ZipRecruiter

Log In

1

Unreal Engine Ai Programmer Jobs in Michigan (NOW HIRING)

Software People, Inc.

AI Developer

Lansing, MI · On-site

The DOC AI is a Google Cloud product that is used to scan paper marriage licenses, extract index ... SEM/SUITE compliance, and securing the applications. The resource also performs as a technical ...

NICE

$94K - $124K/yr

As Team Lead, AI Engineering in the Orchestration AI Development team, you will lead a hands-on ... engine, Models Gateway, RAG pipelines, prompt management, LLM evaluation, and developer tooling.

New

G-TECH Services

Be Seen First

Test Engineer - Engine Dynamometer

Dearborn, MI · On-site

$40 - $42/hr

Test Engineer - Engine Dynamometer Location: Dearborn, MI (Hybrid - 4 Days Onsite) Duration ... By submitting your application, you acknowledge that recruiting technologies, including AI-assisted ...

General Motors

Senior Software Engineer - C++/UI

Warren, MI · Hybrid

$115K - $151K/yr

We are looking for a strong C++ Software Engineer to support development of next-generation ... Experience with Unreal Engine or 3D display rendering. * Familiarity with CANoe, VehicleSpy, or ...

Varsity Tutors

Video Game Design Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Unreal, basic programming for games, art asset creation, and playtesting methodology. Ability to ...

Varsity Tutors

Video Game Design Tutor

Detroit, MI · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Unreal, basic programming for games, art asset creation, and playtesting methodology. Ability to ...

Varsity Tutors

Video Game Design Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Unreal, basic programming for games, art asset creation, and playtesting methodology. Ability to ...

Decisive Point

Simulation Engineer

Ann Arbor, MI · On-site

$85 - $115/hr

About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in ... Experience with Unreal Game Engine Don't meet every single requirement? If you're excited about ...

New

Applied Intuition Inc.

Simulation Engineer

Ann Arbor, MI · On-site

$110 - $160/hr

About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in ... Experience with Unreal Game Engine Don't meet every single requirement? If you're excited about ...

previous pagenext page

Showing results 21-40

All JobsUnreal Engine Ai Programmer JobsUnreal Engine Ai Programmer Jobs in Michigan

Unreal Engine Ai Programmer information

What is an Unreal Engine AI programmer?

An Unreal Engine AI Programmer is a software developer who specializes in creating and implementing artificial intelligence (AI) systems within the Unreal Engine, a popular game development platform. Their responsibilities include designing behaviors for non-player characters (NPCs), developing navigation and decision-making systems, and optimizing AI performance for games or simulations. They work closely with designers and artists to ensure AI behaves realistically and enhances the player's experience. Proficiency in C++ and familiarity with Unreal Engine's Blueprint visual scripting are typically required for this role.

What are the key skills and qualifications needed to thrive as an Unreal Engine AI programmer?

To thrive as an Unreal Engine AI Programmer, you need strong programming skills in C++, a solid understanding of artificial intelligence concepts, and experience with Unreal Engine’s Blueprint and AI systems. Familiarity with tools like Unreal Engine’s Behavior Trees, Blackboard, and navigation systems, as well as experience with version control systems, is often required. Problem-solving, creativity, and effective communication are important soft skills for collaborating with designers and other developers. These skills ensure the creation of intelligent, responsive game characters and systems, which are crucial for engaging gameplay and a seamless player experience.

How does an Unreal Engine AI programmer typically collaborate with game designers and artists during development?

As an Unreal Engine AI Programmer, you’ll work closely with game designers to understand gameplay requirements and translate them into technical AI systems, such as enemy behaviors or NPC pathfinding. Collaboration with artists is also common, especially when integrating AI-controlled characters and ensuring their animations and visual feedback align with the game’s vision. Regular meetings and cross-disciplinary communication are essential, allowing you to iterate on features and quickly address changes or challenges. This collaborative environment fosters creative solutions and ensures that AI features enhance the overall player experience.

What is the difference between Unreal Engine Ai Programmer vs Game Developer?

AspectUnreal Engine Ai ProgrammerGame Developer
Required SkillsAI algorithms, Unreal Engine, C++Game design, programming, Unreal Engine, C++/C#
Work EnvironmentGame studios, tech companies using Unreal EngineGame studios, independent developers, tech companies
Industry UsageFocus on AI systems within Unreal Engine projectsBroader game development including gameplay, UI, and systems

The Unreal Engine Ai Programmer specializes in developing AI systems within Unreal Engine, focusing on behavior trees, navigation, and AI logic. In contrast, a Game Developer has a broader role, handling various aspects of game creation such as gameplay mechanics, UI, and overall project development. While both roles require knowledge of Unreal Engine and C++, the AI Programmer concentrates on AI-specific features, whereas the Game Developer covers a wider range of development tasks.

What jobs can you get knowing Unreal Engine?

Unreal Engine knowledge can lead to roles such as Unreal Engine AI Programmer, game developer, technical artist, or environment designer. These positions often require skills in programming, 3D modeling, and understanding of game development workflows, and are common in the gaming, simulation, and virtual production industries.

What are popular job titles related to Unreal Engine Ai Programmer jobs in Michigan?

For Unreal Engine Ai Programmer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Unreal Engine Ai Programmer jobs in Michigan look for?

The top searched job categories for Unreal Engine Ai Programmer jobs in Michigan are:

What cities in Michigan are hiring for Unreal Engine Ai Programmer jobs?

Cities in Michigan with the most Unreal Engine Ai Programmer job openings:

Unreal Engine Ai Programmer jobs near you
Infographic showing various Unreal Engine Ai Programmer job openings in Michigan as of June 2026, with employment types broken down into 51% Full Time, 20% Part Time, 6% Temporary, 19% Contract, and 4% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Principle AI Engineer

Harman International Industries

Novi, MI • On-site

Full-time

Re-posted 15 days ago

Job description

A Career at HARMAN
As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you'll discover that at HARMAN you can grow, make a difference and be proud of the work you do every day.
About the Role
As the Principal AI Engineer, you will act as the technical leader for AI solution design, implementation, and operationalization across Harman's BI, AI, and Data ecosystem. Your primary focus will be defining how AI is applied at scale-ensuring solutions are robust, secure, explainable, testable, and production-ready.
You will lead the development of both prebuilt AI integrations and custom AI/ML solutions, while establishing enterprise standards for MLOps, model governance, and lifecycle management. You will ensure AI solutions are not isolated experiments, but fully integrated, scalable systems built on top of the data platform (Databricks).
What You Will Do
1. AI Strategy & Technical Leadership
  • AI Engineering Leadership:
  • Define best practices for AI solution design, deployment, and lifecycle management.
  • Use Case Prioritization:
  • Identify high-value AI opportunities and guide their technical execution.
  • Standards & Governance:
  • Establish standards for model development, validation, deployment, and monitoring.

2. AI Solution Architecture & Development
  • Define architectural patterns for:
  • Batch vs real-time inference
  • Feature engineering pipelines
  • Model reuse across use cases
  • Standardize implementation of common AI solutions:
  • Forecasting frameworks
  • Classification pipelines
  • Anomaly detection frameworks
  • NLP/document intelligence pipelines
  • Ensure solutions are modular, reusable, and scalable

3. Data & Platform Integration
  • Data Pipeline Alignment:
  • Ensure AI solutions effectively leverage enterprise data pipelines (e.g., Databricks).
  • Feature & Data Strategy:
  • Guide design of features and data structures required for high-performing models.
  • Platform Collaboration:
  • Work closely with Platform Engineers on infrastructure, compute, and scalability.

4. MLOps, CI/CD & Lifecycle Management
  • Define and enforce MLOps standards using MLflow, including:
  • Experiment tracking
  • Model versioning and registry
  • Promotion workflows (Dev → QA → Prod)
  • Co-design CI/CD pipelines with Platform Engineering:
  • Automated model testing
  • Validation gates before deployment
  • Environment consistency across stages
  • Establish deployment patterns:
  • Batch scoring pipelines
  • Scheduled retraining jobs
  • Model serving endpoints where needed

5. Testing, Validation & Trust
  • Define testing frameworks covering:
  • Model performance validation
  • Data validation and schema enforcement
  • Backtesting (especially for forecasting)
  • Establish standards for:
  • Drift detection (data + model)
  • Monitoring and alerting
  • Drive adoption of:
  • Explainability techniques (SHAP, feature importance)
  • Business-level validation (not just statistical metrics)

6. Security, Governance & Responsible AI
  • Define model governance standards:
  • Model approval workflows
  • Version control and rollback strategies
  • Auditability via MLflow and logging
  • Ensure:
  • Data access controls and compliance
  • Traceability from raw data → features → models → outputs
  • Drive responsible AI practices:
  • Bias detection and mitigation
  • Transparency and explainability where required

7. Cross-Functional Leadership & Mentorship
  • Technical Mentorship:
  • Guide AI Engineers and support broader team development.
  • Collaboration:
  • Align AI initiatives with Data Engineering, BI, and Platform strategies.
  • Stakeholder Engagement:
  • Translate complex AI solutions into business value and ensure adoption.

8. Innovation & Continuous Improvement
  • Technology Evaluation:
  • Continuously assess emerging AI tools, frameworks, and capabilities.
  • AI Platform Evolution:
  • Drive improvements in AI tooling, workflows, and scalability.
  • Automation & Efficiency:
  • Promote automation and reusable AI components.

What Success Looks Like
  • AI solutions are scalable, production-ready, and reusable across use cases
  • Models are governed, traceable, and continuously monitored
  • MLOps processes (MLflow, CI/CD) are standardized and widely adopted
  • AI solutions are deeply integrated into data pipelines and business workflows
  • The organization consistently delivers reliable, trusted AI at scale-not experiments

What You Need to Be Successful
  • Expert-level Python and deep experience with ML/AI frameworks
  • Strong hands-on experience with MLflow (tracking, registry, lifecycle management)
  • Deep experience building and deploying production-grade AI/ML systems on Databricks
  • Strong experience with MLOps, CI/CD pipelines, and model lifecycle governance
  • Experience standardizing AI patterns (forecasting, NLP, anomaly detection, classification)
  • Strong understanding of data pipelines and feature engineering dependencies
  • Experience with model monitoring, drift detection, and explainability techniques (e.g., SHAP)
  • Strong understanding of AI security, governance, and auditability requirements
  • Proven ability to define standards and lead technical direction across teams
  • 7+ years of experience in software engineering, data engineering, AI/ML engineering, or related technical fields
  • 3+ years designing and deploying production AI/ML systems at enterprise scale
  • Experience leading technical strategy and architecture across multiple teams or business domains
  • Experience designing and deploying Generative AI solutions using LLMs
  • Experience with Retrieval-Augmented Generation (RAG), vector search, embeddings, and prompt engineering

Bonus Points if You Have
  • Experience implementing Generative AI solutions using OpenAI, Anthropic, Gemini, or similar foundation models
  • Experience building enterprise RAG architectures, vector databases, semantic search, and agent-based AI solutions
  • Experience with Databricks Mosaic AI, Vector Search, Model Serving, Unity Catalog, and Lakehouse AI capabilities
  • Experience with cloud AI services on Azure, AWS, or Google Cloud Platform
  • Experience deploying and operating AI workloads using Kubernetes and containerized architectures
  • Experience with feature stores, online/offline feature serving, and real-time inference systems
  • Experience implementing Responsible AI frameworks, model risk management, and regulatory compliance requirements
  • Experience with experimentation platforms, A/B testing, and causal inference methodologies
  • Familiarity with modern deep learning frameworks including PyTorch, TensorFlow, and Hugging Face ecosystems
  • Experience supporting forecasting, optimization, recommendation systems, supply chain analytics, or manufacturing AI use cases
  • Experience contributing to AI platform strategy and enterprise-wide AI transformation initiatives
  • Advanced degree (MS or PhD) in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Mathematics, or a related field

Salary Ranges:
$ 125,250 - $ 183,700
HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Apply