Principal Technical Consultant – AI Security

This is a fully remote position, open to applicants in India.

📋 Description

• Act as the senior technical authority for the deployment and operationalization of AI security solutions in customer or enterprise environments.

• Create technical proposals, statements of work, and solution architectures for AI security initiatives and business development.

• Convert business, operational, and AI security needs into implementable architectures and execution plans.

• Collaborate with internal and external stakeholders regarding AI governance, compliance standards, and platform strategy.

• Serve as a reliable technical contact throughout the onboarding, implementation, rollout, and optimization processes.

• Design and execute integrations across AI platforms, model registries, LLM gateways, vector databases, and AI-driven security tools.

• Construct and set up cloud-native data ingestion, normalization, and enrichment pipelines for AI telemetry and model activity data.

• Integrate APIs, webhooks, message queues, and automation workflows within AI operations, identity, cloud, and application ecosystems.

• Create reusable deployment patterns, templates, and technical resources.

• Implement AI security controls and guardrails, including defenses against prompt injection, model access restrictions, data leakage prevention, and agentic workflow monitoring.

• Secure non-human identities such as service accounts, API keys, tokens, and credentials for autonomous agents.

• Carry out red teaming, adversarial testing, model risk scoring, and anomaly detection for AI systems.

• Establish governed automation for AI security monitoring, investigation, and response.

• Ensure resiliency, observability, performance, and scalability of deployed solutions.

• Address integration problems, deployment hindrances, and production issues.

• Enhance reliability through comprehensive documentation, testing, monitoring, and standardized engineering practices.

• Work in collaboration with AI Engineering, Security Engineering, Data Science, Infrastructure, Sales, product, and customer teams.

• Convey technical concepts effectively to both technical and non-technical audiences, including executives.

• Mentor engineers and consultants while contributing to best practices in implementation and solution design.

• Provide field insights to shape platform roadmaps and product direction.

• Assist with pre-sales tasks, proposal creation, and client presentations.

⛳️ Requirements

• Over 10 years of experience in security engineering, AI engineering, platform engineering, forward-deployed engineering, solutions consulting, or similar technical roles, with demonstrated advancement to a principal or senior consulting level.

• Practical experience in securing AI systems, LLM applications, or AI production pipelines.

• Experience deploying cloud-native architectures on at least one leading cloud provider such as AWS, Azure, or GCP.

• Strong expertise in data integration, telemetry pipelines, normalization, and security analytics processes applied to AI systems.

• Experience collaborating directly with customers, executive stakeholders, or cross-functional delivery teams in implementation-driven settings.

• Proven track record in developing technical proposals, statements of work, and scoping documents for client engagements.

• Ability to lead technical initiatives, drive execution, and influence results without direct authority.

• Demonstrated capability to facilitate collaboration across engineering, security, data science, and business stakeholders.

• Solid understanding of AI security threats, including prompt injection, model theft, data poisoning, adversarial attacks, and risks associated with agentic AI, along with foundational knowledge of cloud, identity, and endpoint security.

• Experience with scripting and automation using languages such as Python, PowerShell, or Bash.

• Familiarity with APIs and integration patterns, including REST, webhooks, and event-driven workflows.

• Working knowledge of AI concepts such as LLMs, vector search, retrieval-augmented generation, model evaluation, and AI assistants or agents.

• Bachelor’s degree in computer science, Information Security, Engineering, or equivalent practical experience.

• Preferred: experience with OpenAI models, Anthropic models, AI red teaming, adversarial AI testing, AI governance frameworks, MITRE ATLAS, regulated environments, infrastructure as code, CI/CD, reusable implementation frameworks, and relevant certifications.

🏝️ Benefits

• Comprehensive health insurance coverage for employees, with options available for dependents.

• Paid time off and company holidays, along with additional leave benefits as per policy.

• Flexible working arrangements to promote a healthy work-life balance.

• Opportunities for learning and development to support continuous growth and skill enhancement.

• Employee wellness initiatives and programs focused on both physical and mental well-being.

• Retirement and statutory benefits in accordance with India regulations.

• An inclusive, people-first culture that emphasizes collaboration and ownership.

• Cross-department training and development opportunities.

• Sponsorship for certifications and credentials to facilitate ongoing learning.