Principal Technical Consultant – AI Security

AHEAD

. Serve as the senior technical lead for deploying and operationalizing AI security solutions in customer or enterprise environments .

Posted 11/10/2026full-timeRemote • IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in deploying and operationalizing AI security solutions, with a strong focus on cloud-native architectures, data integration, and AI governance. Proven ability to lead technical engagements and collaborate across diverse teams to ensure security and compliance in AI systems.

Highest-signal resume keywords

AI Security Solutions DeploymentCloud-Native Architecture ImplementationData Integration and Telemetry PipelinesTechnical Proposal DevelopmentCross-Team Collaboration

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI Security EngineeringCloud Architecture (AWS, Azure, GCP)Data NormalizationScripting (Python, PowerShell, Bash)Integration Patterns (REST, Webhooks)Adversarial TestingModel Risk ScoringAutomation WorkflowsAI Concepts (LLMs, Vector Search)Security Analytics Workflows

Soft Skills

Technical CommunicationMentoringInfluencing OutcomesCollaborationCustomer Engagement

Tools & Technologies

AI PlatformsModel RegistriesVector DatabasesAI-Enabled Security ToolingAutomation Tools

Industry Keywords

AI GovernanceCompliance RequirementsSecurity AnalyticsRegulated EnvironmentsInfrastructure as Code

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Serve as the senior technical lead for deploying and operationalizing AI security solutions in customer or enterprise environments
Develop technical proposals, statements of work, and solution architectures for AI security engagements and business development
Translate business, operational, and AI security requirements into deployable architectures and implementation plans
Partner with internal and external stakeholders on AI governance, compliance requirements, and platform strategy
Act as a trusted technical point of contact during onboarding, implementation, rollout, and optimization
Design and implement integrations across AI platforms, model registries, LLM gateways, vector databases, and AI-enabled security tooling
Build and configure cloud-native data ingestion, normalization, and enrichment pipelines for AI telemetry and model activity data
Integrate APIs, webhooks, message queues, and automation workflows across AI operations, identity, cloud, and application ecosystems
Develop reusable deployment patterns, templates, and technical assets
Operationalize AI security controls and guardrails, including prompt injection defense, model access controls, data leakage prevention, and agentic workflow monitoring
Secure non-human identities, including service accounts, API keys, tokens, and autonomous agent credentials
Implement red teaming, adversarial testing, model risk scoring, and anomaly detection for AI systems
Implement governed automation for AI security monitoring, investigation, and response
Support resiliency, observability, performance, and scale of deployed solutions
Troubleshoot integration issues, deployment blockers, and production challenges
Improve reliability through documentation, testing, monitoring, and standardized engineering practices
Collaborate with AI Engineering, Security Engineering, Data Science, Infrastructure, Sales, product, and customer teams
Communicate technical concepts to technical, non-technical, and executive audiences
Mentor engineers and consultants and contribute to implementation and solution-design best practices
Provide field feedback to influence platform roadmap and product direction
Support pre-sales activities, proposal development, and client presentations

Requirements

What you’ll need

10+ years of experience in security engineering, AI engineering, platform engineering, forward deployed engineering, solutions consulting, or related technical roles, with demonstrated progression to a principal or senior consulting level
Hands-on experience securing AI systems, LLM applications, or AI production pipelines
Experience deploying cloud-native architectures on at least one major cloud provider such as AWS, Azure, or GCP
Strong background in data integration, telemetry pipelines, normalization, and security analytics workflows applied to AI systems
Experience working directly with customers, executive stakeholders, or cross-functional delivery teams in implementation-focused environments
Proven experience developing technical proposals, statements of work, and scoping documents for customer engagements
Ability to lead technical engagements, drive execution, and influence outcomes without direct authority
Demonstrated ability to enable cross-team collaboration across engineering, security, data science, and business stakeholders
Strong understanding of AI security risks, including prompt injection, model theft, data poisoning, adversarial attacks, and agentic AI risks, alongside foundational cloud, identity, and endpoint security
Experience with scripting and automation using tools such as Python, PowerShell, or Bash
Familiarity with APIs and integration patterns including REST, webhooks, and event-driven workflows
Working knowledge of AI concepts including 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

Comp & perks

Comprehensive health insurance coverage for employees, with options to extend coverage to dependents
Paid time off and company holidays, along with additional leave benefits as per policy
Flexible work arrangements, supporting work-life balance
Learning and development opportunities to support continuous growth and upskilling
Employee wellness initiatives and programs focused on physical and mental well-being
Retirement and statutory benefits in line with India regulations
Inclusive and people-first culture, with a strong focus on collaboration and ownership
Cross department training and development
Sponsoring certifications and credentials for continued learning