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Applied Artificial Intelligence Jobs (NOW HIRING)

Stefanini

Artificial Intelligence Engineer

Dearborn, MI · Remote

Stefanini is looking for an Artificial Intelligence Engineer (Dearborn, MI) For quick apply, please ... Act as the primary technical lead for applied AI implementation. Take pre-developed models from ...

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How much do applied artificial intelligence jobs pay per year?

As of Jun 9, 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.

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 can you do with an applied artificial intelligence degree?

An applied artificial intelligence degree prepares individuals for roles such as AI engineer, data scientist, machine learning engineer, or AI researcher. Graduates can develop algorithms, build intelligent systems, and work with tools like Python, TensorFlow, or PyTorch in various industries including technology, healthcare, finance, and robotics.
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Applied Artificial Intelligence jobs near you
Infographic showing various Applied Artificial Intelligence job openings in the United States as of May 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $102,938 per year, or $49.5 per hour.
Applied Artificial Intelligence Machine Learning, Sr Associate

Applied Artificial Intelligence Machine Learning, Sr Associate

JP Morgan Chase

Jersey City, NJ • On-site

$64K - $65K/yr

Full-time

Medical, Retirement

Posted 25 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 468 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Join our dynamic team of innovators and technologists as a Senior Applied AI/ML Associate , where your mission will be to revolutionize how the Bank services and advises clients, deepen client engagements, and drive process transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment-one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele.
Job Responsibilities

  • Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes.
  • Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client needs and drive transformation.
  • Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational process.
  • Collect and curate datasets for model training and evaluation.
  • Perform experiments using different model architectures and hyperparameters, determine appropriate objective functions and evaluation metrics, and run statistical analysis of results.
  • Monitor and improve model performance through feedback and active learning.
  • Collaborate with technology teams to deploy and scale the developed models in production.
  • Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders.
  • Stay up-to-date with the latest research in LLM, ML and data science. Identify and leverage emerging techniques to drive ongoing enhancement.
     

Required qualifications, capabilities, and skills

  • Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry.
  • Minimum of 4 years of experience in applying NLP, LLM and ML techniques in solving high-impact business problems, such as semantic search, information extraction, question answering, summarization, personalization, classification or forecasting.
  • Advanced python programming skills with experience writing production quality code
  • Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, gradient descent etc.
  • Hands-on experience with deep learning toolkits such as PyTorch, Transformers, HuggingFace.
  • Strong knowledge of language models, prompt engineering, model finetuning, and domain adaptation.
  • Familiarity with latest development in deep learning frameworks. 
  • Ability to communicate complex concepts and results to both technical and business audiences.

Preferred qualifications, capabilities, and skills

  • Prior experience of developing solutions for Financial domain
  • Exposure to distributed model training, and deployment
  • Familiarity with techniques for model explainability and self-validation
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 Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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