Senior Consultant, Advisory

3 days ago

Kallang, Singapore KBR Full time

**Title**:
Senior Consultant, Advisory & Consulting - Digital & Security

Reporting to the General Manager, the individual will work within the Global Advisory & Consulting team, in close collaboration with the organization’s vast engineering, technology, and scientific resource base.

**Responsibilities**:

- Lead cybersecurity and AI/ML consulting engagements for defense, intelligence, and critical infrastructure clients
- Assess vulnerabilities in AI-enabled defense platforms, autonomous systems, and mission-critical networks
- Support developments in AI governance, cyber resilience strategies, and compliance with industry recognised standards
- Integrate AI security frameworks (e.g., NIST AI RMF, ISO/IEC 23894) into system design and operational workflows
- Evaluate risks in neural networks, deep learning, and reinforcement learning models used in sensitive environments
- Provide technical guidance on secure deployment of AI platforms in hybrid cloud, edge, and embedded environments
- Ability to conduct technical due diligence for M&A, infrastructure and energy transition type projects an advantage
- Assess cyber-physical risks in offshore, nearshore, and terrestrial energy systems
- Deliver bespoke consulting solutions by coordinating with cross-functional teams across cybersecurity, engineering, and data science
- Support secure integration of sustainable fuels, gas infrastructure, and digital control systems
- Lead and mentor technical teams in high-stakes, interdisciplinary environments
- Communicate complex technical concepts to defense and security stakeholders, policymakers, and non-technical audiences
- Collaborate with government, military, and industry partners to align cybersecurity and AI strategies with national priorities
- Drive project execution and ensure delivery of secure, scalable, and mission-aligned solutions

**Job Requirements**:

- Bachelor’s Degree in Computer Science, Engineering, Cybersecurity, or a related field. Post graduate degrees a plus.
- Relevant certifications such as CISSP, CISM, OSCP, or CRT; advanced credentials like CCT, CCSAS, or CCSAM are highly desirable.
- Familiarity with AI security frameworks and standards (e.g., NIST AI RMF, ISO/IEC 23894, OWASP ML Top 10) an advantage
- 5-8 years of hands-on experience in cybersecurity operations, AI/ML security
- Operational Technology (OT) engineering, operations, and cybersecurity
- Deep understanding of AI/ML technologies, including neural networks, deep learning, and reinforcement learning.
- Strong knowledge of software development, system architecture, and network architecture.
- Familiarity with security testing methodologies, penetration testing, and adversary simulation.
- Passionate about cybersecurity and AI, with a curious, hands-on mindset and eagerness to explore vulnerabilities across diverse technologies.
- Proven track record in leading and mentoring technical teams and working in cross-functional, interdisciplinary environments.
- Excellent analytical, conceptualization, and problem-solving skills.
- Strong communication and interpersonal abilities, capable of translating complex technical concepts for both technical and non-technical stakeholders.
- Well-versed in security principles, policies, industry standards, and best practices.

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