
Lead and successfully execute the end-to-end solution design and actual development of Workday integrations with enterprise AI tools to facilitate seamless digital employee journeys