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Artificial Intelligence Ai Engineer Jobs (NOW HIRING)

SAIC

Artificial Intelligence (AI) SETA

Chantilly, VA

$200K - $240K/yr

Engineering and Sciences Subcategory: Sys Integration Schedule: Full-Time Shift: Day Job Travel: No ... ORA_ON_SITE Description The Customer's Artificial Intelligence (AI) Research Team Systems ...

SAIC

Artificial Intelligence (AI) SETA

Chantilly, VA · On-site

$200K - $240K/yr

Description The Customer's Artificial Intelligence (AI) Research Team Systems Engineering and Technical Assistant (SETA) role is a full-time position central to the coordination and smooth daily ...

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How much do artificial intelligence ai engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for artificial intelligence ai engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What are some common challenges AI engineers face when deploying machine learning models to production environments?

AI Engineers often encounter challenges when moving models from development to production, such as data drift, scalability issues, and model monitoring. Ensuring that models perform well on real-world data, keeping them up-to-date with changing inputs, and integrating them seamlessly with existing systems are key hurdles. Collaborating closely with data engineers, software developers, and product teams is crucial to address these challenges and maintain robust, reliable AI solutions.

What is the difference between Artificial Intelligence Ai Engineer vs Data Scientist?

AspectArtificial Intelligence Ai EngineerData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; programming skills in Python, Java; knowledge of ML frameworksBachelor's or master's in CS, statistics, or related fields; strong programming skills; expertise in statistical analysis
Work EnvironmentDevelops AI models, algorithms, and systems; collaborates with software teamsAnalyzes data, builds predictive models, interprets data insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles require programming and analytical skills, Artificial Intelligence Ai Engineers focus on designing and implementing AI systems and algorithms, whereas Data Scientists analyze data to extract insights and build predictive models. AI Engineers are more involved in developing AI solutions, while Data Scientists interpret data to inform business decisions.

What are the key skills and qualifications needed to thrive as an artificial intelligence AI engineer?

To thrive as an Artificial Intelligence (AI) Engineer, you need strong programming skills (especially in Python or Java), a deep understanding of machine learning algorithms, and a background in computer science or related fields, often with at least a bachelor's degree. Experience with frameworks like TensorFlow, PyTorch, and knowledge of cloud platforms or relevant certifications are highly valuable. Critical thinking, problem-solving abilities, and effective communication help AI Engineers collaborate and innovate in multidisciplinary teams. These skills are crucial for developing, deploying, and optimizing AI solutions that address complex business and technical challenges.

What is an artificial intelligence AI engineer?

Artificial Intelligence (AI) Engineers are professionals who design, develop, and implement AI models and systems to solve complex problems. They use techniques from machine learning, deep learning, and data science to create intelligent applications that can analyze data, recognize patterns, and make decisions. AI Engineers work across various industries, including healthcare, finance, and technology, to build solutions such as chatbots, recommendation systems, and autonomous vehicles. Their role often involves programming, data analysis, and collaborating with other teams to ensure AI systems are effective and ethical.
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Artificial Intelligence Ai Engineer jobs near you
Infographic showing various Artificial Intelligence Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

Artificial Intelligence (AI) Engineer, Video Analytics, Onsite in Charlotte, NC

Ginas Tech Jobs

Charlotte, NC

Full-time

Medical, Dental, Vision, PTO

Re-posted 20 hours ago

Job description

Job Description

Artificial Intelligence (AI) Engineer, Video Analytics, Onsite in Charlotte, NC

The Artificial Intelligence (AI) Engineer, Video Analytics will work with a team that builds GPUaccelerated video analytics for realtime safety monitoring across large fleets and industrial environments.  The system processes highvolume video streams, runs YOLObased detection models, performs temporal tracking and smoothing to reduce false positives, and identifies actionable safety violations.  Inference results are published to downstream APIs and integrated with Azure Event Hub, Blob Storage, and cloud monitoring systems.  If you enjoy pushing GPU performance limits, crafting resilient Machine Learning (ML) pipelines, and building realworld safety applications that make an impact, you will fit right in.  This position is 100% Onsite in Charlotte, NC.

Artificial Intelligence (AI) Engineer Responsibilities:

- Develop and optimize GPUaccelerated video inference pipelines, including batching, stride control, and throughput tuning.

- Implement, evaluate, and improve object detection models (YOLO or similar) and build temporal smoothing/tracking logic for safety event detection.

- Optimize model performance using TensorRT, ONNX, CUDA, and GPU profiling tools to maximize throughput and minimize latency/VRAM usage.

- Build and maintain integrations with event-driven APIs, Azure Event Hub, Blob Storage, and internal services.

- Add robust metrics, logging, telemetry, and fail-safe mechanisms for resilient inference jobs.

- Collaborate on dataset curation, labeling, model training, validation, and experiment tracking.

- Support containerized deployments (Docker) and assist with monitoring and scaling production workloads.

Qualifications

Artificial Intelligence (AI) Engineer Qualifications:

- 3+ years of experience shipping computer vision or machine learning systems to production.

- Strong proficiency in Python and experience with OpenCV, PyTorch, async I/O frameworks, and API integrations.

- Hands-on experience with YOLO/Ultralytics or similar object detection frameworks.

- Solid understanding of video processing fundamentals: frame sampling, temporal filtering, confidence thresholds, and multi-camera aggregation.

- Experience optimizing GPU inference performance batching, stride, TensorRT, CUDA, model quantization, and throughput tuning.

- Experience with Azure Event Hub, Blob Storage, Application Insights, or similar cloud messaging/storage platforms is a plus.

- Familiarity with Docker, cloud deployments, and production monitoring systems is a plus.

- Experience in temporal/sequence analysis for event detection is a plus.

- Background in video analytics for safety, compliance, or industrial/transportation environments is a plus.

- Tech Stack:  aiohttp, Application Insights, asyncio, Azure Blob Storage, Azure Event Hub, CUDA, Docker, gRPC, ML - Machine Learning, ONNX, OpenCV, Python, PyTorch, RESTful APIs, Telemetry Tools, TensorRT, and Ultralytics YOLO.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  Charlotte NC Jobs, Artificial Intelligence (AI) Engineer, aiohttp, Application Insights, asyncio, Azure Blob Storage, Azure Event Hub, CUDA, Docker, gRPC, ML, Machine Learning, ONNX, OpenCV, Python, PyTorch, RESTful APIs, Telemetry Tools, TensorRT, and Ultralytics YOLO, Video Analytics, North Carolina Recruiters, IT Jobs, North Carolina Recruiting

Looking to hire an Artificial Intelligence (AI) Engineer, Video Analytics in Charlotte, NC or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Artificial Intelligence (AI) Engineers, Video Analytics for jobs in Charlotte, North Carolina and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!

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