Summer Engineering Internship (Developer) – AI-Enabled Coding

BNY Mellon

New York (NY)

On-site

USD 52,000 - 110,000

Full time

9 days ago

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Benefits offered by this job

Mentorship
Structured onboarding
Networking opportunities
Hands-on project work

Job summary

BNY Mellon invites high-potential undergraduates to its 2027 Summer Internship Program in Engineering (Developer) in New York. This 10-week experience centers on Agile projects and hands-on development across JavaScript, Python, CSS, Java, and more.

Interns collaborate with engineers, architects, and product partners to build secure, reliable solutions, leveraging enterprise AI tools and modern practices while receiving mentorship and structured onboarding to accelerate growth.

Qualifications

  • Enrollment in a 4-year undergraduate degree program with a focus on business-related and/or technology-related majors preferred.
  • Graduating in Dec 2027 or May 2028 (U.S.).
  • Minimum cumulative GPA of 3.0 or better.
  • Does not require sponsorship for employment visa status (now or in the future) in the country where applying.

Responsibilities

  • Contribute across the end-to-end software development lifecycle by translating client and business needs into technical designs; building and enhancing features, APIs, automation, developer tools, and platform capabilities; and supporting testing, release, monitoring, and continuous improvement.

Skills

Software engineering foundations
AI-enabled engineering
Quality and security
Platform reliability
Product/business acumen
Cross-functional collaboration

Education

Pursuing a 4-year undergraduate degree

Tools

AI coding tools
CI/CD concepts
Source control
Testing frameworks

Job description

BNY Mellon invites high-potential undergraduates to its 2027 Summer Internship Program in Engineering (Developer) in New York. This 10-week experience centers on Agile projects and hands-on development across JavaScript, Python, CSS, Java, and more.

Interns collaborate with engineers, architects, and product partners to build secure, reliable solutions, leveraging enterprise AI tools and modern practices while receiving mentorship and structured onboarding to accelerate growth.

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