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AI Security Architect

emergentlabsinc

Bangalore, INonsitePosted Mar 27, 2026

At a glance

Highlights

  • Competitive compensation and equity
  • Work directly with founders and engineering leads
  • Flexible working hours

Heads up

  • Onsite location in Bangalore
  • Fast‑moving, high‑pace environment

Why this role might suit you

A senior security engineer with deep cloud and application security expertise can shape the security posture of a rapidly scaling AI platform, influencing product design, incident response, and compliance while collaborating closely with founders and engineering teams.

Skills

pythonjavascripttypescriptsqlawsgcpazureiamnetwork-security-groupssecrets-managementdockerkubernetessastdastscacspmsiemsoc-2iso-27001gdprred-teamingpenetration-testingmodel-apisprompt-injectionllmsandboxing

About the role

Emergent builds autonomous coding agents that replace traditional software development by generating, testing, and deploying production applications directly from plain-language intent. Our systems run in production at global scale and are used to build millions of real applications.

Since public launch, Emergent has reached $100M ARR in 8 months. 6M+ users across 190+ countries have built 6.5M+ applications on Emergent. We've raised $100M+, backed by Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator.

We're solving the hard part of AI-driven software creation: correctness, reliability, security, and scale in real production systems. The team is built by repeat founders, Olympiad medalists, IIT & IIM alumni, and leaders from Google, Amazon, and Dropbox.

We're hiring builders who want ownership, speed, and impact at global scale.

The Role: Security at Emergent isn't a checkbox, it's a core engineering discipline. With 6M+ users generating and deploying real applications every day, our attack surface is unique. We're looking for a Security Engineer who thinks like an attacker, builds like a product engineer, and operates with the urgency of a founder. You'll own security across the full stack, from AI agent pipelines and cloud infrastructure to the applications our users generate and deploy at scale.

What You'll Do:

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. Catch vulnerabilities at design time, not after deployment

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

Detect, respond, and learn: build detection coverage using cloud-native logging and SIEM tooling. Lead incident response, triage, contain, eradicate, and produce clear post-mortems

Own compliance and trust: maintain and mature security posture against SOC 2, ISO 27001, and cloud security benchmarks. Serve as technical point of contact for customer security reviews

What We're Looking For:

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

Excellent written and verbal communication, able to explain a critical vulnerability to a non-technical founder and a detailed CVE to a senior engineer

High ownership mindset: you see a gap and close it

Good to Have:

Experience securing AI/ML systems including model APIs, prompt injection risks, LLM output validation, and multi-tenant AI inference

Familiarity with sandboxed code execution environments or container escape scenarios

Hands-on red teaming or penetration testing experience

Compliance background: SOC 2 Type II, ISO 27001, GDPR and data privacy

Prior experience at a high-growth startup or infrastructure-heavy product company

What This Role Is Not:

Not a compliance-only or checkbox security role

Not removed from engineering, you'll be deep in code, PRs, and architecture discussions

Not slow-moving, we ship fast and you'll need to keep pace while raising the security bar

Why Join Us:

Own the security function at one of the fastest-growing AI companies in the world, with real scope, real risk, and real impact

Work directly with founders and engineering leads on decisions affecting millions of users

Competitive compensation, meaningful equity, and a front-row seat to the AI-native software revolution

Fast learning, high ownership, and a clear path to defining enterprise-grade security at the frontier of AI

Benefits and Perks:

Daily Meals: Lunch and Dinner provided

Family Insurance: 3 Lakhs worth of coverage for you and your family

Unlimited Paid Time Off: Take the time you need to recharge and come back refreshed

Flexible Working Hours: Work arrangements that fit your life and commitments

Let's build the future of software together.

Questions about this role

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