Summer AI-Driven Software Engineer Intern

BNY

Greater Manchester

On-site

GBP 4,000 - 6,000

Full time

3 days ago
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Benefits offered by this job

Competitive compensation
Health and wellbeing programs
Paid leave including volunteer time

Job summary

BNY is offering a Summer Internship Program in Greater Manchester, United Kingdom. You will contribute across the end-to-end software development lifecycle, translating client needs into designs, building features, APIs, automation, and platform capabilities while supporting testing, release, and monitoring.

You'll work with engineers, architects, and product partners to deliver secure, reliable solutions, and build skills in AI-enabled engineering, automated quality, and platform reliability.

Qualifications

  • Typical bachelor’s or master’s degree in a related field or current undergrad with consistent progress.
  • Familiarity with software development lifecycle and modern engineering practices.
  • Interest in AI-assisted development and responsible AI usage.

Responsibilities

  • Contribute across end-to-end software development lifecycle translating client needs into designs.
  • Build features, APIs, automation, developer tools, and platform capabilities.
  • Support testing, release, monitoring, and continuous improvement.
  • Collaborate with engineers, architects, and product partners to deliver secure, reliable solutions.

Skills

Software engineering foundations
AI-enabled engineering
Automated quality
Platform and reliability
Product and business acumen
Professional collaboration

Education

Undergraduate degree enrollment

Job description

BNY is offering a Summer Internship Program in Greater Manchester, United Kingdom. You will contribute across the end-to-end software development lifecycle, translating client needs into designs, building features, APIs, automation, and platform capabilities while supporting testing, release, and monitoring.

You'll work with engineers, architects, and product partners to deliver secure, reliable solutions, and build skills in AI-enabled engineering, automated quality, and platform reliability.

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