1

Ai Applications Engineer Jobs (NOW HIRING)

Description The Mount Sinai West Cardiology AI Research Lab is seeking an experienced and highly motivated AI Applications Engineer II to support the rapid development, implementation, and ...

... applications you build: package for production on Azure AI Foundry or Container Apps, add tracing and logging, monitor usage and quality, and respond to production issues. * Apply prompt engineering ...

$150 - $200/hr

Are you an AI/GenAI engineer who loves shipping real systems? Join Stanford's Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you ...

... applications you build: package for production on Azure AI Foundry or Container Apps, add tracing and logging, monitor usage and quality, and respond to production issues. * Apply prompt engineering ...

... applications you build: package for production on Azure AI Foundry or Container Apps, add tracing and logging, monitor usage and quality, and respond to production issues. * Apply prompt engineering ...

US manufacturing runs on hard-won expertise: codes, standards, decades of engineering judgment, and ... The AI Applications Manager will lead the company-wide adoption and governance of AI applications ...

US manufacturingruns onhard-wonexpertise: codes, standards, decades of engineering judgment, and ... The AI Applications Manager will lead the company-wide adoption and governance of AI applications ...

US manufacturing runs on hard-won expertise: codes, standards, decades of engineering judgment, and ... The AI Applications Manager will lead the company-wide adoption and governance of AI applications ...

US manufacturing runs on hard-won expertise: codes, standards, decades of engineering judgment, and ... The AI Applications Manager will lead the company-wide adoption and governance of AI applications ...

Showing results 21-40

Ai Applications Engineer information

See salary details

$50.5K

$110.7K

$152K

How much do ai applications engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for ai applications engineer in the United States is $110,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $135,000.00 per year, depending on experience, location, and employer.

What is an AI applications engineer?

AI Applications Engineers are professionals who design, develop, and integrate artificial intelligence (AI) solutions into software applications to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to build and deploy machine learning models, automate processes, and enhance user experiences. Their responsibilities often include selecting appropriate AI technologies, writing code, testing models, and optimizing performance. AI Applications Engineers play a key role in translating AI research and prototypes into scalable and maintainable products used in industries like healthcare, finance, retail, and more.

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

To thrive as an AI Applications Engineer, you need strong programming abilities (Python, Java, or C++), a solid understanding of machine learning algorithms, and a relevant degree in computer science or engineering. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools is typically required, along with certifications in machine learning or AI. Excellent problem-solving, collaboration, and communication skills help you translate business needs into effective AI solutions and work efficiently with cross-functional teams. These skills are critical for building scalable, reliable AI systems that deliver tangible value to organizations.

How does an AI applications engineer typically collaborate with data scientists and software developers on project teams?

As an AI Applications Engineer, you will often serve as a bridge between data scientists, who build and optimize machine learning models, and software developers, who integrate these models into production systems. Collaboration usually involves translating model requirements into scalable application features, ensuring model outputs align with user needs, and troubleshooting technical challenges that arise during deployment. Regular meetings, code reviews, and shared documentation are common practices to keep everyone aligned and ensure seamless integration. This cross-functional teamwork enhances both the technical robustness and usability of AI-powered applications.

What is the difference between Ai Applications Engineer vs Data Scientist?

AspectAi Applications EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teamsAnalyzes data, builds models, interprets results
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, tech, research institutions

While both roles involve AI and data, Ai Applications Engineers focus on developing and deploying AI solutions in engineering contexts, whereas Data Scientists analyze data to extract insights. The roles often overlap but differ mainly in their primary focus and application environment.

What does an AI applications engineer do?

An AI applications engineer designs, develops, and implements artificial intelligence solutions to solve specific business problems. They work with machine learning models, data processing, and programming tools like Python or TensorFlow, often collaborating with data scientists and software developers to deploy AI systems effectively.
More about Ai Applications Engineer jobs

What cities are hiring for Ai Applications Engineer jobs?

Cities with the most Ai Applications Engineer job openings:

What states have the most Ai Applications Engineer jobs?

States with the most job openings for Ai Applications Engineer jobs include:

What are popular job titles related to Ai Applications Engineer jobs?

For Ai Applications Engineer jobs, the most frequently searched job titles are:

Infographic showing various Ai Applications Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $110,698 per year, or $53.2 per hour.

AI Applications Engineer I (Clinical Research)

On-site

Mount Sinai Medical Center
Hospitals • 1 - 5K employees

Other

Posted 6 days ago


Job description

Description

The Mount Sinai West Cardiology AI Research Lab is seeking an experienced and highly motivated AI Applications Engineer II to support the rapid development, implementation, and optimization of AI-enabled clinical applications within a healthcare environment. This role sits at the intersection of software engineering, clinical workflow improvement, data integration, and applied artificial intelligence. The engineer will work closely with physicians, clinical operations teams, data stakeholders, and technology partners to build practical tools that improve care delivery, streamline workflows, and support innovation within cardiology. The ideal candidate has strong software engineering fundamentals, experience building full-stack or platform applications, and the ability to move quickly from concept to working prototype. This role is well suited for an engineer who is comfortable working in a fast-moving clinical environment and translating real-world workflow needs into usable, scalable software solutions.

Responsibilities
  • Design, develop, test, and maintain clinician-facing applications, internal tools, dashboards, and workflow-support systems for the Cardiology AI Lab.
  • Rapidly prototype and iterate on AI-enabled clinical workflows, including tools that support documentation, triage, care coordination, remote monitoring, quality improvement, research operations, or clinical decision support.
  • Collaborate directly with physicians, advanced practice providers, nurses, administrative leaders, and operational stakeholders to understand clinical workflows and translate user needs into technical requirements.
  • Build and maintain full-stack applications, APIs, data pipelines, and integrations that support clinical and operational use cases.
  • Assist with integration of applications into healthcare data systems, institutional infrastructure, and approved technology environments.
  • Work with clinical and data teams to ensure applications are reliable, usable, secure, and aligned with institutional standards.
  • Help define implementation processes, user workflows, documentation, and operational protocols for deployed applications.
  • Support architecture, scalability, maintainability, and production-readiness decisions as applications mature from prototype to operational tools.
  • Evaluate and apply modern AI-assisted development workflows, large language model tools, automation frameworks, and emerging software development approaches where appropriate.
  • Participate in testing, troubleshooting, user feedback cycles, and continuous improvement of deployed applications.
  • Maintain clear technical documentation, workflow documentation, and communication with cross-functional stakeholders.
  • Ensure that all work is performed in accordance with Mount Sinai policies, privacy standards, data security requirements, and applicable healthcare regulations.
Qualifications

Required

  • Bachelor’s degree in computer science, Software Engineering, Data Science, Biomedical Informatics, Engineering, or a related technical field.
  • Minimum of 3 years of professional experience in software engineering, application development, data engineering, AI/ML engineering, clinical informatics engineering, or a related technical role.
  • Strong programming skills in one or more commonly used languages such as Python, JavaScript/TypeScript, Java, C#, or similar.
  • Experience building software applications, internal tools, dashboards, APIs, or platform components.
  • Familiarity with databases, data models, SQL, APIs, and software development best practices.
  • Ability to work collaboratively with non-technical stakeholders and translate operational or clinical needs into technical solutions.
  • Strong problem- solving skills and comfort working in ambiguous, evolving project environments.
  • Excellent communication, documentation, and organizational skills.

Preferred

  • Experience working in a healthcare, hospital, academic medical center, clinical research, or health technology environment.
  • Familiarity with EHR data, clinical workflows, healthcare operations, HL7/FHIR concepts, Epic-related workflows, REDCap, OMOP, or institutional data warehouses.
  • Experience with AI-enabled applications, machine learning workflows, large language models, natural language processing, or AI-assisted software development tools.
  • Experience developing full-stack applications using modern web frameworks.
  • Experience with cloud services, containerization, CI/CD pipelines, secure deployment practices, or production software environments.
  • Familiarity with clinical quality improvement, care coordination, remote patient monitoring, cardiovascular medicine, or cardiology workflows and interest in applied AI, rapid prototyping, and building practical tools that can be used by clinicians and operational teams.
Employer Description Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well‑being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint‑venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report’s Best Hospitals, receiving high “Honor Roll” status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children’s Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Compensation

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $128390 - $192585 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

#J-18808-Ljbffr