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Ai Coding Jobs in Michigan (NOW HIRING)

Stellantis

AI Coding Product Leader

Auburn Hills, MI · On-site

The AI Coding Product Leader defines the vision, strategy, and roadmap for coding agent capabilities across the Stellantis software engineering ecosystem. This role oversees platforms and agentic ...

Varsity Tutors

Vibe Coding Tutor

Detroit, MI · Remote

$18 - $40/hr

... Vibe Coding tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Vibe Coding Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

... Vibe Coding tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Vibe Coding Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

... Vibe Coding tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

TECH Tammina

Sr Full Stack Java Developer

Okemos, MI · On-site

$47.75 - $61.75/hr

Hands-on experience using AI coding assistants (e.g., GitHub Copilot) for code generation, debugging, and optimization Ability to effectively write, refine, and iterate prompts to guide AI tools for ...

Tech Tammina

Sr Full Stack Java Developer

Okemos, MI · On-site

$47.50 - $61.25/hr

In-Person Required Must Have Technical Skills: • Hands-on experience using AI coding assistants (e.g., GitHub Copilot) for code generation, debugging, and optimization • Ability to effectively ...

Tech Tammina

Sr Full Stack Java Developer

Okemos, MI · On-site

$47.75 - $61.75/hr

In-Person Required Must Have Technical Skills: • Hands-on experience using AI coding assistants (e.g., GitHub Copilot) for code generation, debugging, and optimization • Ability to effectively ...

Tech Tammina LLC

Sr Full Stack Java Developer

Okemos, MI · On-site

$47.50 - $61.25/hr

In-Person Required Must Have Technical Skills: • Hands-on experience using AI coding assistants (e.g., GitHub Copilot) for code generation, debugging, and optimization • Ability to effectively ...

Belle, LLC

Product Engineer

Detroit, MI · Remote

Use AI coding tools aggressively to move fast and raise your output and quality * Build internal tools, automations, and integrations that make our operations more efficient * Dig into product and ...

Tata Consultancy Service Limited

Engineer

Lake City, MI · On-site

$130K - $160K/yr

Role Summary The AI Software Engineering Lead is a hands-on practitioner responsible for launching and stabilizing a small pilot using Cursor IDE and Claude Code to improve software engineering ...

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How much do ai coding jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for ai coding in Michigan is $28.78, according to ZipRecruiter salary data. Most workers in this role earn between $21.78 and $34.76 per hour, depending on experience, location, and employer.

Is coding a good career with AI?

Coding is a strong foundation for a career in AI, as it involves developing algorithms, models, and software solutions. Skills in programming languages like Python, machine learning frameworks, and data analysis are highly valued in AI roles, which are expected to grow as AI technology advances. Continuous learning and staying updated with new tools are important for success in this field.

How much does AI coding pay?

AI coding jobs typically offer salaries ranging from $80,000 to over $150,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced AI developers with expertise in machine learning and deep learning can earn higher salaries, especially in tech hubs or with specialized certifications.

What is an AI Coding job?

An AI Coding job involves developing, training, and optimizing artificial intelligence models and algorithms. Professionals in this role typically work with machine learning, deep learning, and data processing to create AI-driven applications. They use programming languages like Python and frameworks such as TensorFlow or PyTorch to build intelligent systems. AI coders may also fine-tune models, improve efficiency, and deploy AI solutions for various industries.

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

To thrive in an AI Coding role, a strong background in computer science, programming languages (such as Python or Java), and machine learning fundamentals is essential. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and relevant certifications (such as TensorFlow Developer Certificate) is highly valuable. Strong analytical thinking, creativity, and effective teamwork are important soft skills for excelling in this position. These skills ensure you can develop robust AI solutions, adapt to evolving technologies, and collaborate effectively with cross-functional teams.

How much do AI coders earn?

AI coders, also known as AI software developers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in machine learning, deep learning, and relevant programming languages like Python or TensorFlow tend to command higher salaries.

What are the typical daily responsibilities for someone working in AI Coding?

Professionals in AI Coding typically spend their days designing, writing, and debugging code for machine learning models or AI-driven applications. They often collaborate with data scientists, product managers, and engineers to define project requirements, process data, and integrate AI solutions into existing systems. Regular tasks may include training and testing models, improving algorithm performance, and documenting code or processes. You’ll also likely participate in team meetings and code reviews to ensure alignment and maintain high-quality standards. This dynamic environment provides continuous opportunities to learn and innovate within the field of artificial intelligence.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior AI researcher, machine learning director, or AI architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and expertise in tools like Python, TensorFlow, or PyTorch, and may require relevant certifications or advanced degrees.
What are the most commonly searched types of Ai Coding jobs in Michigan? The most popular types of Ai Coding jobs in Michigan are:
What are popular job titles related to Ai Coding jobs in Michigan? For Ai Coding jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ai Coding jobs in Michigan look for? The top searched job categories for Ai Coding jobs in Michigan are:
What cities in Michigan are hiring for Ai Coding jobs? Cities in Michigan with the most Ai Coding job openings:
Ai Coding jobs near you
Infographic showing various Ai Coding job openings in Michigan as of July 2026, with employment types broken down into 46% Full Time, 33% Part Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $59,864 per year, or $28.8 per hour.
AI Coding Product Leader

AI Coding Product Leader

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 2 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 126 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

The AI Coding Product Leader defines the vision, strategy, and roadmap for coding agent capabilities across the Stellantis software engineering ecosystem. This role oversees platforms and agentic development capabilities designed to improve developer productivity, strengthen software quality, and increase overall engineering effectiveness.
Role Accountabilities
  • Strategy and roadmap
  • Define and communicate a clear vision, strategy, and multi-year roadmap for coding agent capabilities aligned with Stellantis software engineering, AI, and digital transformation priorities.
  • Set platform direction and prioritize investments based on business value, developer productivity, software quality, scalability, risk, and enterprise needs.
  • Platform delivery and adoption
  • Lead the evaluation, rollout, and continuous improvement of solutions such as GitHub Copilot, Claude Code, Codex, OpenCode, and related agentic coding capabilities.
  • Translate strategic priorities into clear epics, target outcomes, adoption plans, and delivery roadmaps for internal teams and external partners.
  • Establish the operating model for coding agents, including onboarding, enablement, usage policies, support, and collaboration across engineering communities.
  • Team and partner leadership
  • Build, grow, and organize the team and ecosystem required to support the coding agent strategy, including internal capabilities, ways of working, and regional coordination.
  • Coordinate external suppliers and strategic partners to ensure delivery quality, cost control, alignment with Stellantis standards, and execution against roadmap commitments.
  • Performance and governance
  • Define and track KPIs such as adoption, active usage, productivity uplift, cycle-time reduction, code quality improvement, and measurable engineering and business impact.
  • Work closely with engineering leaders, enterprise architecture, cybersecurity, legal, procurement, finance, and operations teams to ensure consistent execution and governance.
  • Ensure coding agent capabilities are deployed responsibly, with guardrails for security, compliance, privacy, intellectual property protection, and enterprise risk management.

Profile
  • Leadership and delivery
  • Strong experience in platform leadership, software engineering, developer tooling, or engineering transformation.
  • Proven ability to lead cross-functional teams and drive adoption in a complex global organization.
  • Technical and functional understanding
  • Solid understanding of coding agents, AI-assisted software engineering, developer workflows, DevOps practices, and enterprise delivery models.
  • Stakeholder and governance skills
  • Strong stakeholder management, communication, execution, and governance capabilities.

Success Measures
  • Strategic alignment
  • A clear and credible coding agent strategy and roadmap are established and supported by key Stellantis stakeholders.
  • Adoption and scale
  • Coding agent capabilities are adopted at scale across software engineering teams and regions.
  • The team and operating model are structured to sustain the strategy and execution model over time.
  • Execution quality
  • Suppliers and partners deliver effectively against objectives, with strong alignment to quality, cost, timelines, and enterprise standards.
  • Value and trust
  • The value delivered by coding agents is visible through well-defined KPIs, regular tracking, and demonstrated engineering and business outcomes.
  • Coding agent capabilities are trusted, secure, and aligned with enterprise governance requirements.

Core Qualifications
  • Bachelor's or Master's degree in Computer Science, Software Engineering, AI, Data Science, or related field.
  • Minimum 8 years of experience in software engineering, platform engineering, DevOps, AI/ML, or developer tooling.
  • Minimum 3 years of experience with AI-assisted development, coding agents, LLM-based systems, or developer productivity platforms.
  • Proven experience leading technical teams, platforms, or AI transformation initiatives.
  • Experience working in complex global organizations with multiple engineering teams, regions, and stakeholders.

Technical Skills
  • Strong understanding of large language models, generative AI, coding agents, and AI-assisted software engineering.
  • Hands-on or functional experience with tools such as GitHub Copilot, Claude Code, Codex, OpenCode, or similar.
  • Good understanding of SDLC, DevOps practices, CI/CD, testing, code quality, and modern software architectures.
  • Experience evaluating, deploying, or managing AI coding tools and agentic development capabilities.
  • Familiarity with prompt engineering, agent workflows, orchestration frameworks, RAG, embeddings, and AI-enabled development environments.
  • Ability to assess AI coding solutions based on productivity, quality, scalability, security, integration, cost, and enterprise readiness.

Leadership & Strategy
  • Define and execute the vision, strategy, and roadmap for coding agent capabilities across the software engineering ecosystem.
  • Set platform direction and prioritize investments based on business value, developer productivity, software quality, scalability, cost, and risk.
  • Lead the evaluation, rollout, adoption, and continuous improvement of AI coding solutions.
  • Translate strategic priorities into clear epics, outcomes, adoption plans, and delivery roadmaps.
  • Build and structure the team, operating model, and partner ecosystem required to scale coding agent capabilities.
  • Drive adoption across engineering communities through onboarding, enablement, communication, and change management.

AI & Automation Expertise
  • Deep understanding of AI-assisted coding workflows, coding agent design patterns, prompt engineering, and code generation optimization.
  • Experience implementing AI-driven productivity improvements across development, testing, documentation, code review, and automation workflows.
  • Ability to define validation practices for AI-generated code, including testing, quality gates, security checks, and human review.
  • Understanding of how coding agents integrate with enterprise platforms such as GitHub, CI/CD, artifact repositories, security tools, and developer portals.

Business & Collaboration Skills
  • Strong ability to translate business and engineering problems into AI-enabled software development solutions.
  • Experience building ROI-driven business cases for AI adoption, including productivity uplift, cycle-time reduction, quality improvement, and cost optimization.
  • Ability to partner with engineering, product, cybersecurity, legal, procurement, finance, operations, and enterprise architecture teams.
  • Excellent communication skills for both technical and non-technical audiences, including executive stakeholders.
  • Experience coordinating external suppliers and strategic partners to ensure delivery quality, cost control, and alignment with enterprise standards.

Governance & Risk Management
  • Ability to balance innovation with risk, governance, scalability, cybersecurity, compliance, and enterprise constraints.
  • Understanding of responsible AI, data privacy, intellectual property protection, and security considerations related to AI-generated code.
  • Experience implementing guardrails for AI-assisted development, including usage policies, security controls, auditability, and compliance requirements.
  • Ability to define governance models for coding agents, including onboarding, support, approved tools, monitoring, and escalation processes.

Preferred / Nice-to-Have
  • Experience with enterprise-scale AI transformation initiatives.
  • Background in DevOps, platform engineering, cloud engineering, MLOps, or developer experience.
  • Knowledge of vector databases, RAG, embeddings, agent frameworks, orchestration frameworks, and AI gateway patterns.
  • Experience leading an AI Center of Excellence, developer productivity team, platform team, or engineering transformation initiative.
  • Experience with GitHub Enterprise, CI/CD platforms, artifact management, testing automation, software quality platforms, or internal developer platforms.

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