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Pipeline - Future Software Engineer Opportunity, Enterprise Technology Services (ETS)

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American Express logo

Pipeline - Future Software Engineer Opportunity, Enterprise Technology Services (ETS)

American Express

103,750–174,750 / Year

Location

New York, NY, United States • Phoenix, AZ, United States • Sunrise, FL, United States

Experience

Mid

Posted

Jul 14, 2026

Apply by

July 16, 2026

Applicants

0

Early applicantEasy applyFull-timeHybrid

Sign in to apply on web or download the app for more options.

Job Description

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues. At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the enterprise. Our focus is on agentic AI development: designing intelligent, adaptive systems that can plan, reason, and act across complex workflows with appropriate levels of autonomy. These systems power autonomous workflows, decision support, and customer-facing experiences—while meeting the high standards for security, explainability, reliability, and compliance required in financial services. We partner closely with product, design, and business teams to deliver agentic capabilities that reduce operational friction, improve decision-making, and transform how customers interact, transact, and grow. ### Responsibilities As an Software Engineer – Agentic AI , you will be a hands-on builder contributing to the development of production-grade agentic AI systems that securely operate on enterprise and cloud data while serving both internal and customer-facing use cases. You should be experienced and responsible for software design, development, testing, and implementation. Experience must include 1 year of experience with: Any of these - Agile, algorithms, API, API Rest, GIT, J2EE, Java, JavaScript, JDBC, Jenkins, JSON, JUnit, Linux, Log4J, Maven, object-oriented programming, performance tuning, RDBMS, relational databases, REST, Spring, Spring framework, Spring MVC, SQL, Unix, Waterfall, and XML You will work alongside experienced engineers, cloud architects, security engineers, product managers, and designers to design, build, and deploy AI-powered capabilities that automate cloud security, risk management, governance, and operational workflows. This role provides opportunities to grow technical expertise in LLMs, agentic systems, cloud security, and production AI engineering while operating within a highly regulated enterprise environment. This is not a research-only role. You will write production-quality code, contribute to architecture and security design discussions, implement AI-powered cloud security solutions, and support the systems you build throughout their operational lifecycle. What You'll Do - Design and implement LLM-powered and agentic AI solutions that automate cloud security, governance, and operational workflows. - Build and extend agentic AI workflows capable of reasoning over enterprise security context, invoking cloud security tools, and performing automated actions with appropriate guardrails and human oversight. - Develop AI agents that integrate with enterprise cloud platforms, SaaS applications, identity services, CNAPP, CSPM, SSPM, SIEM, and security orchestration platforms. - Design and maintain Retrieval-Augmented Generation (RAG) pipelines using enterprise security documentation, cloud architecture, policies, incident data, and operational knowledge while ensuring correctness, privacy, and regulatory compliance. - Develop Security-as-Code and Policy-as-Code capabilities that enable AI agents to validate cloud configurations, enforce security guardrails, and recommend or automate remediation activities. - Contribute to shared AI infrastructure including LLM services, orchestration frameworks, vector databases, agent evaluation frameworks, and AI observability tooling. - Build AI-powered automation for cloud security assessments, threat modeling, security posture analysis, compliance validation, and risk reporting. - Participate in operating AI systems in production, including monitoring model performance, evaluating agent behavior, debugging issues, improving reliability, and ensuring secure AI operations. - Collaborate with cloud engineering, cybersecurity, platform engineering, product, and business teams to translate security and operational requirements into scalable AI-enabled solutions. - Ensure AI systems are designed with enterprise security, governance, explainability, auditability, and responsible AI principles. ### Qualifications - 2+ years of professional software engineering experience. - Some hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems (professional or project-based). - Solid engineering fundamentals in at least one backend language (Java, Python, Go, or TypeScript). - Familiarity with APIs, basic cloud concepts, and modern development practices. - Interest in agentic AI systems, autonomy, and AI-assisted development workflows. - Willingness to learn, take feedback, and grow technical ownership over time. - Comfort working in collaborative, cross-functional teams. - A strong customer mindset and curiosity about real-world problem solving. Preferred Qualifications - Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or personal projects. - Internship or early-career experience in fintech or other regulated environments. - Contributions to open-source projects, hackathons, or side projects related to AI or developer tooling. - Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions. ### About the Team We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: - Competitive base salaries - Bonus incentives - 6% Company Match on retirement savings plan - Free financial coaching and financial well-being support - Comprehensive medical, dental, vision, life insurance, and disability benefits - Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need - 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy - Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) - Free and confidential counseling support through our Healthy Minds program - Career development and training opportunities For a full list of Team Amex benefits, visit our [Colleague Benefits Site](https://www.americanexpress.com/en-us/colleagues/benefits). American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers - Click to view the “[Know Your Rights](https://www.eeoc.gov/poster)” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster. The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.​ ### About the Company At American Express, our culture is built on a 175-year history of innovation, [shared values](https://www.americanexpress.com/en-us/company/who-we-are/)and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Key Responsibilities

  • Design and implement LLM-powered and agentic AI solutions for cloud security and governance.
  • Build agentic AI workflows capable of reasoning over enterprise security context and performing automated actions.
  • Develop AI agents integrating with enterprise cloud platforms, SaaS applications, and security orchestration tools.
  • Design and maintain Retrieval-Augmented Generation (RAG) pipelines using enterprise security documentation.
  • Develop Security-as-Code and Policy-as-Code capabilities for cloud configuration validation.
  • Contribute to shared AI infrastructure including LLM services, orchestration frameworks, and vector databases.
  • Build AI-powered automation for cloud security assessments, threat modeling, and compliance validation.
  • Participate in operating AI systems in production, including monitoring model performance and debugging.
  • Collaborate with cross-functional teams to translate security requirements into scalable AI-enabled solutions.
  • Ensure AI systems are designed with enterprise security, governance, and responsible AI principles.

Requirements

  • Bachelor's Degree

Skills Required

AgileAlgorithmsAPIRESTGITJ2EEJavaJavaScriptJDBCJenkinsJSONJUnitLinuxLog4JMavenObject-oriented programmingPerformance tuningRDBMSRelational databasesSpringSpring frameworkSpring MVCSQLUnixWaterfallXMLBackend programmingCloud conceptsLLM-based applicationsApplied ML systemsCollaborationCustomer mindsetCuriosityWillingness to learnReceptiveness to feedbackLLM toolingPrompt engineeringAgent frameworksOpen-source contributions

Benefits

  • Competitive base salaries
  • Bonus incentives
  • 6% Company Match on retirement savings plan
  • Free financial coaching
  • Comprehensive medical, dental, vision, life insurance, and disability benefits
  • Flexible working model
  • 20+ weeks paid parental leave
  • Free access to global on-site wellness centers
  • Free and confidential counseling support
  • Career development and training opportunities

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Job Overview

Salary

103,750–174,750 / Year

Currency: USD

Job Type

Full-time

Experience

Mid

Location

New York, NY, United States • Phoenix, AZ, United States • Sunrise, FL, United States

Application Deadline

July 16, 2026

Total Applicants

0

About American Express

American Express logo

American Express is a leading company in the Technology sector, known for innovation and employee-centric culture.

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