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Ai Coder Jobs in Detroit, MI (NOW HIRING)

AI Engineer

Birmingham, MI · On-site

$150 - $250/hr

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 ...

Commodity Senior Engineer

Dearborn, MI

$112K - $148K/yr

Use AI coding assistants and generative AI tools to accelerate software development, refactoring, debugging, documentation, and code reviews. * Cloud-Native Engineering: Architect and implement ...

AI Engineer

Detroit, MI · On-site

$50/hr

... as-code practices, and secure software development standards. 9. Document architecture, technical designs, implementation details, and operational procedures. 10. Participate in code reviews ...

Showing results 21-40

Ai Coder information

See Detroit, MI salary details

$15

$27

$43

How much do ai coder jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ai coder in Detroit, MI is $27.22, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $34.28 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 are popular job titles related to Ai Coder jobs in Detroit, MI?

For Ai Coder jobs in Detroit, MI, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Ai Coder job openings in Detroit, MI as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $56,608 per year, or $27.2 per hour.

Senior Software Engineer - DevOps & Platform, AI Systems

Ford Motor Company

Allen Park, MI • On-site

$118K - $152K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 2 days ago


Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers


Job description


Who You Are
A software engineer who chose infrastructure. You write real code - not just glue scripts. You'd be dangerous on a product team, but you'd rather build the systems that make every product team faster. Platforms, not tickets.
An agent orchestrator, not a typist. You don't want to be a faster keyboard. You manage agents to do the heavy lifting - generating IaC, triaging alerts, writing the first draft of the runbook - while you keep your hands on the architecture and the judgment calls. The terminal is a cockpit for orchestration.
Productively lazy. Your instinct is to eliminate toil at the root. If a human is clicking through a console or babysitting a deploy, you replace them with code or an agent. Your biggest bottleneck should be deciding what to automate next - while the automation runs itself.
Fundamentals first. Linux, networking, distributed systems, how things actually fail under load. You understand the machine, not just the tool that wraps it. When the pipeline breaks at 2am, you can read the trace and fix the cause - and when an agent proposes a fix, you can tell whether it's right.
First-principles thinker with vision. You design for the failure mode, not the happy path. You question the assumptions, simplify the system, and build for the next order of magnitude - not just today's load.
High agency. You don't wait for perfect specs or permission. You find a path, propose it, and move. Large organizations have walls; you figure out which ones to go through, around, or remove - and you do it constructively.
Responsibilities
What You'll Do
  • Build the platform. Design and operate the cloud-native foundation on GCP - compute, networking, observability, and the golden paths other teams build on.

  • Automate everything that shouldn't be manual. Infrastructure-as-code, self-service pipelines, auto-remediation. If a human repeats it, you write the code - or point an agent at it - to stop it.

  • Orchestrate agents for ops. Use AI to draft IaC, generate tests, triage incidents, and summarize signal from noise. You direct, review, and harden - agents do the grunt work.

  • Own CI/CD end to end. Fast, reliable, reproducible delivery. Build the pipelines that let engineers ship multiple times a day with confidence.

  • Engineer reliability in. SLOs, monitoring, alerting that means something, and incident response that gets calmer every quarter. Make on-call boring.

  • Secure the path. Bake security and compliance into the platform so doing the right thing is the easy thing - secrets management, least privilege, supply-chain hygiene.

  • Support AI workloads. Build the infrastructure that runs LLM and agentic systems in production - scaling, cost control, and the deployment patterns AI apps actually need.

Qualifications
What You Bring
  • A real programming language, deep - Python and/or Go preferred. You write production code, not just YAML.

  • GCP - Cloud Run, GKE, Cloud Functions, networking, IAM. Designed, deployed, and operated at scale.

  • IaC & CI/CD - Terraform, Cloud Build, GitHub Actions, or equivalent. Reproducible, version-controlled, peer-reviewed infrastructure.

  • Containers & orchestration - Docker and Kubernetes in production, including the parts that break.

  • Observability - metrics, logs, tracing. You can find the needle, not just collect haystacks.

  • AI-assisted development - fluent with modern AI coding tools and agent workflows, and clear-eyed about where they help and where they don't.

  • AI workload experience - bonus for running LLM/agentic systems, GPUs, or model-serving infrastructure in production.

  • Reliability & security fundamentals - SLOs, incident response, and security-by-default in pipelines.

Requirements
  • BS in Computer Science, Electrical Engineering, or a related field. MS is a plus, not a substitute for shipping software.

  • 3+ years in DevOps, SRE, or platform engineering - with real software engineering, not just configuration.

  • 2+ years on cloud-native platforms (GCP preferred), operating production systems.

  • Demonstrable automation you've built - show us the toil you killed, not the tools you've read about.

Why This Role
Ford is a 120-year-old company moving fast on AI, and that's the real challenge: building a world-class platform inside a large enterprise with real constraints - security, compliance, legacy systems. The engineers who thrive here treat those constraints as problems to solve, not reasons to stop. If you want a place where everything is already automated, this isn't it - you'll build that. If you're a 10x thinker who wants every other engineer to move faster because of what you built - and you have the grit to push through the hard parts - let's talk.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here: https://fordcareers.co/GSR
This position ranges from salary grade 7-8 and ranges from $97,140-$192,900.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
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