AI Security Architect

RealPage, Inc.; Hyderabad; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

RealPage, Inc. is seeking an AI Security Architect in Hyderabad to lead security design for AI-enabled systems across SaaS and enterprise environments.

You will collaborate with Infosec teams to implement robust protections, guardrails, and incident response support while advancing AI adoption in secure, scalable ways. Ideal candidates have deep AI security experience, strong API security background, and the ability to translate evolving AI risks into practical security controls for

Qualifications

• 7+ years of technologist experience, with hands-on engineering.
• 5+ years in information security across architecture, application security, or incident response.
• Direct experience securing AI/LLM systems.
• Working knowledge of agentic AI development concepts.
• Experience with machine and non-human identity and workload identity.
• Understanding MCP and AI integration patterns.
• Strong API security foundation (REST, OAuth2, etc.).
• Knowledge of AI guardrails and policy enforcement mechanisms.
• Hands-on AI red-teaming tools or techniques.
• Cloud/hybrid security architectures.
• Excellent communication and stakeholder influencing skills.

Responsibilities

• Design and influence enterprise security architectures for AI systems.
• Partner across Infosec teams to embed AI-specific security controls and guardrails.
• Lead AI-focused threat modeling for prompt injection, data leakage, and other risks.
• Define and advise on AI identity and access strategies, including non-human identities.
• Guide secure implementation of AI guardrails and runtime protections.
• Evaluate and enhance API and MCP security for AI services.
• Perform and support AI red-teaming activities.
• Accelerate Infosec adoption of AI tools within workflows.
• Educate, mentor, and advise Infosec stakeholders on secure AI usage.
• Contribute to AI security standards, metrics, and governance.

Skills

7+ years technologist experience

5+ years information security

Direct AI/LLM security

Agentic AI concepts

Machine/non-human identity

Tools

LangChain

LLM gateways

Agents

Workflow automation tools

Cursor

Copilot

CI/CD platforms

Job description

Overview

TheAI Security Architectreports directly into the Information Security organization and is responsible for enabling thesafe, responsible, and scalable adoption of AI across the enterprise. This role partners closely with all Infosec teams to design and implement effective security protections for AI-enabled systems operating across RealPage’s applications, enterprise environments, and SaaS production network.

In addition to shaping AI security architecture and controls, this position plays a key role inaccelerating the Infosec organization’s own use of AI. The AI Security Architect helps security teams responsibly integrate AI into their daily workflows to improve the speed, accuracy, and effectiveness of detection, investigation, mitigation, and incident response.

This role combines security architecture, applied AI expertise, and hands-on collaboration to ensure AI technologies are adopted safely while empowering Infosec teams to move faster and make better decisions using modern AI platforms.

Responsibilities

• Design and influence enterprise security architectures for AI systems,includingsecurity incident response,LLMs, agentic workflows, MCP servers, AI gateways, and supporting infrastructure across cloud and SaaS environments

• Partner across all Infosec teams(Security Engineering, AppSec, Red Team, CSIRT, IAM/IGA, AI Governance, Third-Party Risk) to embed AI-specific security controls, patterns, and guardrails into existing programs

• Lead AI-focused threat modelingcovering risks such as prompt injection, insecure tool use, agent autonomy abuse, data leakage, model inversion, inference attacks, supply-chain risk, and non-human identity misuse

• Define and advise on AI identity and access strategies, including machine identity, non-human identity (NHI), agent identity, credential lifecycle management, and least-privilege access for AI systems

• Guide secure implementation of AI guardrails, content controls, policy enforcement, and runtime protections across internally built and third-party AI platforms

• Evaluate and enhance API and MCP securityfor AI services, including authentication, authorization, abuse prevention, observability, and integration with existing security tooling

• Perform and support AI red-teaming activities, including agent abuse testing, prompt and tool-chain manipulation, model and integration testing, and adversarial simulation using automated and manual techniques

• Accelerate Infosec adoption of AI tools, helping teams safely integrate AI into workflows for vulnerability management, detection engineering, incident response, threat analysis, and security operations

• Educate, mentor, and advise Infosec stakeholderson practical, secure uses of AI platforms and agents to improve speed, quality, and scale of security outcomes

• Contribute to AI security standards, documentation, metrics, and executive-level reportingto advance the maturity of AI governance and security programs

Qualifications

• 7+ years of experience as a technologist, including strong hands-on engineering experience

• 5+ years of information security experience, spanning architecture, application security, security engineering, red teaming, or incident response

• Direct experience securing AI/LLM systems, including threat modeling, control design, or hands-on implementation

• Working knowledge of agentic AI development concepts, including tools, orchestration, tool calling, and autonomous workflows

• Experience with machine and non-human identity, including service identities, workload identities, secrets management, and access governance

• Understanding of MCP and AI integration patterns, including secure deployment, authentication, authorization, and monitoring considerations

• Strong foundationin API security, including RESTful services, authentication protocols, abuse prevention, and observability

• Familiarity withAI guardrails, safety controls, and policy enforcement mechanisms

• Hands-on exposure toAI red-teaming tools or techniques(e.g.,PyRIT,Promptfoo, Protect AI, or custom approaches)

• Knowledge ofcloud and hybrid security architectures(AWS, Azure, SaaS platforms)

• Solid understanding ofauthentication and authorization protocols(OAuth2, OIDC, SAML, workload identity, token-based auth)

• Excellent written and verbal communication skills, with the ability to influence technical and non-technical stakeholders

• Demonstrated ability tocollaborate across teams and educate others

Preferred

• Hands-on development experience building or securing AI applications using frameworks and platforms such asLangChain, LLM gateways, agents, or workflow automation tools

• Experience using or integratingAI coding assistants(e.g., Cursor, Copilot, Claude, Codex)

• Familiarity withCI/CD and automation platformsand integrating security controls into delivery pipelines

• Contributions toopen-source projects, personal GitHub repositories, or research related to security or AI

• Relevant certifications such asOSCP, OSWE, GPEN, GWAPT, or similar (certifications valued but notrequired)

KNOWLEDGE / SKILLS / ABILITIES

• Strong architectural thinking with the ability to balancesecurity, usability, and speed

• Comfortable operating inambiguous, fast-moving AI environments

• Ability to translate emerging AI risks intopractical, actionable guidance

• High degree of integrity, sound judgment, and professionalism when handling sensitive matters

• Passion for learning, experimentation, andhelping teams safely move faster