Engineering Manager
Posted 17 Jun 2026
Advertised as “Engineering Manager, AI”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 12+ yrs
- Management level
- People management
- Employment
- Hybrid
No salary listed for this role.
Field of studyArtificial Intelligence, Computer Science, Engineering (or related)
Study levelBachelor's or higher
Engineering Manager, AI
Experience: 12+ years
Location: Bangalore / Coimbatore (Hybrid)
About AppViewX
AppViewX is trusted by leading organizations around the world to reduce risk, ensure compliance, and increase visibility through machine identity management, AI security governance, and application infrastructure security. We are building next-generation platforms that help enterprises discover, govern, secure, and manage AI agents, MCP servers, models, identities, and workflows across coding and non-coding environments. As enterprises accelerate adoption of Agentic AI, LLMs, autonomous agents, and AI-powered workflows, AppViewX is enabling organizations to embrace AI innovation securely while maintaining governance, compliance, and operational resilience. At AppViewX, you will work on the AVX ONE platform, which delivers certificate lifecycle management and PKI-as-a-Service through streamlined automation workflows designed to prevent outages, reduce security incidents, and support crypto-agility.
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.