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Applied Intelligence Jobs in Michigan (NOW HIRING)

... applied quantum techniques outside of information applications. · Design and execute rigorous ... intellectual property, and publications (an active interest in publishing is highly desirable). · ...

... intelligence and machine learning. What does Thomson Reuters Labs do? We experiment, we build, we ... About the Role As a Lead Applied Scientist, you will define research strategy and lead high-impact ...

Controls Technologist 1

Warren, MI · On-site

$28.25 - $37/hr

Overview / Responsibilities Wood's Applied Intelligence -Automation and Controls business is currently recruiting for an Electrical Controls Technologist 1 in Warren, MI. with the ability to create ...

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Applied Intelligence information

See Michigan salary details

$39.7K

$91.2K

$125.5K

How much do applied intelligence jobs pay per year?

As of Jul 5, 2026, the average yearly pay for applied intelligence in Michigan is $91,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $103,300.00 per year, depending on experience, location, and employer.

What is an Applied Intelligence job?

An Applied Intelligence job focuses on leveraging data, analytics, AI, and automation to solve business challenges and drive decision-making. Professionals in this role work with advanced technologies to analyze trends, optimize processes, and improve efficiency. They collaborate with teams across various industries to develop data-driven strategies and innovative solutions. Typical responsibilities may include machine learning model development, data visualization, and business intelligence reporting. This role is ideal for individuals with strong analytical, problem-solving, and technical skills.

What jobs pay 500,000 a year in the US?

In the field of Applied Intelligence, high-paying roles such as Chief Data Officer, Chief AI Officer, or senior cybersecurity executive can reach or exceed $500,000 annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data analysis, machine learning, or cybersecurity, and often involve leadership responsibilities and strategic decision-making.

Is 40 too old to join CIA?

Applying for roles in intelligence agencies like the CIA generally does not have strict age limits, and candidates of various ages can qualify if they meet the necessary skills, experience, and security clearance requirements. Age may be considered during the background check process, but relevant experience, education, and physical fitness are often more important factors.

What are the typical projects and responsibilities for an Applied Intelligence role?

In an Applied Intelligence role, you will typically work on projects that involve analyzing large datasets, developing predictive models, and generating actionable insights to solve real business challenges. Daily responsibilities may include collaborating with cross-functional teams, building dashboards and reports, and presenting findings to stakeholders. You'll often partner closely with IT, marketing, operations, and executive leadership to ensure that data-driven recommendations align with organizational objectives. This role offers exposure to various industries and processes, making it ideal for those interested in both analytics and business strategy. Over time, strong performers can advance to leadership positions or specialized roles in data science or business analytics.

What are the key skills and qualifications needed to thrive in the Applied Intelligence position, and why are they important?

To thrive as an Applied Intelligence professional, you need a strong background in data analytics, problem-solving, and business strategy, often with a degree in computer science, engineering, or a related field. Familiarity with data analysis tools (like SQL, Python, R), business intelligence platforms (such as Power BI or Tableau), and certifications in analytics or project management are commonly required. Excellent communication, adaptability, and collaborative skills are essential to translate complex insights into actionable business solutions. These skills are crucial for effectively driving data-driven initiatives that help organizations achieve strategic goals.

What is applied intelligence?

Applied intelligence in a job context refers to the use of data analysis, machine learning, and artificial intelligence techniques to solve real-world problems and improve decision-making processes. Professionals in this field often work with tools like data analytics platforms, programming languages, and AI models to develop solutions across various industries.

Which 3 jobs will survive AI?

Applied Intelligence professionals, such as data analysts, AI specialists, and cybersecurity experts, are likely to continue thriving as their roles involve complex problem-solving, strategic decision-making, and oversight of AI systems. These jobs require critical thinking, domain expertise, and ethical considerations that are difficult for AI to fully replicate. Skills in data management, programming, and understanding AI tools will enhance job security in this field.
What are the most commonly searched types of Applied Intelligence jobs in Michigan? The most popular types of Applied Intelligence jobs in Michigan are:
Infographic showing various Applied Intelligence job openings in Michigan as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $91,207 per year, or $43.8 per hour.

Applied Quantum Researcher

CTC USA, LLC

Ann Arbor, MI • On-site

Other

Posted 12 days ago


Job description

Job Title:  Quantum Researcher 

Location:  Plano, TX

Duration: Long Term

About CTC:

Founded in 1996, CTC is a global IT services, Consulting and Business Solutions partner dedicated to helping organizations innovate, optimize, and grow. With over 2,000 professionals worldwide, we support more than 100 clients in transforming complex challenges into lasting competitive advantages.

Description:

Job description (Duty & Responsibility):

·         Design and implement quantum photonic devices and components, especially related to quantum communication, single photon generation, entanglement, and low count measurement techniques. Design assembly of components into subsystems.

·         Conduct research on quantum information and quantum communication techniques such as squeezed light, quantum interference, and mode decomposition.

·         Investigate novel methodologies for applied quantum techniques outside of information applications.

·         Design and execute rigorous experiments to characterize quantum photonics devices and components under various environmental conditions (temperature, vibration, magnetic fields) to ensure robustness.

·         Contribute to efforts to establish quantum information test bench, including the development of standardized calibration and automated measurement system. Develop and test single photon sources and implementation into larger systems. Optimize system performance while maintaining quantum state.

·         Ability to work within and contribute to cross-disciplinary research teams with key deliverables including prototypes, intellectual property, and publications (an active interest in publishing is highly desirable).

·         Willingness to participate in, support, and contribute to work-place safety culture and activities.

Requirements:

Required minimum education and experience:

·         Ph.D. in Physics, Applied Physics, Electrical Engineering, Optical Engineering, or a related field.

Requirements:

·         Quantum Systems: Deep understanding of entanglement, mode decomposition, nonlinear generation of states and spin physics

·         Optical Systems: Proficiency in laser systems, optical design, precision coupling, free-space alignment, and photon detection

·         Instrumentation: Hands-on experience with chip-scale photonics testing, precision fiber alignment, instrument coordination/synchronization, and rigorous data validation.

·         Programming: Strong skills in Python, MATLAB, or similar for data analysis and instrument control

Scientific Writing: Clear communication of results to internal research teams using graphs, mathematics, etc.

Preferred Skills:

    • Simulation & Design: Background in integrated photonics design and Finite-Difference Time-Domain (FDTD) simulation tools (e.g., Lumerical, COMSOL, CST).
    • Electronics: Familiarity with high-speed electronics design, PCB layout, and optoelectronic packaging.
    • Fabrication: Experience with nanofabrication techniques (e-beam lithography, etching) is a plus.