Senior Application Security Engineer **Req number:** R7815 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. **Job Summary** We are looking for a motivated Senior Application Security Engineer ready to take us to the next level! If you have security architecture reviews, and code security assessments across microservices and cloud-native applications and are looking for your next career move, apply now. **Job Description** We are looking for a **Senior Application Security** **Engineer** to security architecture reviews, and code security assessments across microservices and cloud-native applications. This position will be **full time** and **Remote** **.** **What** **You'll** **Do** + Application SecurityEngineer with 5 to 8 years of experience + Lead threat modeling, security architecture reviews, and code security assessments across microservices and cloud-native applications + Perform SAST, DAST, SCA, and manual penetration testing on applications + Identify, prioritize, and track remediation of vulnerabilities across the application portfolio + Define and enforce secure coding standards and security best practices + AI / LLM Security (AI Transformation Center Focus) + Threat model AI systems -identifyand mitigate risks unique to LLM-powered applications: prompt injection, jailbreaking,



model inversion, data poisoning, and training data leakage + Conduct adversarial testing (red-teaming) of LLM and generative AI applications before production release + Define and implement guardrails and content safety controls for LLM inputs/outputs (e.g., PII detection, toxicity filtering, outputvalidation + Evaluate and secure AI supply chain - third-party model APIs (OpenAI, Anthropic, Azure OpenAI), open-source model weights (Hugging Face), and fine-tuned models + Establish policies around RAG (Retrieval-Augmented Generation) security - securing vector databases, embedding pipelines, and document ingestion workflows + Implement controls against indirect prompt injection in agentic AI systems and multi-step LLM pipelines + Assess AI agent security - tool call authorization, agent sandboxing, privilege boundaries, and action scope controls + Ensure compliance with AI governance frameworks: ISO/IEC 42001, and internal AI usage policies + Collaborate with Data Science and ML Engineering teams to secure model training pipelines, dataset storage, and model registries + Drive AI incident response playbooks specific to model abuse, hallucination exploitation, and data exfiltration via LLM interface **What You'll Need** Required: + DevSecOps& CI/CD Security + Design and maintainDevSecOpspipelines integrating security gates into GitHub Actions workflows + Automate SAST, container scanning, secrets detection,



SCA, and AI model scanning within CI/CD pipelines + Implement and manage Argo CD security policies, RBAC configurations, and deployment guardrails forGitOpsworkflows + Enforce branch protection, signed commits, and secrets management in GitHub + Integrate ML model integrity checks and artifact signing into AI deployment pipelines + Container & Orchestration Security + Harden Docker images - least-privilege, minimal base images, multi-stage builds, and image signing + Secure Kubernetes clusters: RBAC, Pod Security Admission, Network Policies, OPA/Gatekeeper, and runtime security + Isolate and sandbox AI inference workloads in Kubernetes - GPU node security, model server hardening (Triton,TorchServe,vLLM) + Integrate container vulnerability scanning (Trivy,Grype, Snyk) into pipelines + Security Operations & Governance + Define security benchmarks aligned to ISO42001, NIST, OWASP (including OWASP LLM Top 10), and internal standards + Collaborate with AI Engineering TEAM, Security and Risk Management Team, GRC Team, Infosec Team to shift security left **Physical Demands** + Ability tosafely and successfully perform the essential job functions + Sedentary work that involves sitting orremainingstationary most of the time with occasional need to move around the office to attend meetings, etc. + Ability to conduct repetitive tasks on a computer,utilizinga mouse, keyboard, and monitor **Reasonable accommodation statement** If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to [email protected] or (888) 824 - 8111.

📌 Senior Application Security Engineer (India)
🏢 CAI
📍 India