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Applied Ai Engineer Jobs in Delaware (NOW HIRING)

J.P. Morgan

Lead Software Engineer

Wilmington, DE

Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work ... Formal training or certification on software engineering concepts and 5+ years applied experience.

JP Morgan Chase

Lead Software Engineer

Wilmington, DE · On-site

Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work ... Formal training or certification on software engineering concepts and 5+ years applied experience.

JPMorganChase

Lead Software Engineer

Wilmington, DE · On-site

... AI capabilities within the work environment to accelerate reliability design and operational ... applied experience • Deep proficiency in reliability, scalability, performance, security ...

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Applied Ai Engineer information

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

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

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

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

What are some common challenges applied AI engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.

How much does an applied AI engineer make?

An applied AI engineer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.
What are popular job titles related to Applied Ai Engineer jobs in Delaware? For Applied Ai Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Applied Ai Engineer jobs in Delaware look for? The top searched job categories for Applied Ai Engineer jobs in Delaware are:
What cities in Delaware are hiring for Applied Ai Engineer jobs? Cities in Delaware with the most Applied Ai Engineer job openings:
    Applied Ai Engineer jobs near you
    Infographic showing various Applied Ai Engineer job openings in Delaware as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

    Lead Software Engineer

    JPMorgan Chase & Co.

    Wilmington, DE • On-site

    Full-time

    Medical, Retirement

    Re-posted 24 days ago

    JPMorgan Chase & Co. rating

    8.0

    Company rating: 8.0 out of 10

    Based on 493 frontline employees who took The Breakroom Quiz

    73rd of 170 rated banks

    Job description


    Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
    As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
    Job responsibilities
    • Design and implement enterprise-grade Machine Learning platforms capable of deploying and running predictive models at scale.
    • Develop web applications using service-oriented and microservices architecture with Java and Python frameworks.
    • Integrate solutions with AWS Cloud Services, including compute, storage, databases, and security components.
    • Build tools and automation solutions for monitoring, provisioning, and streamlining processes, services, and reporting.
    • Establish comprehensive monitoring and alerting frameworks to ensure optimal performance, scalability, availability, and reliability.
    • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
    • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
    • Partner closely with Product teams to design, build, and deliver capabilities through agile sprints.
    • Leverage strong operational insights to recommend improvements to upstream products, processes, and policies that enhance the user experience.
    • Utilize AI agents and emerging technologies to build prototypes for demonstration purposes, presenting to peer groups, business partners, and senior leadership.
    • Deliver high-quality results within tight deadlines while maintaining a strong focus on code optimization, performance tuning, and engineering best practices.

    Required qualifications, capabilities, and skills
    • Formal training or certification on software engineering concepts and 5+ years applied experience.
    • Experience in building high-volume, low-latency, high-throughput transactional systems.
    • Experience in building microservices using Java/Spring Boot and Python/Fastapi/Flask
    • Experience with AWS services - S3, DynamoDB, ECS, EKS, RDS, Lambda, and ALB/NLB.
    • Experienced with pair programming agents such as GitHub Copilot/Claude code to accelerate prototyping.
    • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
    • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
    • Strong knowledge of RDBMS, schema design, SQL, query optimization, indexing, joins, and JDBC.
    • Agile Development experience with SCRUM or similar methodologies
    • Completed AWS Developer or Solution Architect Certification
    • Excellent problem-solving skills and the ability to think critically and creatively

    Preferred qualifications, capabilities, and skills
    • Experience in MLOps and building model serving applications
    • Experience with artificial intelligence and machine learning tools and framework in development.
    • Certification in Databricks
    • Experience in observability and production management tools (ex. Splunk / Dynatrace / Grafana)

    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 professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

    What JPMorgan Chase & Co. employees say

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