[EJV] Lead AI Safety & Security Engineer (with Joining Bonus)

🎁Q4 JOINING BONUS
Join BGSV by 31 December 2026 and receive a Joining Bonus equivalent to 1 month gross salary, subject to program eligibility and terms & conditions.
About the Role
We are looking for a Lead AI Safety & Security Engineer to own safety evaluation and security testing across Bosch's growing portfolio of AI-enabled products and internal tooling — large language model deployments and agentic AI systems (including Model Context Protocol – style tool-calling integrations), and the enterprise services they connect to. You will lead both sides of the same coin: whether an AI system behaves safely (does it refuse harmful requests, avoid unsafe recommendations, stay within its intended scope) and whether it is secure (can it be manipulated via prompt injection, tricked into misusing its tools, or made to leak data it shouldn't). This is a cross-business-unit mandate, not a single product line — you will build the practice largely from the ground up.
Key Responsibilities
Design and run safety evaluations for LLM-based features and AI agents: red-teaming for harmful, biased, or unsafe outputs; jailbreak and guardrail-bypass testing; systematic benchmarking against known safety failure modes.
Design and run security testing for the same systems: prompt injection (direct and indirect), excessive agency, tool/plugin abuse, and confused-deputy risks in agentic and MCP-style tool-calling architectures.
Build and maintain a threat model covering the full path from user input through model reasoning to tool execution — identifying where a safety failure and a security failure are really the same underlying gap.
Verify human-in-the-loop and guardrail controls are architecturally sound wherever an AI agent can take a consequential action (a write to a business system, an automated communication, a code change) — not just present in a UI that can be talked around.
Scope, brief, and review the output of external red-teaming/pentest vendors; write test specifications and acceptance criteria for AI-specific engagements.
Track and apply emerging frameworks — OWASP Top 10 for LLM Applications, OWASP Top 10 for Agentic Applications, the NIST AI Risk Management Framework, ISO/IEC 42001, and the EU AI Act — translating new research into concrete internal test requirements before it becomes an incident.
Partner with AI/ML engineering teams across business units to get safety and security reviewed into system design, not only tested after the fact.
Produce evidence and documentation supporting AI governance and compliance needs (ISO/IEC 42001 AI management system, EU AI Act risk assessments, internal responsible-AI review processes).
Build test tooling as needed: adversarial-prompt harnesses, automated jailbreak/red-team pipelines, and MCP/tool-schema fuzzers.
Mentor engineers on safe and secure AI system design, and grow the practice as it scales across more teams and products.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.
6+ years in security testing, AI/ML safety research, or a closely related discipline, with a track record of finding real issues in real systems.
Practical experience testing or red-teaming LLM/agentic AI systems — prompt injection, jailbreaks, excessive agency, tool/plugin abuse — independent research or open-source contributions are acceptable given how new this specialty is.
Working knowledge of at least one AI safety/governance framework (NIST AI RMF, ISO/IEC 42001, EU AI Act) and how it translates into concrete engineering requirements.
Enough coding ability (Python and/or JavaScript/Node) to build evaluation harnesses and test tooling rather than rely solely on manual testing.
Strong technical writing — comfortable producing findings and specifications that both engineers and governance/compliance stakeholders can act on directly.
Preferred Qualifications
Direct experience with the Model Context Protocol (MCP) or comparable agent tool-calling frameworks.
Traditional penetration testing background (web/API/network), OSCP or equivalent.
Experience contributing to a formal AI governance or compliance program.
Publications, CTF/red-team competition results, or open-source security tooling in the AI safety/security space.
Experience mentoring or building out a small safety/security testing team.
Relevant Certifications (any of the following a plus)
Offensive security / penetration testing — OSCP, OSWE, OSEP, GPEN, GWAPT, or CEH.
AI-specific security — ISC2 AI Security Certificate, EC-Council Certified Offensive AI Security Professional, or Certified AI Security Professional (CAISP).
AI governance / compliance — ISO/IEC 42001 Lead Auditor or Lead Implementer, or IAPP AI Governance Professional (AIGP).

Employment type
Full-time

Work arrangement
No