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Senior Engineer - AI Security Engineering

Angel One · Posted Oct 9

Stock broking, wealth management, margin trading, and digital investment services

Bengaluru, Karnataka, IndiaFull-timeHybridLead/Staff7–10 years₹40.0L–₹60.0L yearly100+ applicants
Financial ServicesFintechStock BrokingWealth ManagementInvestmentsPublic Company
Full time

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About the role

Angel One is a fintech platform serving millions of customers across investing, trading, wealth creation, and credit, building simple, intelligent and seamless financial experiences at scale. This role sits within the security function and focuses on building and operating AI-powered security platforms, AI agents, and automation workflows, along with securing LLM-based applications, agentic workflows, MCP servers, and enterprise AI tools. It also leads AI security governance, architecture reviews, control frameworks, and risk mitigation for AI-driven solutions built across the organization.

What you will do

  • Lead the design, development, and operationalization of AI-powered security platforms, AI agents, and automation workflows for enterprise security processes.
  • Build and integrate AI agents that automate security use cases such as code reviews, vulnerability assessments, penetration testing, attack surface management, red and blue team related activities, security reviews, control validation, detection engineering, soc alert triaging, threat analysis, evidence collection, risk triage, compliance support, operational reporting etc
  • Develop secure, scalable solutions using strong software engineering practices, scripting, APIs, workflow automation, orchestration, and integration with enterprise security platforms.
  • Implement security controls for AI platforms, AI agents, LLM-based applications, agentic workflows, MCP servers, plugins, connectors, and third-party AI tools used across the organization.
  • Operationalize the enterprise AI security governance framework, including AI security architecture reviews, control assessments, risk acceptance workflows, exception tracking, and ongoing compliance validation.
  • Define reusable security control frameworks and reference patterns for AI agents, AI-driven business solutions, model integrations, prompt workflows, data access, tool invocation, and autonomous actions.
  • Conduct security architecture and design reviews for AI solutions built by internal teams, providing practical guidance to make them secure-by-design.
  • Assess and mitigate AI-specific risks such as prompt injection, data leakage, excessive agency, insecure tool use, model misuse, sensitive data exposure, adversarial abuse, supply chain weaknesses, and unsafe integrations.
  • Partner with engineering and platform teams to embed authentication, authorization, data protection, logging, monitoring, guardrails, rate limits, approval workflows, and human-in-the-loop controls into AI systems.
  • Create security standards, checklists, review playbooks, reusable templates, and automation accelerators for AI security governance and engineering adoption.
  • Drive continuous monitoring and control assurance for AI platforms, including telemetry, audit trails, policy enforcement, incident readiness, and measurable security posture improvements.
  • Act as a technical lead for AI security engineering initiatives, influencing tool choices, secure architecture patterns, and the long-term roadmap for AI security within the CISO organization.

Skills used in this role

PythonJavaGoJavaScriptPowerShellBashLLMsAI AgentsRAGVector DatabasesMCPAPIsOrchestrationDevSecOpsIAMApplication SecurityCloud SecurityAPI SecurityData ProtectionVulnerability ManagementPrompt WorkflowsCommunication

What the employer is looking for

  • 7 to 10 years of mandatory hands-on experience across software development, security engineering, scripting, automation, and practical usage of AI platforms.
  • Strong developer mindset with experience building production-grade solutions using languages such as Python, Java, Go, JavaScript, or similar, along with API integrations and secure coding practices.
  • Hands-on scripting and automation expertise using Python, PowerShell, Bash, workflow engines, orchestration tools, or low-code/no-code automation platforms.
  • Practical experience with AI platforms, LLMs, AI agents, prompt workflows, agent orchestration, vector databases, retrieval-augmented generation, APIs, plugins, connectors, and enterprise automation patterns.
  • Strong understanding of AI security risks and controls, including prompt injection, jailbreaks, data leakage, insecure output handling, excessive permissions, unsafe tool invocation, model misuse, and third-party AI risks.
  • Experience implementing security controls for AI platforms and AI-driven solutions developed by other teams, with the ability to translate risk requirements into practical engineering guardrails.
  • Working knowledge of AI security governance, secure AI architecture reviews, model and agent risk assessment, control frameworks, policy enforcement, exception management, and control assurance.
  • Hands-on familiarity with securing MCP servers, agent tools, enterprise connectors, APIs, secrets, service accounts, data access paths, and third-party AI services.
  • Strong foundation in application security, cloud security, IAM, API security, data protection, logging, monitoring, vulnerability management, and DevSecOps practices.
  • Ability to design secure architectures for AI agents and automation workflows that balance speed, usability, privacy, compliance, and security requirements.
  • Proven ability to work with engineering, product, platform, data science, legal, privacy, risk, and compliance teams to operationalize AI security at enterprise scale.
  • Strong communication skills with the ability to convert complex AI security risks into clear engineering actions, governance decisions, and leadership-level recommendations.
  • Relevant certifications in security, cloud, AI, or secure software engineering such as CISSP, CCSP, AWS/GCP security certifications, or AI security certifications are preferred.

Benefits and support

  • Learning & Growth : Live solutions built at the WARP AI Buildathon, leadership programs from top B-Schools, plus a Learning Wallet.
  • In-Office Collaboration: A flexible workweek that gives you time to focus from home and collaborate in person at the office.
  • Medical, OPD & Counselling & more: Our Angel Care+ covers OPD, hospitalization, preventive health checks, counselling sessions & more, for Angelites and their families.

About Angel One

Angel One logo

Angel One

Company website
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Angel One Limited is a prominent Indian fintech and full-service retail stock broking house providing broking services, margin trading, depository services, and wealth management. The company leverages advanced technology, AI, and data science to offer a unified digital investment platform to millions of clients across India. Formerly known as Angel Broking, it has evolved into a major digital-first financial services powerhouse.

Industry
Financial Services
Company size
3800+ employees
Founded
1996
Location
Mumbai, Maharashtra, India
Funding stage
Public Company

Funding

Public Company · $38.4M raised

International Finance Corporation (IFC)
  • 2024-04-05Post IPO$38.4M

Leadership

DT
Dinesh Thakkar

Chairman and Managing Director

AK
Ambarish Kenghe

Group Chief Executive Officer

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