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 Security Engineer 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 — identify and 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, output validation

- 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 maintain DevSecOps pipelines 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 for GitOps workflows

- 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 to safely and successfully perform the essential job functions

- Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.

- Ability to conduct repetitive tasks on a computer, utilizing a 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)
🏢 Computer Aid
📍 India