AI Security Architect

Back to all jobs
  • Emergent
  • Bengaluru, KA
  • Full-Time
  • 1 month ago
  • $5000k-10000k
Published
April 1, 2026
Location
Bengaluru, United Kingdom
Job Type

AI Security Architect: our view in 3 lines...

  • The Role: An experienced security engineer will own and improve security for an AI-native, multi-tenant platform that generates and deploys production applications at scale.
  • The Person: The person will design and implement end-to-end security controls for AI agent pipelines and cloud infrastructure, lead threat modelling and vulnerability management, drive SDLC security and run incident response and compliance efforts.
  • Requirements: Requires 8 to 12 years security engineering experience, ability to read Python JS/TS and SQL, cloud security across AWS GCP or Azure, SAST DAST SCA and secret scanning, and incident response with SIEM tooling.

Job Description

 

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:

  1. Daily Meals: Lunch and Dinner provided
  2. Family Insurance: 3 Lakhs worth of coverage for you and your family
  3. Unlimited Paid Time Off: Take the time you need to recharge and come back refreshed
  4. Flexible Working Hours: Work arrangements that fit your life and commitments

Let's build the future of software together.

 

Emergent enables anyone to build production software by describing what they want in natural language. Our coding agents handle the entire development stack—from frontend design, database setup, app deployment, and scaling—translating domain expertise directly into working applications without requiring any coding knowledge.

Founded by Mukund Jha, and Madhav Jha, we've grown to 700,000+ users and $10M ARR in just 2 months from launch, making us one of the fastest-growing AI companies in history.

Our customers range from entrepreneurs launching SaaS products, to development agencies delivering prototypes to win deals, to Fortune 500 companies automating enterprise workflows.

Key Skills
? Key Skills in dark blue have been inferred based on similar industry roles
Javascript/typescript SQL GCP Azure SAST/DAST/SCA Tooling CI/CD ML LLM CI CD Python Docker Kubernetes AWS SIEM

Subscribe to Career Resources

Get the latest career advice, industry insights, and job opportunities delivered to your inbox.