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Entry Level Ai Engineer Jobs in Michigan (NOW HIRING)

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Entry Level Controls Engineer

Detroit, MI · On-site

$82K - $106K/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 ...

DISHER

Senior Controls Engineer

Zeeland, MI · On-site

$89K - $117K/yr

Mentor, coach, and train entry level Controls Engineers * Communicate with all departments on ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

DISHER

Senior Controls Engineer

Zeeland, MI · On-site

$89K - $117K/yr

Mentor, coach, and train entry level Controls Engineers * Communicate with all departments on ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

DISHER

Senior Controls Engineer

Zeeland, MI

$89K - $117K/yr

Mentor, coach, and train entry level Controls Engineers * Communicate with all departments on ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

OneStream Software

Software Engineer I

Rochester, MI · On-site

Use AI-assisted development tools to accelerate development, refactoring, test creation, and ... Azure Fundamentals or entry-level Azure certification. Knowledge, Skills, and Abilities * Solid ...

OneStream Software

Software Engineer I

Birmingham, MI · On-site

Use AI-assisted development tools to accelerate development, refactoring, test creation, and ... Azure Fundamentals or entry-level Azure certification. Knowledge, Skills, and Abilities * Solid ...

Acrisure

Software Engineer I

Grand Rapids, MI

Career framework alignment: Entry-level role on the Software Engineer ladder; this description is ... Use AI-assisted engineering workflows, including Claude Code or similar tools, to support ...

Pwc

AI Governance Sr Associate

Detroit, MI

$72K - $212K/yr

... Engineering, Finance, Mathematics/Statistics, Project/Technology Management - Applying experience ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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All JobsAi Engineer JobsEntry Level Ai Engineer JobsEntry Level Ai Engineer Jobs in Michigan

Entry Level Ai Engineer information

See Michigan salary details

$26.1K

$60.5K

$102.8K

How much do entry level ai engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for entry level ai engineer in Michigan is $60,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,900.00 and $68,400.00 per year, depending on experience, location, and employer.

Can you become an AI engineer with no experience?

Entry-level AI engineering roles often require some foundational knowledge of programming, mathematics, and machine learning concepts, but many employers are willing to train candidates with strong problem-solving skills and a willingness to learn. Gaining experience through online courses, certifications, and personal projects can help you qualify for such positions. Building a portfolio demonstrating practical skills can improve your chances of entering the field without prior professional experience.

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

To thrive as an Entry Level AI Engineer, you need a solid background in computer science, mathematics (especially linear algebra and statistics), and programming languages like Python, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and sometimes entry-level certifications in AI or data science is valuable. Strong problem-solving abilities, eagerness to learn, and teamwork skills help you stand out in this collaborative and evolving field. These skills and qualities are crucial to effectively develop AI models, adapt to new technologies, and contribute meaningfully to innovative projects.

What types of projects do entry-level AI engineers typically work on, and how do they contribute to larger team goals?

Entry-level AI engineers often start by assisting with data preprocessing, building and testing machine learning models, and supporting the deployment of AI solutions. They may also help maintain existing models, write scripts to automate workflows, and contribute to documentation. These tasks are crucial for larger team projects, as they ensure data quality and provide foundational components for more advanced AI systems. Collaboration with data scientists, software engineers, and product managers is common, offering valuable exposure to cross-functional teamwork and opportunities for skill development.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer or AI research director, often found in large tech companies or specialized firms. These roles usually require advanced skills in machine learning, deep learning, and data analysis, along with significant experience and sometimes advanced degrees. Compensation at this level includes base salary, bonuses, and stock options, reflecting the role's seniority and impact.

What does an Entry Level AI Engineer do?

An Entry Level AI Engineer assists in designing, developing, and deploying artificial intelligence models and systems under the guidance of senior engineers. Their tasks often include collecting and preprocessing data, implementing machine learning algorithms, and testing models to ensure accuracy and efficiency. They also collaborate with software developers and data scientists to integrate AI solutions into products or services, all while continuing to learn and develop their technical skills on the job.

What engineer makes $500,000 a year?

Highly experienced senior engineers in specialized fields such as software engineering, data engineering, or AI engineering can earn $500,000 or more annually, especially in top tech companies or with executive-level responsibilities. Achieving this level typically requires advanced skills, extensive experience, and often leadership roles or stock options.

What are good entry-level AI jobs?

Entry-level AI jobs include roles such as AI analyst, data analyst, machine learning engineer, and research assistant. These positions typically require foundational knowledge of programming languages like Python, familiarity with machine learning frameworks, and basic understanding of algorithms and data structures.
What are the most commonly searched types of Ai Engineer jobs in Michigan? The most popular types of Ai Engineer jobs in Michigan are:
What are popular job titles related to Entry Level Ai Engineer jobs in Michigan? For Entry Level Ai Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Engineer jobs in Michigan look for? The top searched job categories for Entry Level Ai Engineer jobs in Michigan are:
What cities in Michigan are hiring for Entry Level Ai Engineer jobs? Cities in Michigan with the most Entry Level Ai Engineer job openings:
Entry Level Ai Engineer jobs near you
Infographic showing various Entry Level Ai Engineer job openings in Michigan as of July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $60,456 per year, or $29.1 per hour.
Generative AI Researcher

Generative AI Researcher

Tata Consultancy Services

Warren, MI • On-site

Full-time

Posted 6 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

176th of 230 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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