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Artificial Intelligence Developer Jobs (NOW HIRING)

Lead Artificial Intelligence Engineer

Las Vegas, NV ยท On-site

$99K - $130K/yr

Description Position Summary The Lead Artificial Intelligence Engineer develops and produces AI and machine learning solutions supporting banking and credit card businesses. This role focuses on ...

Artificial Intelligence (AI) Engineer

Boston, MA ยท On-site

$105K - $144K/yr

About the Role The Artificial Intelligence Engineer is responsible for developing and implementing ... SCRUM and DevOps practices and tools like GitHub, Azure DevOps or other such tools and ...

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Artificial Intelligence Developer information

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$31.5K

$121.3K

$185.5K

How much do artificial intelligence developer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for artificial intelligence developer in the United States is $121,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $154,000.00 per year, depending on experience, location, and employer.

What do you do as an AI developer?

An AI developer designs, develops, and implements artificial intelligence models and algorithms to solve specific problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow, often collaborating with data scientists and engineers to deploy AI solutions in various applications.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a highly senior or specialized role such as an AI research director, chief AI officer, or senior machine learning executive, often in large tech companies or startups. These positions usually require extensive experience, advanced skills in machine learning, deep learning, and data science, and may include leadership responsibilities and equity components.

How much does an AI developer get paid?

AI developers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, or specific tools like TensorFlow or PyTorch can command higher salaries. Entry-level positions generally start around $80,000 per year.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Developer, and why are they important?

To thrive as an Artificial Intelligence Developer, you need a solid background in computer science, mathematics, and programming languages such as Python, along with experience in machine learning and data analysis. Familiarity with frameworks and tools like TensorFlow, PyTorch, and cloud computing platforms, as well as relevant certifications, is often required. Strong problem-solving abilities, creativity, and effective teamwork are vital soft skills for excelling in this field. These skills and qualities are crucial because they enable the development of innovative AI solutions that address complex real-world challenges efficiently and collaboratively.

What are some common challenges faced by Artificial Intelligence Developers when deploying machine learning models into production environments?

Artificial Intelligence Developers often encounter challenges when moving machine learning models from development to production, such as managing data pipeline integration, ensuring model scalability, and monitoring model performance over time. Addressing issues like data drift, ensuring reproducibility, and meeting latency requirements for real-time applications can also be complex. Collaboration with data engineers, DevOps teams, and business stakeholders is crucial to ensure a smooth deployment process and ongoing model maintenance. By proactively planning for these challenges, AI Developers can help deliver reliable and effective AI solutions.

What are Artificial Intelligence Developers?

Artificial Intelligence Developers are professionals who design, build, and implement AI-powered systems and applications. They use programming languages like Python, R, or Java, and work with machine learning frameworks to create algorithms capable of learning from data. Their responsibilities include developing AI models, testing and deploying solutions, and ensuring that AI systems perform accurately and efficiently. AI Developers often collaborate with data scientists, engineers, and business stakeholders to integrate AI technologies into products and services.

What is the difference between Artificial Intelligence Developer vs Data Scientist?

AspectArtificial Intelligence DeveloperData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; programming skills in Python, JavaBachelor's or master's in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&D labsAnalyzes data, builds models, and provides insights; in tech, finance, healthcare sectors
Employer & Industry UsageUsed by tech firms, startups, research institutions focusing on AI solutionsUsed across industries for data analysis, predictive modeling, and decision support

While both roles require programming and a strong understanding of data, Artificial Intelligence Developers focus on creating AI systems and algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. Both roles often collaborate but serve different primary functions within tech and data-driven organizations.

Which 3 jobs will survive AI?

Artificial Intelligence Developers are likely to continue thriving as they design, implement, and improve AI systems, requiring skills in programming, machine learning, and data analysis. Other resilient roles include healthcare professionals, such as doctors and nurses, who rely on human judgment and empathy, and skilled tradespeople like electricians and plumbers, whose work depends on physical skills and on-site problem solving. These jobs involve complex human interaction or physical tasks that AI cannot easily replicate.
More about Artificial Intelligence Developer jobs
What cities are hiring for Artificial Intelligence Developer jobs? Cities with the most Artificial Intelligence Developer job openings:
What are the most commonly searched types of Artificial Intelligence Developer jobs? The most popular types of Artificial Intelligence Developer jobs are:
What states have the most Artificial Intelligence Developer jobs? States with the most job openings for Artificial Intelligence Developer jobs include:
Infographic showing various Artificial Intelligence Developer job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 1% Part Time, and 8% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $121,322 per year, or $58.3 per hour.
Senior Artificial Intelligence Engineer

Senior Artificial Intelligence Engineer

Flexion Inc

Madison, WI โ€ข Remote

$200K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

Why you want to work at Flexion:

Weโ€™re looking for a Senior Artificial Intelligence Engineer to help mature Flexionโ€™s AI application development capabilities. Flexion is committed to providing top-tier AI application development services and is looking for an Artificial Intelligence Engineer to help us advance our capabilities. Most of the work we do is on large-scale, enterprise-wide systems (both commercial and government).

At Flexion (an agile software company thatโ€™s been delivering excellence for over 25 years), our company culture is built on autonomy, trust, and transparency. We empower teams to remain self-sufficient and self-directed by hiring people who can solve complex problems through collaborationโ€”this means lending a hand and flexing your multi-skilled muscles (research, content, business analysis, information architecture, etc.) as needed. Every member within a cross-functional team is a leader who takes responsibility for the entire teamโ€™s success, which mirrors the companyโ€™s overall low bureaucracy structure.

What the job looks like:

Youโ€™ll be responsible for building AI applications and helping create AI application capability within Flexion. The project work is primarily remote but may require some client on-site work estimated at <10%.

  • Lead AI application architectural design activities, particularly in the domain of Generative AI.
  • Lead AI application implementation and operations activities.
  • Help Flexion develop or adopt learnable AI development and deployment patterns, and avoid common pitfalls.
  • Coach other engineers in AI application development and operations.
  • Potentially fill roles adjacent to AI application development, if needed.
Why we want to hire you:

You can design incrementally, while still thinking about how they fit into the whole. You welcome change as a positive thing (instead of viewing it as โ€œreworkโ€) and never look at anything you deliver as โ€œfinal.โ€ You understand when โ€œgood enoughโ€ really IS good enough, without ever compromising on the overall product quality.

You have:

  • At least 10 years building and operationalizing AI/ML powered applications.
  • At least 5 years experience working in an agile environment.
  • A bachelor's degree or commensurate experience.
  • Knowledge of lean and agile methodologies to deliver a quality product with minimal churn.
  • Strong communication and coaching skills.
  • Experience teaching and mentoring folks less seasoned with AI tools
  • Production-level experience with the entire ML Lifecycle including training, fine tuning, deploying, monitoring, and retraining
  • Production-level experience using and managing ML Lifecycle tooling including experiment trackers, model registry, feature stores, vector databases and deployment services
  • Production-level experience with scaling services including containerization, container orchestration, load testing, autoscaling, and monitoring
  • Production-level experience with scaling AI and ML specific services including the use of quantization, pruning, distributed computing on accelerated infrastructure, model compilation techniques, and inference graphs
  • Production-level experience with AI cloud deployment strategies and technologies
  • Production-level experience with selecting foundation or pre-trained models and finetuning them for specific use cases
  • Production-level experience with optimizing models and inference pipelines
  • Experience seeking out and exploring new potential opportunities to help partners advance their journey to, and into the use of AI
At Flexion, we live by these principles:
  • Speak openly and honestly with your colleagues and clients about problems and proposed solutions
  • Welcome and handle changing requirements and priorities with little or no warning
  • Collaborate online in small groups about 50% of the time
  • Encourage simple and minimal solutions that keep options open
  • Expect and vocally advocate for quality first
  • Learn new practices and techniques as the situation demands
  • Ensure the teams develop demonstrable software every week or two
  • Do what needs to be done to deliver the product or project without ego or attitude
  • Dig deep to find the root causes of problems so we can create the right solutions
  • Relentlessly improve yourself, your team, and your processes

The salary for this position is in the $200,000-$250,000 range annually.

The most efficient way to reach our recruiting team is to submit your resume through the URL provided.

Equal Employment Opportunity/Affirmative Action Employer

If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 608-205-8868 for assistance.

Benefits

At Flexion, employees enjoy comprehensive health, dental, and vision coverage, along with life and disability insurance, flexible spending accounts, and a 401(k) plan. Our people-first culture supports balance and growth with generous paid time off, referral bonuses, and a commitment to well-being and career success.