Experience: 12+ years

Location: Bangalore / Coimbatore (Hybrid)

About AppViewX

AppViewX is trusted by the world’s leading organizations to reduce risk, ensure compliance, and increase visibility through automated certificate lifecycle management. At AppViewX, you will get to work with our AVX platform which is the industry’s most advanced and fastest growing cloud-native Certificate Lifecycle Management (CLM) platform. The AVX Platform allows customers to realize immediate value from complete certificate lifecycle management, enterprise-wide Kubernetes TLS automation, scalable PKI-as-a-Service, secure code signing, easy Microsoft CA migration, IoT security, SSH and key management, and PQC-forward controls in even the most complex multi-cloud, hybrid, and edge environments.

Our Values

Our values define how we work, make decisions, and deliver for our customers and each other. Some reflect strengths deeply engrained in how we work. Others represent the standards we are committed to building together.

We Do What We Say: We own our commitments, communicate honestly about progress, and measure success by results, not activity.
We Are Trusted Experts: We continuously build our expertise, offer candid guidance, and focus on the outcomes our customers and colleagues need.
We Raise the Bar: We stay curious, challenge the status quo, take smart risks, and turn better ideas into meaningful results.
We Win Together: We share information, debate openly, commit together, and recognize that our success is connected to the success of our customers and teammates.

If these values reflect how you want to work and contribute, you will find an opportunity to make a meaningful impact at AppViewX.

Role Overview

We are looking for an experienced Engineering Manager, AI to guide a high-impact team building enterprise-grade AI security, governance, and agent management platforms. This role combines engineering leadership with strong technical depth in AI/ML systems, LLMs, distributed systems, cloud-native architectures, and security. You will help shape architecture, delivery, reliability, scalability, and security for AI-native products while mentoring high-performing engineering teams.The ideal candidate is comfortable working across agent frameworks, distributed systems design, scalability, security controls, compliance requirements, and engineering execution.

Key Responsibilities

Engineering Leadership

Build, mentor, and manage a team of 15–30 software engineers, architects, and technical leads.
Advance engineering excellence through strong software development practices, architecture reviews, code quality, and operational rigor.
Foster a culture of innovation, ownership, accountability, continuous learning, and customer focus.
Establish career development plans, coaching frameworks, and performance processes for engineers.

AI Platform, Architecture, Governance and Security

Lead the design, development, and delivery of enterprise-grade AI-native SaaS platforms focused on AI governance, compliance, policy enforcement, MCP security, AI risk management, and security analytics.
Define and execute the technical roadmap for scalable, resilient, multi-tenant cloud-native systems aligned with business priorities and customer needs.
Shape architectural direction across AI and platform services, including LLM integrations, AI gateways and proxies, security enforcement frameworks, event-driven architectures, and workflow orchestration systems.
Establish and promote secure AI development practices, including controls for policy enforcement, prompt security, agent and MCP governance, audit logging, observability, and operational resilience.
Ensure platform reliability, performance, scalability, and security using distributed systems principles, cloud-native technologies, and engineering best practices.

Reliability and Operations

Promote operational excellence through observability, monitoring, incident management, and SRE best practices.
Define SLAs, SLOs, and reliability goals for AI and platform services.