Senior Technical Consultant – AI Security

🔥 1 hour ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

👻 Ghost score 11%

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AHEAD

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🤖 Artificial Intelligence

🏢 Enterprise

💰 $5.7M Venture Round - AHEAD on 2024-05

Consulting • Artificial Intelligence • Enterprise

AHEAD is a technology consulting and systems-integration firm that accelerates digital transformation by engineering integrated solutions across infrastructure, applications, data, and security. The company specializes in AI transformation and AI-enabled infrastructure, data platform and platform/workload modernization, secure and resilient architectures, operational excellence, and managed services including IT lifecycle and procurement (AHEAD Hatch) and hardware integration (AHEAD Foundry). AHEAD delivers end-to-end services from strategy and financial consulting to build and run operations, partners with major cloud and infrastructure vendors (AWS, Google Cloud, Microsoft, Cisco, Dell, VMware, NVIDIA, ServiceNow, Palo Alto Networks, Rubrik, etc. ), and serves enterprise clients across industries such as healthcare, financial services, manufacturing, retail, and public sector.

📋 Description

• Deploy, integrate, and operationalize AI security capabilities in customer and enterprise environments • Develop technical proposals, statements of work, and solution architectures for AI security engagements • Translate business, operational, and AI security requirements into deployable architectures and implementation plans • Partner with internal and external stakeholders to align solutions with AI governance, compliance requirements, and platform strategy • 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, 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 assets • Operationalize security controls and guardrails for AI systems, 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 secure and governed automation for AI security monitoring, investigation, and response • Support resiliency, observability, performance, and scale requirements • Troubleshoot integration issues, deployment blockers, and production challenges • Improve reliability and maintainability through documentation, testing, monitoring, and standardized engineering practices • Collaborate across AI Engineering, Security Engineering, Data Science, Infrastructure, Sales, and product or customer teams • Communicate technical concepts to technical and non-technical stakeholders • Mentor engineers and consultants and contribute to AI security implementation and solution design best practices • Provide field feedback to influence platform roadmap, product direction, and architectural standards

🎯 Requirements

• 7+ 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 • 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 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

🏖️ Benefits

• 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 • Sponsored certifications and credentials for continued learning • Access to top-notch technologies in a multi-million-dollar lab

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