Senior AI Security & Governance Engineer_Remote
VGreen Technology Solutions (VGreenTEK) · Bengaluru, Karnataka, India
- Hybrid
- Contract
- $150,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Build AI safety and governance controls for enterprise systems.
- Implement runtime enforcement for LLM and agent-based systems.
- Embed security and risk controls directly into AI workflows.
- Collaborate on secure AI deployments in production environments.
- Requires strong Python, scripting, and AI risk understanding.
About the role
About the Role
We are hiring a Senior AI Security & Governance Engineer to build and enforce runtime-level AI safety and governance controls across enterprise AI systems. This is a high-impact engineering role, focused on embedding security, guardrails, and risk controls directly into AI workflows — not policy documentation. You will help ensure safe, compliant, and production-ready AI deployments while enabling innovation at scale.
Role Summary
You will design and implement AI guardrails, risk mitigation strategies, and runtime enforcement mechanisms for agent-based and LLM-powered systems. The ideal candidate combines strong engineering skills with deep understanding of AI risks and enterprise governance.
Key Responsibilities
- Design and implement AI safety controls, including:
- Prompt filtering and sanitization
- Output validation and moderation
- Misuse and abuse prevention mechanisms
- Embed AI governance through code, automation, and system design
- Build auditability, traceability, and monitoring frameworks for AI systems
- Define and standardize security and safety patterns across AI agents and workflows
- Identify and mitigate AI risk scenarios and failure modes (e.g., prompt injection, hallucinations, data leakage)
- Collaborate with engineering and security teams to ensure secure AI deployments in production
Must-Have Skills
- Strong proficiency in Python / scripting
- Hands-on experience with:
- Security, governance, or risk management systems
- Policy-as-code frameworks / rule engines
- Solid understanding of:
- AI/LLM risks - hallucinations, prompt injection, data leakage
- Enterprise security and compliance principles
- Experience implementing runtime controls and guardrails in production systems
Good to Have
- Experience with IAM / governance tools (Saviynt, ServiceNow, approval workflows)
- Familiarity with Responsible AI frameworks / Model Risk Management
- Exposure to AI/ML systems or LLM-based applications
Education
Bachelor’s degree in Computer Science, Information Technology, or related field
What We’re Looking For
- Strong risk mindset with engineering depth (not just policy-focused)
- Ability to balance innovation with security and compliance
- Hands-on, ownership-driven professional who can build and scale AI safeguards
Key skills/competency
- AI Security
- AI Governance
- Python
- Scripting
- Risk Management
- Policy as Code
- Prompt Injection
- LLM
- Enterprise Security
- Runtime Controls
Skills & topics
- AI Security Engineer
- AI Governance
- Python
- Scripting
- Risk Management
- Policy as Code
- LLM Security
- Prompt Injection
- Enterprise Security
- Runtime Controls
- AI Safety
- Compliance
- Remote Job
How to get hired
- Tailor your resume: Highlight Python, scripting, AI security, and governance experience.
- Showcase practical AI risk mitigation: Detail experience with prompt injection and LLM safety.
- Emphasize policy-as-code: Demonstrate your ability to implement controls through code.
- Prepare for technical interviews: Be ready to discuss runtime controls and enterprise security principles.
Technical preparation
Practice Python scripting for security automation.,Implement mock policy-as-code rules.,Simulate LLM risk scenarios (injection, leakage).,Understand production AI system monitoring.
Behavioral questions
Describe a complex AI risk you mitigated.,How do you balance innovation with security?,Share an experience driving security through code.,How do you approach ownership in engineering?
Frequently asked questions
- What is the primary focus of the Senior AI Security & Governance Engineer role at VGreen Technology Solutions?
- The Senior AI Security & Governance Engineer at VGreen Technology Solutions focuses on building and enforcing runtime-level AI safety and governance controls directly within enterprise AI systems, ensuring secure and compliant AI deployments.
- Is this a remote position, and are there any in-office requirements for the Senior AI Security & Governance Engineer?
- Yes, this is a remote position. However, the first week requires an in-office presence at either the Trivandrum or Kochi office for onboarding.
- What are the core technical skills required for the Senior AI Security & Governance Engineer at VGreenTEK?
- Strong proficiency in Python/scripting is essential, along with hands-on experience in security, governance, or risk management systems, and policy-as-code frameworks. A solid understanding of AI/LLM risks like prompt injection and data leakage is also critical.
- What kind of AI risks will the Senior AI Security & Governance Engineer be addressing?
- The role involves identifying and mitigating AI risks such as prompt injection, hallucinations, and data leakage, ensuring the safe and compliant operation of AI systems.
- Does VGreen Technology Solutions prefer candidates with policy-focused experience or hands-on engineering for this role?
- VGreen Technology Solutions specifically looks for candidates with a strong risk mindset and engineering depth, emphasizing hands-on experience in building and scaling AI safeguards rather than solely policy documentation.
- What are the working hours for the Senior AI Security & Governance Engineer?
- The working hours for this role are from 02:00 PM to 11:00 PM IST.
- What educational background is preferred for the Senior AI Security & Governance Engineer position?
- A Bachelor's degree in Computer Science, Information Technology, or a related field is preferred for this position.