Senior Technical Consultant - Forward Deployed AI Security Engineer

AHEAD; United States; Remoto; USD 140.000 - 230.000; Tempo pieno

Descrizione del lavoro

AHEAD is seeking a Forward-Deployed AI Security Engineer to work directly with client environments, implementing runtime AI security and guardrails. You will install, configure, and defend a suite of AI security tools, design policy-driven controls, and ensure clear executive communications.

The role requires extensive travel, strong English communication, and hands-on cloud and AI security expertise. You will collaborate with security, platform, and AI engineering teams to operationalize

Competenze

• Excellent written and spoken English with ability to briefing executives.
• Hands-on deployment experience with listed security platforms in production.
• 5+ years in cybersecurity engineering, security architecture, or technical consulting.

Mansioni

• Perform AI runtime assessments: inventory AI assets, evaluate prompt/tool traffic, identify attack paths and translate findings into controls.
• Deploy and operationalize AI security tools across runtime environments and integrate with existing stacks.
• Design the AI control plane: map traffic, define policies for prompts, tool use, MCP calls, and agent actions.
• Integrate with SIEM/XDR, IAM, and other security tooling to enable actionable detections without noise.
• Red team AI systems, validate guardrails, and perform re-tests post-deployment to close gaps.

Conoscenze

English proficiency

AI security

Cloud security

Security assessment

Technical briefing

Formazione

Bachelor’s degree in CS/Cybersecurity/Engineering

Strumenti

Palo Alto Prisma AIRS

Koi Agentic Endpoint Security

Onyx Security

Zenity

Zscaler AI Security

CrowdStrike Falcon AIDR

Descrizione del lavoro

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.

AtAHEAD, we prioritize creating a culture of belonging,where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.

We are an equal opportunity employer,anddo not discriminatebased onan individual’s race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, maritalstatus,or any other protected characteristic under applicable law, whether actual or perceived.

_ We embraceall candidatesthatwillcontribute to the diversification and enrichment of ideas andperspectives atAHEAD. _

The Forward Deployed AI Security Engineer is a customer-facing technical operator who lives inside client environments, not behind a ticket queue. You will sit with security, platform, and AI engineering teams to assess how generative and agentic systems actually behave at runtime, then design, deploy, tune, and operationalize AI security controls that hold up under production load.

You will install, configure, integrate, and defend tools in live estates: Palo Alto Prisma AIRS, Koi Agentic Endpoint Security, Onyx, Zenity, Zscaler AI Security, and CrowdStrike Falcon AIDR. You will write the findings, brief executives, train operators, and stay until the control plane is working — not until the workshop ends.

Because you represent the company in high-stakes rooms, written and spoken English must be exceptional. You will produce assessment reports, architecture decisions, runbooks, and executive briefings that are precise, defensible, and free of ambiguity.

What You Will Do

• 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.

Required 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. Candidates will be evaluated on writing samples and live briefing quality.
• Hands-on deployment experience with multiple of the following platforms in production or customer environments: 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 used to secure AI runtime).
• 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.

Preferred Qualifications

• Prior forward-deployed, professional-services, or resident-engineer experience (Palantir-style FDE, vendor PS, or Big Four cyber delivery).
• Vendor certifications or deep product credentials in Palo Alto Networks, Zscaler, CrowdStrike, or adjacent SSE/XDR platforms.
• Experience with AI red teaming methodologies, OWASP Top 10 for LLM Applications, OWASP Top 10 for Agentic Applications, MITRE ATLAS, and NIST AI RMF.
• Scripting and automation in Python and one of Bash, PowerShell, or Go. Comfort reading application and infrastructure-as-code.
• Familiarity with DLP, DSPM, secrets detection, model scanning, and software supply-chain controls as they apply to AI artifacts (models, packages, extensions, MCP servers).
• Experience in regulated industries (financial services, healthcare, government) where AI use must be auditable.
• Public speaking, workshop facilitation, or published technical writing on AI security.

Core Tooling You Will Deploy and Operate

• Palo Alto Prisma AIRS: AI runtime security (network and API intercept), model security, agent security, AI red teaming, posture management, and AI gateway controls.
• Koi Agentic Endpoint Security: Discovery and risk scoring of endpoint-resident AI software, packages, extensions, local models, agents, and MCP servers; install governance and session-aware AIDR.
• Onyx: Secure AI control plane — continuous AI asset discovery, session capture, identity-aware attribution, and Guardian Agent enforcement (allow, redirect, require approval, or block).
• Zenity: AI agent observability, AI security posture management (AISPM), exposure management, runtime boundaries, and coverage across SaaS copilots, custom agents, and coding agents.
• Zscaler: Zero Trust access to GenAI, AI asset management, AI Guard runtime inspection of prompts and responses, and correlation of AI-event telemetry with the Zero Trust Exchange.
• CrowdStrike: Falcon AIDR for runtime detection and response across endpoint, SaaS, and cloud AI use; integration with Falcon XDR / Next-Gen SIEM for investigation and automated response.

Why AHEAD:

Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.

We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.

India Employment Benefits include:

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