> Do you love a career where you Experience, Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you.
>
>
> Learn how we are redefining the meaning of work , and be a part of the team raved by Clients, Job-seekers and Employees.
>
>
> - Jobseeker Video Testimonials
>
> - Employee Glassdoor Reviews
>
>
> If you are a AppSec & AI Security Manager with 8+ Yrs looking for excitement, challenge and stability in your work, then you would be glad to come across this page.
>
>
> We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long-term project. Here are a few details.
>
>
> Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution.
>
>
> Role: AppSec & AI Security Manager
>
>
> Location: Hyderabad, Banagalore,Chennai,Pune,Gurgaon/New Delhi,Kolkata,Mumbai
>
>
> Experience: 8 to 12 years
>
>
> Position Summary
>
>
> We are seeking an AppSec & AI Security Architect to lead and deliver security architecture
>
>
> reviews and secure-by-design outcomes across modern applications, cloud-native platforms,
>
>
> APIs, third-party integrations, and AI-enabled systems. This role combines deep technical
>
>
> expertise with delivery leadership—overseeing teams and engaging senior client stakeholders.
>
>
> For LLM, RAG, copilot, bot, and agentic systems, you will evaluate and mitigate risks such as
>
>
> prompt injection, sensitive data disclosure, insecure tool/function calling, excessive
>
>
> agency/permissions, insecure output handling, model and dependency supply-chain risks,
>
>
> training/fine-tuning data leakage, and vector database/embedding store weaknesses, and
>
>
> drive adoption of practical guardrails and governance.
>
>
> As an AppSec & AI Security Manager, you will:
>
>
> ∙Architect and oversee the build of AI agents and agentic workflows for security
>
>




> automation (e.g., AppSec triage agents, security copilots, autonomous remediation
>
>
> workflows, AI red-team automation).
>
>
> ∙Lead end-to-end delivery of AppSec, DevSecOps, and AI Security (AISecOps)
>
>
> engagements—managing onshore/offshore engineers and architects across the lifecycle
>
>
> (assess, design, implement, operate).
>
>
> ∙Define and drive adoption of secure-by-design architectures for up-to-date applications,
>
>
> cloud-native platforms, and AI/agentic systems; establish reference architectures and
>
>
> reusable patterns.
>
>
> ∙Review and approve security architecture for systems spanning microservices, APIs,
>
>
> distributed platforms, and AI/RAG/agentic solutions, including data flows, trust
>
>
> boundaries, secrets, encryption, and third-party dependencies.
>
>
> ∙Establish reusable patterns for CI/CD pipeline security, policy-as-code, IaC scanning,
>
>
> and software/artifact integrity (e.g., SBOM and ML-BOM workflows), aligned to secure
>
>
> SDLC goals.
>
>
> ∙Establish and assess container/Kubernetes security patterns (admission control, multi-
>
>
> tenant isolation, runtime protection) and supply-chain controls (e.g., SLSA, sigstore).
>
>
> ∙Define and assess LLM/agent guardrails (prompt/output handling controls, grounding
>
>
> strategies, tool allow-listing, sandboxing, rate limits/quotas, and human-in-the-loop
>
>
> patterns) and verify effectiveness through testing.
>
>
> ∙Drive LLM/agent security testing (abuse/misuse cases, prompt injection/jailbreak
>
>
> testing,



tool-use abuse validation, adversarial evaluation) and ensure findings are
>
>
> translated into actionable mitigations and risk decisions.
>
>
> ∙Define runtime monitoring and incident response requirements for AI systems (secure
>
>
> telemetry, privacy-aware prompt/output logging patterns, abuse detection, drift signals,
>
>
> containment/rollback playbooks).
>
>
> ∙Shape clients’ enterprise AppSec and AISecOps programs—build roadmaps aligning
>
>
> security investment with business outcomes and regulatory requirements; define
>
>
> governance, metrics, and operating model.
>
>
> ∙Serve as the primary day-to-day client interface—build rapport and trust with senior
>
>
> stakeholders (e.g., CISOs, CTOs, Heads of AI/Engineering) and guide prioritization and
>
>
> decision-making.
>
>
> ∙Oversee the quality of project deliverables—assessment reports, architectures, threat
>
>
> models, runbooks, and risk/security recommendations.
>
>
> ∙Support business development: define scope, build estimates and pricing, package
>
>
> proposals, and support proposal presentations.
>
>
> ∙Contribute to eminence—whitepapers, points-of-view, conference content—on the
>
>
> convergence of AppSec, DevSecOps, and AISecOps.
>
>
> ∙Lead talent processes—recruiting, coaching, performance management, and capability
>
>
> building for AppSec and AI Security professionals.
>
>
> ​
>
>
>
>

Requirements

> Qualifications
>
>
> Must-have skills / project experience / certifications (AI Security Focus)
>
>
> ∙6+ years of progressively responsible experience in application security, DevSecOps,
>
>
> product security, and/or security architecture, with increasing scope and ownership;
>
>
> including 2+ years in consulting, project leadership, or client-facing delivery.
>
>
> ∙Strong knowledge of
>

📌 AppSec & AI Security Manager (Hyderabad)
🏢 Important Business
📍 Hyderabad