?

Senior

Consultant ?

AI Security Position Title: Senior Consultant ?

AI Security Location: Flexible / Hybrid Experience 8?15 years of experience in Cybersecurity, security architecture, or consulting ,with at least 2?3 years of experience in AI/ML Security, Cloud Security, or emerging technology security domains.

Role Summary We are seeking an experienced Senior Consultant ? AI Security to support the design, implementation, and operationalization of security capabilities for enterprise AI initiatives. This role requires a combination of strategic advisory expertise and hands-on technical capability to establish, deploy, and mature security controls across the AI lifecycle.

The successful candidate will work closely with business stakeholders, AI engineering teams, security operations, governance teams, and enterprise architects to ensure that AI platforms, models, and supporting infrastructure are secure, compliant, and resilient. This role demands expertise in AI security frameworks, cloud security, governance, risk management, threat modelling, and security engineering for emerging AI technologies.

Key Responsibilities Strategic & Advisory Responsibilities Provide strategic guidance on enterprise AI security architecture, governance, and risk management.

Develop and implement AI security strategies, roadmaps, standards, and operating models.

Define security controls and guardrails for AI/ML platforms, GenAI applications, and agentic AI systems.

Conduct AI risk assessments and advise on secure adoption of AI technologies.

Align AI security initiatives with organizational cybersecurity strategy, regulatory requirements, and industry best practices.

Support the establishment of AI governance frameworks, policies, and control libraries.

Collaborate with enterprise architects, legal, compliance, privacy, and risk teams.



Technical & Hands-on Responsibilities Design and implement security controls across the AI/ML lifecycle, including:

Data ingestion and preprocessing

Model training and validation

Model deployment and inference

Monitoring and model lifecycle management

Perform threat modelling and security architecture reviews for AI systems and applications.

Knowledge on AI-specific threats, including:

Prompt injection attacks

Data poisoning

Model theft and extraction

Adversarial attacks

Supply chain attacks

Model inversion and privacy leakage

Jailbreaking attacks

Participate in security assessments for AI environments.

Develop security requirements for AI platforms hosted in cloud environments.

Support implementation of secure MLOps and DevSecOps practices.

Operational Responsibilities Collaborate with SOC, Incident Response, Threat Intelligence, and Threat Hunting teams to establish AI threat detection capabilities.

Define use cases, detection rules, and monitoring frameworks for AI-related threats.

Support incident response investigations involving AI systems and models.

Conduct security awareness and technical training sessions related to AI security.

Required Qualifications Bachelor?s degree in computer science, Cybersecurity, Information Security, or related field.

Experience supporting enterprise AI, ML, or GenAI deployments.

Strong understanding of

AI/ML architectures and workflows





Generative AI and Large Language Models (LLMs)

Cloud security architectures (AWS, Azure, GCP)

Security architecture and threat modelling

Identity and Access Management (IAM)

Data security and privacy controls

Secure software development lifecycle (SSDLC)

Hands-on experience with security assessments and implementation of security controls.

Preferred Technical Skills AI Security frameworks and standards:

OWASP Top 10 for LLM Applications

NIST AI Risk Management Framework (AI RMF)

MITRE ATLAS Framework

Experience with

LLM security testing

AI red teaming

Model governance

Secure MLOps platforms

Container and Kubernetes security

API security

Data Loss Prevention (DLP)

Security technologies

SIEM platforms

EDR/XDR solutions

CSPM/CNAPP tools

Vulnerability management platforms

Secrets management solutions

Preferred Certifications CISSP

CCSP

CISM

GIAC certifications

Cloud security certifications (AWS, Azure, GCP)

AI Security certifications (if applicable)

Security architecture certifications Key Competencies Strategic thinking and advisory capability

Robust stakeholder management

Excellent communication and presentation skills

Security architecture and engineering expertise

Problem-solving and analytical mindset

Ability to operate both strategically and hands-on

Experience working in cross-functional enterprise environments Success Criteria The Successful Candidate Will Establish robust security controls for enterprise AI deployments.

Implement practical AI security capabilities and operational processes.

Enable secure adoption of GenAI and AI platforms.

Improve organizational resilience against emerging AI threats.

Build sustainable AI governance, monitoring, and security practices. AI Automation, Strategic Planning

📌 SENIOR ARCHITECT - AI Automation (Bengaluru)
🏢 Happiest Minds Technologies
📍 Bengaluru