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Commission Applied Intelligence Jobs (NOW HIRING)

Applied AI/ML Lead

Manhattan, NY · On-site

$164K - $260K/yr

... intelligence and machine learning technologies to augment our services and stimulate business ... Those in eligible roles may receive commission-based pay and/or discretionary incentive ...

... intelligence and machine learning technologies to augment our services and stimulate business ... Those in eligible roles may receive commission-based pay and/or discretionary incentive ...

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Commission Applied Intelligence information

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$45.5K

$104.6K

$144K

How much do commission applied intelligence jobs pay per year?

As of Jun 27, 2026, the average yearly pay for commission applied intelligence in the United States is $104,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $118,500.00 per year, depending on experience, location, and employer.

Are intelligence jobs high paying?

Commission Applied Intelligence roles typically offer competitive salaries, especially for professionals with strong analytical skills, experience in data analysis, and proficiency with AI tools. Compensation varies based on experience, location, and the complexity of the projects involved, but these jobs often include performance-based incentives. Overall, intelligence-related roles tend to be well-paying within the tech and data sectors.

What are the requirements for MI6?

To work in a role related to intelligence at MI6, candidates typically need British citizenship, a strong academic background, and relevant experience in areas such as foreign languages, technology, or security. Applicants must pass security and background checks, and often require excellent communication skills and the ability to work under pressure.

How much do CIA analysts get paid?

CIA analysts typically earn between $60,000 and $120,000 annually, depending on experience, education, and rank. Salaries are complemented by benefits such as healthcare, retirement plans, and opportunities for career advancement within the agency.

What is the difference between Commission Applied Intelligence vs Data Analyst?

AspectCommission Applied IntelligenceData Analyst
Required CredentialsRelevant certifications in applied intelligence, data analysis, or related fieldsBachelor's or master's in data science, statistics, or related fields
Work EnvironmentBusiness settings, sales teams, or financial sectors focusing on commission strategiesOffice environments, analyzing data sets, creating reports
Employer & Industry UsageSales organizations, financial firms, marketing agenciesTech companies, consulting firms, corporate analytics departments
Search & Comparison IntentUnderstanding roles related to commission strategies and intelligenceAnalyzing data to inform business decisions

Commission Applied Intelligence focuses on leveraging data to optimize commission strategies within sales and financial sectors, often requiring specialized certifications. Data Analysts interpret data to support decision-making across various industries. While both roles involve data skills, Commission Applied Intelligence emphasizes commission-related insights, whereas Data Analysts have a broader scope in data analysis.

Which 3 jobs will survive AI?

Commission Applied Intelligence professionals are likely to find roles in areas requiring complex decision-making, strategic planning, and human judgment that AI cannot easily replicate. Jobs involving creative problem-solving, interpersonal communication, and oversight of AI systems are expected to persist. Skills in data analysis, critical thinking, and domain expertise will remain valuable in these roles.
More about Commission Applied Intelligence jobs
What cities are hiring for Commission Applied Intelligence jobs? Cities with the most Commission Applied Intelligence job openings:
What are the most commonly searched types of Applied Intelligence jobs? The most popular types of Applied Intelligence jobs are:
What states have the most Commission Applied Intelligence jobs? States with the most job openings for Commission Applied Intelligence jobs include:
Infographic showing various Commission Applied Intelligence job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 62% Physical, 1% Hybrid, and 37% Remote job distribution, with an average salary of $104,643 per year, or $50.3 per hour.
Applied AI/ML - Vice President

Applied AI/ML - Vice President

JPMorgan Chase & Co.

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 14 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

46th of 142 rated banks


Job description


This is a unique opportunity to apply your skills and leadership in a dynamic environment, directly impacting the future of Home Lending through innovative AI/ML solutions. You will be at the forefront of technology, shaping the next generation of intelligent products and services at JPMorgan Chase.
As Applied AI ML Lead at Consumer & Community Banking Tech, you will drive ML and GenAI projects, leveraging expertise to deliver innovative solutions.
Job responsibilities
  • Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements.
  • Design, develop, and deploy state-of-the-art AI/ML/GenAI solutions to meet business objectives.
  • Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
  • Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create innovative fintech products.
  • Develop advanced monitoring and management tools to ensure high reliability and scalability of AI/ML systems.
  • Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
  • Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
  • Communicate AI/ML capabilities and results to both technical and non-technical audiences.
  • Build AI Agents and chatbot
  • Stay informed about the latest trends and advancements in the latest AI/ML research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.

Required qualifications, capabilities, and skills
  • Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science.
  • 5+ years of experience in Machine Learning and Artificial Intelligence engineering.
  • Experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production.
  • Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
  • Extensive hands-on technical experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, AWS Bedrock, Transformers, LangChain/LngGraph.
  • Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), orchestration tools (Airflow, FastAPI, etc.) and architectural design, implementation, and performance optimization.
  • Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, deep learning, reinforcement learning), and generative model architectures.
  • Expert in Large Language models (OpenAI, Anthropic, Mistral, etc) including fine-tuning models, prompt engineering, embeddings and context window.
  • Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.

Preferred qualifications, capabilities, and skills
  • Familiarity with the financial services industries.
  • Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
  • Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
  • Familiarity with ethical AI, including bias mitigation, explainability and escalation protocols for risky outputs.

About Us
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
About the Team
Our Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You'll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.

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