Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.
Be ready to discuss AI platform architecture, security trade-offs for model and data pipelines, zero-trust style access, incident response for platform services, and how you would support a consulting firm scaling AI capabilities after leadership and investment moves in that space.
Strong fit if you build secure AI platforms in regulated or client-facing environments and can operate from Bangalore with a firm investing in AI leadership and growth. Thin public data on culture and pay—validate scope, stack, and client mix in the process.
As an AI Platform & Security Engineer at Beghou Consulting in Bangalore, expect to design and harden AI/platform services for consulting delivery—identity, access, data paths, and secure model/runtime patterns—while aligning with client and firm security expectations. Days likely mix platform engineering, threat-aware design reviews, and support for AI innovation initiatives rather than pure desk research.
Prioritize platform engineering for AI workloads, cloud security controls, secure SDLC, identity/access, secrets and data protection, observability, and threat modeling for ML systems. No certification list or costs are provided in the source data.
The listing marks remote as no; it is tied to Bangalore.
Public items include AI innovation leadership, a healthcare PE strategic investment, an adviser hire, and partner promotions across U.S. offices.
No salary bands or third-party review scores are in the supplied data; do not rely on invented figures.
AI Platform & Security Engineer at Beghouconsulting in Bangalore, India - Full Time, On-site What This Role Involves Beghou is establishing an AI-native operating model encompassing enterprise Claude and ChatGPT integrations, a growing internal skills library, MCP server ecosystems, an internal AI Lab site, and firm-wide cost and governance obligations. This role focuses on the underlying AI-specific platform, security, and configuration layers, including managed policy files, connector and MCP governance, security reviews, token controls, admin and access management, and deployment infrastructure. Day-to-Day Responsibilities Secure, configure, govern, and deploy the AI platform to ensure it runs as managed infrastructure with clear standards and ownership as Beghou’s AI footprint scales. Manage policy files, connectors, and MCP governance for the AI platform. Conduct security reviews and enforce token controls to maintain data integrity and confidentiality. Implement admin and access management strategies to ensure secure user interactions with the platform. Deploy infrastructure necessary for the smooth operation of the AI platform. Skills & Qualifications Expertise in AI platform security, configuration, and governance. Experience with managed policy files, connectors, and MCP governance. Strong background in conducting security reviews and enforcing token controls. Adept at implementing admin and access management strategies. Proficient in deploying infrastructure for AI platforms. Working at Beghouconsulting Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of healthcare and improve patient outcomes. Next Steps To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
Generated for personal interview prep · 2026-07-25 UTC · getajob.ai