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Ai Coder Jobs in Warren, MI (NOW HIRING)

Stellantis

AI Coding Product Leader

Auburn Hills, MI · On-site

Stellantis is a global automotive company seeking an AI Coding Product Leader to define the vision, strategy, and roadmap for coding agent capabilities within their software engineering ecosystem.

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 ...

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 ...

Max AI, Inc.

AI Engineer

Birmingham, MI · On-site

$150K - $250K/yr

Max AI - Stripe for Healthcare Max AI is the World's first human-free, fully-autonomous medical ... Medical doctors who code are rare. We have the best one in the world. His previous apps have driven ...

Max AI, Inc.

AI Engineer

Birmingham, MI · On-site

$150K - $250K/yr

Max AI - Stripe for Healthcare Max AI is the World's first human-free, fully-autonomous medical ... Medical doctors who code are rare. We have the best one in the world. His previous apps have driven ...

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All JobsAi Coder JobsAi Coder Jobs in Warren, MI

Ai Coder information

See Warren, MI salary details

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How much do ai coder jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for ai coder in Warren, MI is $25.82, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $32.50 per hour, depending on experience, location, and employer.

What is an AI coder?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

What types of projects do AI coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

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

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

How do you become an AI coder?

To become an AI coder, you typically need a strong foundation in programming languages such as Python or Java, along with knowledge of machine learning frameworks like TensorFlow or PyTorch. Earning a degree in computer science, data science, or a related field and gaining experience through projects or internships are common steps. Developing skills in algorithms, data structures, and mathematics is also essential for working effectively in AI development.

How much do AI coders make?

AI coders, also known as artificial intelligence programmers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially in tech hubs or large companies.

What job categories do people searching Ai Coder jobs in Warren, MI look for?

The top searched job categories for Ai Coder jobs in Warren, MI are:

What cities near Warren, MI are hiring for Ai Coder jobs?

Cities near Warren, MI with the most Ai Coder job openings:

Ai Coder jobs near you
Infographic showing various Ai Coder job openings in Warren, MI as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 5% Hybrid, and 32% Remote job distribution, with an average salary of $53,707 per year, or $25.8 per hour.

AI Coding Product Leader

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 18 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 45 rated automakers

Job description

Job Summary:
Stellantis is a global automotive company seeking an AI Coding Product Leader to define the vision, strategy, and roadmap for coding agent capabilities within their software engineering ecosystem. This role involves overseeing the development of platforms aimed at enhancing developer productivity and software quality, while leading cross-functional teams and managing external partnerships.
Responsibilities:
• 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.
• 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.
• 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.
• 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.
Qualifications:
Required:
• 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.
• 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.
• 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.
• 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.
• 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.
• 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:
• 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.
Company:
Stellantis is an Franco-Italian-American automotive holding company that manufactures automobiles. Founded in 2021, the company is headquartered in Hoofddorp, NLD, with a team of 10001+ employees. The company is currently Late Stage.

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