Senior Technical Consultant – AI Security

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

📋 Description

• Implement, integrate, and operationalize AI security solutions within customer and enterprise settings.

• Create technical proposals, statements of work, and solution architectures for AI security projects.

• Convert business, operational, and AI security specifications into actionable architectures and implementation strategies.

• Collaborate with both internal and external stakeholders to ensure alignment of solutions with AI governance, compliance needs, and platform strategy.

• 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 enhancement pipelines for AI telemetry, model activity logs, and prompt/response data.

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

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

• Establish operational security controls and safeguard measures for AI systems, including defenses against prompt injection, model access controls, data leakage prevention, and monitoring of agentic workflows.

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

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

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

• Support requirements for resilience, observability, performance, and scalability.

• Troubleshoot integration challenges, deployment obstacles, and production issues.

• Enhance reliability and maintainability through thorough documentation, testing, monitoring, and standardized engineering methodologies.

• Collaborate across AI Engineering, Security Engineering, Data Science, Infrastructure, Sales, and product or customer teams.

• Convey technical concepts to both technical and non-technical audiences.

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

• Provide field insights to shape platform roadmap, product direction, and architectural standards.

⛳️ Requirements

• Over 7 years of experience in security engineering, AI engineering, platform engineering, forward deployed engineering, solutions consulting, or related technical roles, with a proven track record of advancing to a principal or senior consulting level.

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

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

• Solid background in data integration, telemetry pipelines, normalization, and security analytics workflows pertinent to AI systems.

• Experience engaging directly with customers, executive stakeholders, or cross-functional delivery teams in implementation-centric environments.

• Proven ability to develop technical proposals, statements of work, and scoping documents for client engagements.

• Strong grasp of AI security vulnerabilities, including prompt injection, model theft, data poisoning, adversarial attacks, and agentic AI risks, along with foundational knowledge in cloud, identity, and endpoint security.

• Experience with scripting and automation utilizing tools like Python, PowerShell, or Bash.

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

• Working knowledge of LLMs, vector search, retrieval-augmented generation, model assessment, and AI assistants or agents.

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

🏝️ Benefits

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

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

• Flexible work arrangements to promote work-life balance.

• Learning and development opportunities to facilitate continuous growth and skill enhancement.

• Employee wellness initiatives and programs aimed at both physical and mental well-being.

• Retirement and statutory benefits in accordance with Indian regulations.

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

• Cross-department training and development opportunities.

• Sponsored certifications and credentials for ongoing learning.

• Access to advanced technologies within a multi-million-dollar lab.