ZipRecruiter

Log In

1

Applied Artificial Intelligence Jobs (NOW HIRING)

JP Morgan Chase

Applied AI ML Engineer Lead

Palo Alto, CA · On-site

$117K - $155K/yr

The Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking is transformingoperationsbyleveragingthe latest advancements inagentic AI andfrontier models. As an ...

Meta

Security Engineer, Applied AI

Meta is seeking a Security Engineer to join our Applied Artificial Intelligence (AAI) organization. As a Security Engineer in AAI, you will apply deep d.

JP Morgan Chase

Applied AI ML Lead

Palo Alto, CA · On-site

As an Applied Artificial Intelligence and Machine Learning Lead at JPMorganChase within our agent platform team, you will drive the delivery of production-ready agent capabilities and developer ...

JPMorgan Chase & Co.

Applied AI ML Director

Seattle, WA · On-site

$180 - $320/hr

Are you passionate about harnessing the power of artificial intelligence and machine learning to ... As an Applied AI ML Director in the Commercial & Investment Bank at JPMorganChase, you'll play a ...

previous pagenext page

Showing results 21-40

All JobsApplied Artificial Intelligence Jobs

Applied Artificial Intelligence information

See salary details

$11K

$102.9K

$133K

How much do applied artificial intelligence jobs pay per year?

As of Sep 7, 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 is an applied artificial intelligence?

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 the common responsibilities and collaborative aspects of an applied artificial intelligence?

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 are the key skills and qualifications needed to thrive in applied artificial intelligence, 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.

How to get a job in applied artificial intelligence?

To get a job in applied artificial intelligence, develop strong skills in programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and data analysis. Obtain relevant education, such as a degree in computer science or data science, and build a portfolio of projects or experience in AI applications to demonstrate your expertise.

Is an applied artificial intelligence degree worth it?

An applied artificial intelligence degree provides foundational knowledge in machine learning, data analysis, and programming, which are essential skills for AI roles. It can improve job prospects and earning potential, especially when combined with practical experience and proficiency in tools like Python and TensorFlow.
More about Applied Artificial Intelligence jobs

What cities are hiring for Applied Artificial Intelligence jobs?

Cities with the most Applied Artificial Intelligence job openings:

What states have the most Applied Artificial Intelligence jobs?

States with the most job openings for Applied Artificial Intelligence jobs include:

What job categories do people searching Applied Artificial Intelligence jobs look for?

The top searched job categories for Applied Artificial Intelligence jobs are:

Applied Artificial Intelligence jobs near you
Infographic showing various Applied Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $102,938 per year, or $49.5 per hour.

Applied AI & ML Lead - Markets Operations

JPMorgan Chase & Co.

Jersey City, NJ • On-site

$140 - $180/hr

Other

Re-posted 16 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 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.

Applied Artificial Intelligence and Machine Learning Lead at JPMorganChase within Markets Operations in the Commercial & Investment Bank 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
#J-18808-Ljbffr

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply