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Entry Level Ai Jobs in Michigan (NOW HIRING)

Pwc

AI Engineer

Detroit, MI · On-site

$55K - $187K/yr

In this role, you will design AI systems, engage in data wrangling, and implement software to make ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Engineer

Grand Rapids, MI · On-site

$55K - $187K/yr

In this role, you will design AI systems, engage in data wrangling, and implement software to make ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Governance Sr Associate

Detroit, MI · On-site

$72K - $212K/yr

This role presents a unique opportunity to influence AI practices and drive impactful change within ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Controls Engineer

Detroit, MI · On-site

$80K - $82K/yr

*Must be okay with travel Entry Level Position: College Graduate - 2 years experience This is a ... Architect custom solutions using the appropriate technologies from control databases to AI to User ...

General Motors

Entry-Level Wheel Designer

Warren, MI

We are seeking an entry-level Wheel Designer to join the Wheel Design team at General Motors. This ... Integrate AI-assisted tools (e.g., generative image/model workflows) into your process for rapid ...

General Motors

Entry-Level Wheel Designer

Warren, MI · On-site

We are seeking an entry-level Wheel Designer to join the Wheel Design team at General Motors. This ... Integrate AI-assisted tools (e.g., generative image/model workflows) into your process for rapid ...

General Motors

Entry-Level Wheel Designer

Warren, MI

We are seeking an entry-level Wheel Designer to join the Wheel Design team at General Motors. This ... Integrate AI-assisted tools (e.g., generative image/model workflows) into your process for rapid ...

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All JobsAi JobsEntry Level Ai JobsEntry Level Ai Jobs in Michigan

Entry Level Ai information

See Michigan salary details

$18K

$48.9K

$133.9K

How much do entry level ai jobs pay per year?

As of Aug 2, 2026, the average yearly pay for entry level ai in Michigan is $48,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,736.00 and $46,982.00 per year, depending on experience, location, and employer.

Which 5 jobs will survive AI?

Entry-level AI roles such as data analysts, AI support specialists, machine learning technicians, AI trainers, and AI ethics coordinators are likely to persist as they require human oversight, domain knowledge, and interpretative skills that AI cannot fully replicate. These jobs often involve tasks like data curation, model validation, and ethical considerations, which benefit from human judgment and contextual understanding.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, chief AI officers, or senior data scientists at top companies, which can offer compensation packages including salary, bonuses, and stock options reaching or exceeding that amount. These roles usually require extensive experience, advanced skills in machine learning, deep learning, and programming, as well as leadership responsibilities and often a strong educational background. Entry-level AI positions generally do not offer such high salaries.

Do entry level AI jobs exist?

Yes, entry level AI jobs are available and typically require foundational skills in programming, data analysis, and machine learning. These roles often involve tasks such as data preprocessing, model training, and assisting with AI development under supervision, making them accessible to recent graduates or those new to the field.

What does the typical day-to-day work look like for an Entry Level AI professional?

As an Entry Level AI professional, your day-to-day tasks often include data cleaning, assisting in the development and testing of machine learning models, and collaborating with more experienced team members on ongoing projects. You may also conduct research to stay current with new AI techniques and help prepare reports or presentations on model performance. Many entry-level roles emphasize learning and mentorship, providing opportunities to receive feedback and continuously develop new technical skills. The position usually involves a mix of independent work and teamwork, offering exposure to real-world AI applications and laying a solid foundation for future career advancement.

How do I start an AI career with no experience?

Entry-level AI roles typically require foundational knowledge in programming, mathematics, and machine learning concepts. Beginners can start by learning Python, exploring online courses, working on small projects, and gaining familiarity with tools like TensorFlow or PyTorch to build practical skills.

What is an Entry Level AI job?

An Entry Level AI job is a starting position in the field of artificial intelligence, typically requiring basic knowledge of machine learning, data science, or software development. These roles involve assisting in data preprocessing, model development, and testing AI algorithms. Common titles include AI Research Assistant, Machine Learning Engineer Intern, or Data Analyst. Employers look for candidates with programming skills (Python, TensorFlow, etc.), strong analytical abilities, and a foundational understanding of AI concepts. Many positions require a degree in computer science, mathematics, or a related field, though some opportunities exist for self-taught individuals with relevant projects or certifications.

What are the key skills and qualifications needed to thrive in the Entry Level Ai position, and why are they important?

To thrive as an Entry Level AI professional, you typically need a foundational understanding of programming (such as Python), basic knowledge of machine learning concepts, and a relevant bachelor’s degree in computer science or a related field. Familiarity with tools and libraries like TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as certifications in data science or AI, are highly valuable. Strong problem-solving abilities, a willingness to learn, and collaboration skills help you excel when working on diverse projects and teams. These skills and qualities are crucial for adapting to the rapidly evolving AI field and contributing effectively to organizational goals.

What are the most commonly searched types of Ai jobs in Michigan? The most popular types of Ai jobs in Michigan are:
What are popular job titles related to Entry Level Ai jobs in Michigan? For Entry Level Ai jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai jobs in Michigan look for? The top searched job categories for Entry Level Ai jobs in Michigan are:
What cities in Michigan are hiring for Entry Level Ai jobs? Cities in Michigan with the most Entry Level Ai job openings:
Entry Level Ai jobs near you
Infographic showing various Entry Level Ai job openings in Michigan as of July 2026, with employment types broken down into 43% Full Time, and 57% Part Time. Highlights an 100% In-person job distribution, with an average salary of $48,874 per year, or $23.5 per hour.

Generative AI Researcher

Tata Consultancy Services

Warren, MI • On-site

Full-time

Re-posted 13 days ago

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

170th of 221 rated it services

Job description

Job Summary:

We are seeking a highly skilled and creative Entry Level - Generative AI Engineer to apply state-of-the-art generative models to solve complex challenges in automotive engineering. This role focuses on creating intelligent agents that leverage generative capabilities for reasoning, planning, and executing complex tasks autonomously. The ideal candidate will bridge the gap between generative AI's creative potential and agentic AI's autonomous action, developing systems that can understand, reason, and act in dynamic environments.

Key Responsibilities

Integrated AI System Development:

Design and build AI agents that utilize large language models for reasoning and decision-making

Develop systems where generative AI components enable sophisticated planning and problem-solving

Create autonomous agents capable of using tools, APIs, and external systems through generative interfaces

Implement multi-agent systems where generative AI facilitates communication and collaboration

Generative AI Capabilities:

Fine-tune and optimize large language models for specific agentic tasks

Develop prompt engineering strategies for complex reasoning and chain-of-thought processes

Implement RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context

Create generative models for code generation, content creation, and strategic planning within agent frameworks

Agent Architecture & Autonomy:

Build reflective agents that can critique and improve their own reasoning processes

Design goal-oriented systems that use generative AI for planning and adaptation

Implement memory architectures that allow agents to learn from experience and maintain context

Develop safety mechanisms and oversight for autonomous generative agents

Multi-Modal Agent Systems:

Integrate vision, language, and action capabilities within agent frameworks

Develop agents that can process and generate across multiple modalities (text, image, audio)

Create embodied agents that interact with digital and physical environments

Research & Innovation: Stay current with the latest academic research and open-source advancements in generative AI. Prototype new ideas and conduct experiments to validate their feasibility and impact.

Education: Ph.D in Computer Science, Electrical Engineering, Mechanical Engineering or related streams.

Technical Proficiency:

Experience with generative AI (LLMs, diffusion models, generative architectures)

Experience with agentic AI systems, reinforcement learning, or autonomous systems

Strong programming skills in Python and experience with AI/ML frameworks (PyTorch, TensorFlow)

Experience with LangChain, AutoGPT, Microsoft Autogen, or similar agent frameworks

Proficiency with transformer architectures and fine-tuning techniques

Deep understanding of prompt engineering, reasoning techniques, and LLM capabilities

Experience with RAG systems, vector databases, and knowledge retrieval

Knowledge of reinforcement learning, planning algorithms, and decision-making systems

Familiarity with multi-agent systems and emergent behavior

Ph.D

What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Tata Consultancy Services logo

About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

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