Location
London

Hours
Hybrid working with reasonable accommodations

Salary
Competitive compensation with potential eligibility for an annual discretionary bonus award based on company, department, team, and individual performance

About the Role
The AI & Automation Security Engineer is a hands-on role for engineers passionate about both AI and cybersecurity. This position focuses on securing business AI systems including AI-enabled applications, LLM models, agents, and supporting platforms across their full lifecycle. Additionally, it leverages AI and automation to transform and scale the security function through risk-based vulnerability management, alert enrichment, workflow orchestration, and CI/CD checks. Whether your background is in security engineering with AI experience or as an AI engineer eager to deepen your security expertise, you will collaborate across teams to deliver robust, production-ready protections and innovative security solutions at scale, emphasizing business impact and responsible practices.

When you join Janus Henderson, you can expect generous holiday policies, excellent health and wellbeing benefits including corporate membership to Wellhub, paid volunteer time, support for professional development and tuition reimbursement, parental leave benefits, family services, employee networking and social events, and a lunch allowance for use within our subsidized onsite canteen.

You will be expected to understand and abide by the regulatory obligations of the firm and comply with all applicable policies.

Experience
- Solid grasp of security engineering fundamentals and familiarity with common attack vectors and defence techniques
- Proven ability to build and deploy automation using code, APIs, and orchestration tools (e.g., Python, workflow engines, SOAR platforms)
- Practical experience with AI/LLM systems and automation, including prompt engineering, retrieval augmented generation (RAG), function-calling, or agent-based tools
- Skilled at integrating security logs, AI models, and platform components into cohesive pipelines
- Effective communicator and collaborator, able to prioritise security risks based on business impact
- Demonstrated initiative, ownership, and adaptability in fast-paced, evolving environments
- Ability to work with senior stakeholders across infrastructure, engineering, and risk to translate AI risks into actionable controls and standards
- Experience leading design reviews, threat modelling, and targeted implementation for critical AI initiatives

About you
- Strong initiative and ownership mindset with adaptability to evolving environments
- Collaborative and effective communicator able to engage with senior stakeholders
- Passionate about AI and cybersecurity with a focus on business impact and responsible practices

Qualifications
While specific qualifications are not detailed, candidates should have relevant experience and skills in security engineering, AI systems, and automation. Commitment to understanding regulatory obligations and adherence to firm policies is required.

Nice to Have Skills
- Experience with vulnerability management or risk-based threat prioritisation
- Knowledge of securing AI agents or agentic workflows, including scoped permissions and approval processes
- Ability to identify and mitigate AI-specific security risks such as prompt injection, model hijacking, data leakage from LLM outputs, or configuration drift caused by AI assistants
- Ability to automate response workflows, enrich incident data, and assist with triage
- Awareness of frameworks like NIST AI RMF, OWASP for GenAI, or MITRE ATLAS
- Experience mentoring security engineers on AI-related security challenges based on existing and emerging AI risks

Supervisory Responsibilities
No supervisory responsibilities

Potential for Growth
Mentoring, leadership development programs, regular training, career development services, and continuing education courses