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Applied Artificial Intelligence Jobs (NOW HIRING)

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... of Applied Science in Artificial Intelligence programs, and future AI programs. These courses introduce students to the principles, history, tools, and workplace applications of AI. The ideal ...

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How much do applied artificial intelligence jobs pay per year?

As of Jul 14, 2026, the average yearly pay for applied artificial intelligence in the United States is $102,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $132,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Applied Artificial Intelligence position, and why are they important?

To thrive in Applied Artificial Intelligence, a solid background in computer science, mathematics, and statistics—typically supported by a relevant degree—is essential. Experience with machine learning frameworks such as TensorFlow or PyTorch, programming languages like Python, and industry certifications in AI or data science are highly valued. Strong problem-solving skills, effective communication, and the ability to work collaboratively make candidates stand out. These competencies are vital for designing, implementing, and deploying AI solutions that address complex real-world challenges across diverse industries.

What is an Applied Artificial Intelligence job?

An Applied Artificial Intelligence job focuses on developing and implementing AI solutions to solve real-world problems. Professionals in this field apply machine learning, deep learning, and data-driven algorithms to improve decision-making, automation, and efficiency in various industries. They work closely with data scientists, engineers, and domain experts to integrate AI into existing systems or create new intelligent applications. This role requires strong programming skills, knowledge of AI frameworks, and an understanding of business or industry-specific challenges.

How to get a job in applied AI?

To get a job in applied AI, develop strong skills in programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and data analysis. Gaining relevant experience through projects, internships, or certifications in AI and machine learning can improve your chances, along with a solid understanding of algorithms and data structures.

What are some common responsibilities and collaborative aspects of an Applied Artificial Intelligence role?

In an Applied Artificial Intelligence role, you will typically be involved in developing, testing, and deploying AI models to solve real-world business problems. Your daily tasks may include data preprocessing, model training, evaluation, and working closely with cross-functional teams such as data engineers, product managers, and domain experts. Collaboration is a significant part of this position, as your insights often inform product development, process automation, and decision-making across the organization. This role offers exposure to cutting-edge technologies and provides opportunities to see the direct impact of your work in various industry applications.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages. Such salaries reflect the high demand for expertise in developing cutting-edge AI solutions and managing complex projects.

Is applied AI a good career?

Applied Artificial Intelligence is a growing field with high demand for skills in machine learning, data analysis, and programming. Careers in this area often involve working with AI models, programming languages like Python, and tools such as TensorFlow or PyTorch, offering opportunities across various industries including tech, healthcare, and finance.

What AI jobs are in demand?

In the field of applied artificial intelligence, in-demand roles include machine learning engineer, data scientist, AI research scientist, and AI software developer. These positions often require skills in programming languages like Python, knowledge of machine learning frameworks such as TensorFlow or PyTorch, and a strong understanding of algorithms and data analysis. Demand is driven by industries like healthcare, finance, and technology seeking AI solutions for automation and data insights.
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Applied Artificial Intelligence jobs near you
Infographic showing various Applied Artificial Intelligence job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $102,938 per year, or $49.5 per hour.
Applied AI & ML Lead - Markets Operations

Applied AI & ML Lead - Markets Operations

JP Morgan Chase

Jersey City, NJ • On-site

Full-time

Medical, Retirement

Posted 22 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks

Job description

Bring your expertise in applied artificial intelligence and machine learning to a team improving how Markets Operations runs at scale. You will partner across operations, product, engineering, and data to deliver production-grade solutions with measurable impact. In a collaborative environment, you will shape strategy, mentor talent, and build durable capabilities designed for reliability, control, and real-world adoption.

As an Applied Artificial Intelligence and Machine Learning Lead at JPMorganChase within Markets Operations in the Commercial & Investment Bank, you will drive the strategy, design, and delivery of solutions that improve operational efficiency, resilience, and control outcomes. You will lead a team of scientists and engineers and collaborate with senior stakeholders to prioritize high-impact opportunities and deliver solutions that scale. You will set technical direction, strengthen engineering and governance practices, and translate complex concepts into clear, outcome-focused results.

Job Responsibilities:

  • Lead the end-to-end delivery of machine learning and generative AI solutions that measurably improve Markets Operations outcomes

  • Set technical direction and execution strategy across model development, deployment, and adoption aligned to business priorities

  • Oversee the architecture and production deployment of AI applications, including agent-based and workflow-automation solutions

  • Manage, coach, and develop a team of scientists and engineers, fostering a collaborative and inclusive culture of continuous learning

  • Establish and enforce best practices for model monitoring, evaluation, and performance optimization in production environments

  • Partner with business, operations, and technology leaders to shape problem statements, success metrics, and delivery roadmaps

  • Guide analysis of large, complex datasets to identify drivers, risks, and automation opportunities

  • Ensure solutions are engineered for reliability, scalability, and maintainability, with strong operational readiness

  • Communicate technical approaches, decisions, and results through clear documentation and cross-functional forums

Required Qualifications, Capabilities, and Skills:

  • Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience
  • Bachelor's or Master's degree in computer science, data science, artificial intelligence, or a related field (or equivalent experience)
  • Demonstrated leadership delivering AI/ML initiatives from concept through production, including team and stakeholder management
  • Strong applied experience in machine learning, including feature engineering, model development, and statistical analysis on large datasets
  • Hands-on proficiency in Python and common machine learning libraries (for example, scikit-learn, TensorFlow, or PyTorch)
  • Proven experience deploying, operating, and maintaining production machine learning systems, including incident and performance ownership
  • Working knowledge of machine learning operations practices (machine learning lifecycle management, automation, and reproducibility)
  • Experience building and deploying generative AI applications and evaluating large language model outputs for quality and risk
  • Strong communication skills, including the ability to translate technical concepts for senior stakeholders and non-technical partners

Preferred Qualifications, Capabilities, and Skills:

  • Doctorate in a quantitative field or equivalent advanced applied research experience
  • Experience delivering AI/ML solutions in financial services, capital markets, or operations-focused environments
  • Experience working in highly regulated environments with strong model risk, governance, or control expectations
  • Experience designing scalable system architectures for AI products and platforms across multiple stakeholder groups

#CIBAppliedAI

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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