Contribution · Careers
Careers after B.Tech with AI Security skills
AI security is the practice of protecting machine learning and LLM-based systems from misuse, manipulation and unsafe behaviour — covering guardrails, input handling, model safety and the security of the surrounding application. It is a fast-emerging area at the boundary of AI and security engineering. For B.Tech graduates, AI Security skills translate into roles like AI Security Engineer, ML Platform Security Engineer, Application Security Engineer, Trust and Safety Engineer — and the portfolio that gets those interviews is built during the degree: coursework, lab projects, hackathons, internships, and a visible capstone. Here is how that maps out at Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura.
At a glance
- Topic
- AI Security
- VSET programme
- B.Tech CSE (Cyber Security)
- Coverage at VSET
- Taught as coursework
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
Where AI Security skills lead
Graduates applying AI Security skills typically target roles such as AI Security Engineer, ML Platform Security Engineer, Application Security Engineer, Trust and Safety Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.
What students actually build
- Capstone projects that ship AI features are expected to consider guardrails and safe input handling.
- Smart India Hackathon entries increasingly involve AI components where safety is part of the build quality.
How VSET teaches AI Security
AI security is the practice of protecting machine learning and LLM-based systems from misuse, manipulation and unsafe behaviour — covering guardrails, input handling, model safety and the security of the surrounding application. It is a fast-emerging area at the boundary of AI and security engineering. At VSET this maps to documented coursework depth inside B.Tech CSE (Cyber Security).
- AI-security topics including prompt injection, guardrails and model safety are covered as coursework relevant to production AI systems at VSET.
- This is possible because VSET runs parallel AI tracks — B.Tech CSE (AI & ML) and B.Tech CSE (AI & DS) — alongside the dedicated cyber security track.
- The material connects application security practice to machine learning system design.
- Framing is defensive throughout: designing systems that behave safely under adversarial input.
Frequently asked questions
What jobs can I get with AI Security skills after B.Tech?
Common roles include AI Security Engineer, ML Platform Security Engineer, Application Security Engineer, Trust and Safety Engineer. Entry depends more on demonstrated project work than on the branch name alone — a visible capstone and internship experience carry significant weight.
Does VSET cover AI security?
Yes. AI-security topics such as prompt injection, guardrails and model safety are covered as coursework relevant to production AI systems.
Why is AI security taught here?
VSET runs parallel AI tracks — CSE (AI & ML) and CSE (AI & DS) — alongside the dedicated CSE (Cyber Security) track, so the two areas meet naturally.
Is there GPU hardware for AI work?
Yes, the AICTE IDEA Lab provides GPU workstations.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE (Cyber Security) — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31