3 weeks ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Build production-grade agentic AI systems that securely operate on enterprise and cloud data. You’ll design and implement LLM-powered solutions to automate cloud security, governance, and operational workflows, including RAG pipelines, Security-as-Code, and Policy-as-Code. Collaborate across cloud engineering, cybersecurity, product, and platform teams to integrate AI agents with enterprise platforms and help operate AI systems in production within a highly regulated environment.

Location: New York, Phoenix

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design and implement LLM-powered and agentic AI solutions to automate cloud security, governance, and operational workflows.
•Build agentic AI workflows that reason over enterprise security context and perform automated actions with 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.
•Create and maintain RAG pipelines using enterprise security documentation, policies, incident data, and operational knowledge with correctness, privacy, and compliance in mind.
•Develop Security-as-Code and Policy-as-Code capabilities to validate cloud configurations and enforce security guardrails, including remediation recommendations or automation.

Pay and Benefits

Salary: USD 103,750 - 174,750 annually

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityParental LeaveRetirement SavingsCounselingLearning Budget

Key Requirements

•2+ years of professional software engineering experience.
•Hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems.
•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.

Experience:2+ yearsFintechRegulated environmentsOpen source

Education:Bachelor's

Skills:Technical ownershipLearning mindsetCollaborationCustomer mindsetCuriosity

Tech Stack:AIAgentic AILLMsLLM toolingPrompt engineeringRAGRAG pipelinesVector databasesAPIsAPIRESTGitJavaPythonGoTypeScriptJ2EEJDBCJenkinsJSON

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

American Express

Industry: Payments

Website

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American Express

3 weeks ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: New York, Phoenix

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design and implement LLM-powered and agentic AI solutions to automate cloud security, governance, and operational workflows.
•Build agentic AI workflows that reason over enterprise security context and perform automated actions with 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.
•Create and maintain RAG pipelines using enterprise security documentation, policies, incident data, and operational knowledge with correctness, privacy, and compliance in mind.
•Develop Security-as-Code and Policy-as-Code capabilities to validate cloud configurations and enforce security guardrails, including remediation recommendations or automation.

Pay and Benefits

Salary: USD 103,750 - 174,750 annually

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityParental LeaveRetirement SavingsCounselingLearning Budget

Key Requirements

•2+ years of professional software engineering experience.
•Hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems.
•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.

Experience:2+ yearsFintechRegulated environmentsOpen source

Education:Bachelor's

Skills:Technical ownershipLearning mindsetCollaborationCustomer mindsetCuriosity

Tech Stack:AIAgentic AILLMsLLM toolingPrompt engineeringRAGRAG pipelinesVector databasesAPIsAPIRESTGitJavaPythonGoTypeScriptJ2EEJDBCJenkinsJSON

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

American Express

Industry: Payments

Website