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Senior Technical Consultant - Forward Deployed AI Security Engineer

AHEAD· Security Delivery
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GurugramFull-timePosted 3w ago

About the role

Forward Deployed AI Security Engineer focused on deploying and operationalizing AI security controls in customer environments, performing AI runtime assessments, integrating security tools, and driving customer outcomes with precise communication and hands-on expertise.

Responsibilities

  • Perform AI runtime assessments. Inventory AI applications, models, agents, copilots, MCP servers, plugins, and data flows. Evaluate prompt/response paths, tool-calling behavior, identity chains, and attack surface. Produce scored findings covering prompt injection, jailbreaks, data leakage, model and agent misuse, shadow AI, and unsafe autonomous actions.
  • Deploy and operationalize AI security tools. Stand up, integrate, and harden Palo Alto Prisma AIRS (runtime firewall, API intercept, model security, agent security, red teaming, posture), Koi Agentic Endpoint Security, Onyx Secure AI Control Plane / Guardian Agent, Zenity (observability, AISPM, exposure management, runtime boundaries), Zscaler AI Security (AI Guard, asset management, zero-trust access to GenAI), and CrowdStrike Falcon AIDR and related Falcon modules.
  • Design the control plane. Map traffic through AI gateways, inline intercepts, endpoint agents, SaaS connectors, and identity providers. Define allow/block/human-in-the-loop policies for prompts, tool use, MCP calls, package and extension installs, and agent actions.
  • Integrate with the existing stack. Wire AI security telemetry into SIEM/SOAR, EDR/XDR, SSE/Zero Trust, IAM, CSPM, and ticketing. Correlate AI events with endpoint, identity, and network signals so detections are actionable, not noisy.
  • Red team and validate. Run adversarial testing against LLMs, agents, and copilots. Convert findings into enforceable guardrails. Re-test after deployment and prove residual risk is accepted or closed.
  • Own customer outcomes. Embed with the account. Drive architecture workshops, implementation sprints, policy workshops, and knowledge transfer. Leave behind runbooks, detection content, and an operating model the customer can run without you.
  • Communicate with precision. Write assessment reports, risk memos, architecture decision records, and board-ready summaries. Brief CISOs, AI platform owners, legal/privacy, and engineers in clear, idiomatic English. Escalate risk without inflating it.
  • Feed product and practice. Return field patterns, integration gaps, and detection ideas to product, threat research, and delivery teams. Help standardize playbooks for repeatable AI security deployments.

Qualifications

  • Exceptional written and spoken English. You can write a 20-page technical assessment, a one-page CISO brief, and a customer email with equal clarity. Grammar, tone, structure, and technical precision are non-negotiable.
  • Hands-on deployment experience with multiple platforms in production: Palo Alto Prisma AIRS, Koi Agentic Endpoint Security, Onyx Security, Zenity, Zscaler AI Security, and CrowdStrike (Falcon AIDR, Falcon XDR/NG-SIEM, or adjacent Falcon modules).
  • Demonstrated ability to perform AI runtime assessments: discovering AI assets, inspecting prompt and tool-call traffic, identifying prompt injection / jailbreak / data-exfiltration / agent-abuse paths, and translating findings into controls.
  • 5+ years in cybersecurity engineering, security architecture, or technical consulting, with at least 2 years focused on cloud, application, or AI/LLM security.
  • Working fluency with modern AI architecture: LLMs and SLMs, RAG, agents and multi-agent systems, MCP servers and tools, copilots (e.g., Microsoft 365 Copilot, GitHub Copilot, Cursor, Claude Code), model gateways, and common cloud AI platforms (AWS Bedrock, Azure AI Foundry / OpenAI, Google Vertex AI).
  • Strong integration skills across identity (Okta, Entra ID), endpoints, network/SSE, APIs, Kubernetes or container platforms, and logging pipelines.
  • Ability to operate independently on-site: debug failed connectors, certificates, proxies, agents, and policy conflicts without waiting for a back-office engineer.
  • Willingness to travel extensively and embed with customers for multi-day or multi-week deployments.
  • Bachelor’s degree in Computer Science, Cybersecurity, Engineering, or equivalent practical experience.

Skills

Required:English communication (technical and executive)AI runtime assessmentPlatform deployment and integration

Benefits

  • Comprehensive health insurance coverage for employees, with options to extend coverage to dependents
  • Paid time off and company holidays, plus additional leave benefits as per policy
  • Flexible work arrangements, supporting work-life balance
  • Learning and development opportunities for continuous growth and upskilling
  • Employee wellness initiatives focused on physical and mental well-being
  • Retirement and statutory benefits in line with India regulations
  • Inclusive and people-first culture with collaboration and ownership
Last updated Oct 21, 2026. Interested? Apply on the company site.
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Digital Platforms Engineered for Modern Enterprises

AHEAD accelerates the impact of technology on clients by engineering customized data, developer, and infrastructure platforms that improve IT operations.

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