AI Security Architect

Emergent
Bengaluru
Workplace: OnsiteFull timeFunction: CybersecurityExperience: 8-12 yearsSkills: ["Communication","Ownership","Problem-solving"]

Security at Emergent is a core engineering discipline. You will own security across the full stack—from AI agent pipelines and cloud infrastructure to user-generated applications—protecting a production-scale platform used by millions, while embedding security into the SDLC and collaborating with founders and engineers to drive rapid, safe delivery.

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FursaFursa
Emergent
Emergent
4 months ago

AI Security Architect

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Security at Emergent is a core engineering discipline. You will own security across the full stack—from AI agent pipelines and cloud infrastructure to user-generated applications—protecting a production-scale platform used by millions, while embedding security into the SDLC and collaborating with founders and engineers to drive rapid, safe delivery.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Cybersecurity

Key Responsibilities

  • •Secure the AI-native stack end to end: design, implement, and continuously improve security controls across AI agent pipelines, multi-tenant cloud infrastructure, APIs, and user-generated application environments.
  • •Lead threat modelling and attack surface analysis: proactively identify risks in new product features, infrastructure changes, and AI-generated code patterns.
  • •Build and own vulnerability management: run automated security scans (SAST, DAST, SCA), triage findings by exploitability and impact, drive remediation, and track resolution to closure.
  • •Harden AI-generated application environments: define and enforce sandboxing strategies, code execution boundaries, secret handling standards, and runtime security controls.
  • •Drive security in the SDLC: embed security tooling and review gates into CI/CD pipelines, champion secure coding practices, conduct code reviews, and run internal red-teaming exercises.

Pay and Benefits

Perks:Meal AllowanceInsurancePaid LeaveFlexible Hours

Key Requirements

  • •8 to 12 years of hands-on security engineering experience in a fast-moving product or cloud environment.
  • •Strong application security foundation: able to read code (Python, JS/TS, SQL), identify vulnerabilities (OWASP Top 10, injection, auth flaws), and drive fixes with engineering teams.
  • •Solid cloud security experience across AWS, GCP, or Azure including IAM, network security groups, secrets management, and container security (Docker, Kubernetes).
  • •Experience with SAST, DAST, SCA, secret scanning, and CSPM tooling across the development lifecycle.
  • •Incident response experience with structured response from detection to post-mortem.
Experience:8-12 years
Skills:CommunicationOwnershipProblem-solving
Languages:English
Tech Stack:PythonJavaScriptTypeScriptSQLAWSGCPAzureDockerKubernetesSASTDASTSCACI/CD

Company Brief

Emergent
Provides a platform for orchestrating autonomous AI agents and workflows, enabling teams to build, deploy, monitor, and scale agent-driven applications and automations across business processes.
Industry: AI & Machine Learning
Growth: Early Stage Startup
Website