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Senior Generative Ai Engineer Jobs in Delaware (NOW HIRING)

Senior eDiscovery Analyst

Wilmington, DE · Remote

$89K - $113K/yr

Join Fish's team in our fast-paced Litigation Department as a Senior eDiscovery Analyst . This role ... LLMs) and generative AI as applied to document review -- including prompt engineering, model ...

Job Title Lead AI Engineer About Your Role As a Lead AI Engineer, you will play a critical role in ... Mentor senior engineers, foster communities of practice, and promote architectural thinking ...

Responsibilities : • Design and develop AI/ML and Generative AI solutions for banking use cases ... Banking regulations (SR 11-7, GDPR), Model Risk Management • Soft Skills: Strong communication ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

Showing results 21-40

Senior Generative Ai Engineer information

What does a senior generative AI engineer do?

A Senior Generative AI Engineer designs, develops, and implements advanced artificial intelligence models, particularly those focused on generating content such as text, images, or audio. They work with large datasets, build and fine-tune generative models like GPT or diffusion models, and oversee the deployment of these systems into production environments. Additionally, they collaborate with cross-functional teams to integrate AI capabilities into products, optimize model performance, and ensure ethical AI practices are followed.

What are the key skills and qualifications needed to thrive as a senior generative AI engineer, and why are they important?

To thrive as a Senior Generative AI Engineer, you need deep expertise in machine learning, deep learning, and natural language processing, typically backed by an advanced degree in computer science or related fields. Proficiency in frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and familiarity with large language models are essential, along with relevant certifications. Strong problem-solving skills, creativity, and effective communication set standout engineers apart in this role. These skills and qualities are crucial for designing innovative AI solutions, collaborating across teams, and advancing the capabilities of generative models in real-world applications.

What are some of the unique challenges senior generative AI engineers face when deploying models in production environments?

Senior Generative AI Engineers often encounter challenges such as ensuring model reliability, addressing biases in generated outputs, and managing the significant computational resources required for deployment. There's also a strong need to collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to ensure the solutions align with business goals and maintain user trust. Balancing innovation with ethical considerations and scalability is crucial in this fast-evolving field.

What is the difference between Senior Generative Ai Engineer vs Machine Learning Engineer?

AspectSenior Generative Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with generative modelsBachelor's/Master's in CS, Data Science, or related; strong ML fundamentals
Work EnvironmentResearch and development focused, often in AI startups or tech companiesData analysis, model development, often across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech, finance, healthcare, and other sectors utilizing ML solutions

The main difference is that Senior Generative Ai Engineers specialize in developing and optimizing generative models like GPT or GANs, focusing on AI creativity and content generation. Machine Learning Engineers have a broader scope, working on various ML algorithms and applications across multiple industries. Both roles require strong technical skills, but the Senior Generative Ai Engineer's expertise is more specialized in generative AI technologies.

What are the most commonly searched types of Generative Ai Engineer jobs in Delaware?

The most popular types of Generative Ai Engineer jobs in Delaware are:

What are popular job titles related to Senior Generative Ai Engineer jobs in Delaware?

For Senior Generative Ai Engineer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Senior Generative Ai Engineer jobs in Delaware look for?

The top searched job categories for Senior Generative Ai Engineer jobs in Delaware are:

What cities in Delaware are hiring for Senior Generative Ai Engineer jobs?

Cities in Delaware with the most Senior Generative Ai Engineer job openings:

Infographic showing various Senior Generative Ai Engineer job openings in Delaware as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 91% In-person, and 9% Remote job distribution.

Emerging Risk Strategic Analytics, Senior Associate

JPMorgan Chase & Co.

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 5 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 176 rated banks


Job description


Job Summary
Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.
As a Risk Intelligence & AI Lead in consumer banking Risk Insights, you will own the development and evolution of AI-powered risk intelligence capabilities that monitor consumer and small business health, detect emerging risks, and deliver actionable insights to senior leadership. You will sit at the intersection of data science, Generative AI, and risk strategy - leading the design and deployment of LLM-driven solutions, agentic AI workflows, and advanced analytical tools that automate research, generate executive narratives, and enhance the speed and quality of risk decision-making. This role offers a rare combination of strategic influence and hands-on technical leadership. You will partner directly with Technology, Data, Risk Management, and Governance teams to build scalable, production-grade AI solutions while ensuring full compliance with firm standards for model governance, responsible AI, and controls. You will translate complex macroeconomic, credit, and portfolio trends into clear, compelling communications for senior executives - making you a critical voice in how the consumer bank understands and responds to the world around it.
Job Responsibilities:
  • Develop and maintain risk intelligence capabilities that leverage internal and external data sources, large datasets, and analytical tools to monitor consumer and small business health, credit performance, labor market conditions, and macroeconomic developments
  • Lead the end-to-end development of Generative AI and Agentic AI capabilities for CCB Risk Insights, including architecture design, prompt engineering, agent orchestration, and deployment of LLM-powered solutions
  • Design, build, and maintain AI-powered solutions that automate emerging risk detection, narrative generation, executive reporting, research workflows, and conversational analytics across consumer banking Risk
  • Translate complex risk, economic, and portfolio trends into actionable insights, executive-ready communications, and strategic recommendations for senior leadership
  • Evaluate, test, and implement new AI technologies, analytical tools, and platforms - developing scalable, repeatable capabilities that improve efficiency, insight quality, and risk monitoring effectiveness
  • Partner with Technology, Data, Risk Management, and Governance teams to ensure all analytical and AI solutions comply with firm standards for controls, model governance, security, and responsible AI practices
  • Build and refine automated research and reporting pipelines that synthesize structured and unstructured data into timely, high-quality risk intelligence outputs
  • Identify and assess emerging risks across consumer and small business portfolios by integrating alternative data, market signals, and macroeconomic indicators into monitoring frameworks
  • Develop scalable prototypes and proof-of-concept solutions that demonstrate the value of new AI capabilities, driving adoption and stakeholder buy-in across the organization
  • Collaborate cross-functionally with data engineering, product, and business stakeholders to define requirements, prioritize use cases, and ensure AI solutions address real business needs
  • Stay current on advancements in large language models, agentic AI frameworks, and applied AI research, proactively identifying opportunities to enhance Risk Insights capabilities

Required Qualifications, Capabilities, and Skills:
  • 3+ years of experience in data science, risk analytics, AI/ML engineering, or a related quantitative discipline within financial services or a similarly complex, regulated industry
  • Bachelor's degree in Computer Science, Data Science, Statistics, Economics, Engineering, or a related quantitative field
  • Experience developing and deploying Generative AI or LLM-based solutions, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, or agent-based architectures
  • Strong proficiency in Python and SQL, with demonstrated experience working with large-scale structured and unstructured datasets
  • Proven ability to translate complex analytical findings into clear, concise executive communications and actionable recommendations for senior stakeholders
  • Experience building automated data pipelines, reporting workflows, or analytical tools that operate at production scale
  • Solid understanding of consumer credit risk, macroeconomic indicators, labor market dynamics, or portfolio performance analytics
  • Demonstrated experience partnering with technology, governance, and risk management teams to deliver solutions that meet enterprise-level controls, model risk management, and responsible AI standards
  • Strong knowledge of machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent)
  • Excellent problem-solving skills with the ability to work independently, manage ambiguity, and drive projects from concept through production deployment
  • Experience with data visualization tools and techniques for communicating risk trends and analytical outputs to non-technical audience

Preferred Qualifications, Capabilities, and Skills:
  • Master's degree or PhD in a quantitative discipline such as Computer Science, Machine Learning, Statistics, Economics, or Computational Finance
  • Experience with agentic AI frameworks, multi-agent orchestration, or autonomous workflow design
  • Familiarity with JPMorganChase internal platforms, data infrastructure, and risk management frameworks
  • Experience with cloud-based AI/Machine Learning platforms (e.g., AWS SageMaker, Azure ML, or equivalent enterprise environments)
  • Background in natural language processing (NLP) applied to financial documents, earnings reports, regulatory filings, or news analytics

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.
Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

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