AI Engineering Manager

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:

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.
• Lead production readiness reviews and post-incident improvement efforts.
• Drive cloud cost optimization and platform efficiency initiatives.

Stakeholder Management

• Communicate technical vision, risks, trade-offs, and progress to executive stakeholders.
• Partner with customers and field teams to understand enterprise AI adoption challenges.
• Translate customer requirements into scalable product capabilities.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field.
• 12+ years of software engineering experience, including 4+ years leading engineering teams in a product development environment.
• Proven experience building and delivering enterprise-scale SaaS platforms using cloud-native architectures and distributed systems.
• Strong technical expertise in Generative AI, Large Language Models (LLMs), AI agents, and AI application architectures.
• Hands-on experience designing and integrating AI platforms, model services, APIs, and enterprise AI workflows.
• Deep understanding of software architecture, microservices, Kubernetes, containers, event-driven systems, and high-availability design principles.
• Experience implementing security, governance, compliance, and risk management controls within enterprise software products.
• Strong knowledge of public cloud platforms such as AWS, Azure, or GCP, including DevOps and observability practices.
• Demonstrated ability to guide engineering execution, mentor technical leaders, and establish strong engineering practices across teams.
• Excellent communication, judgment, stakeholder management, and problem-solving skills, with the ability to influence technical and business outcomes.

Why AppViewX?

AppViewX caters to a wide range of customers from Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers. Over the years, we grew our diverse team, perfected our automation platform, and expanded our global footprint to India, North America, United Kingdom, and Australia. Today, we are headquartered in New York City and have come a long way by optimizing opportunities to create lasting relationships with enterprises, gaining unshakable customer trust along the way.

AppViewX is proud to be an Equal Employment Opportunity Employer. It is AppViewX’s policy to afford equal employment opportunities to all employees regardless of race, color, national origin, ancestry, religion, citizenship status, gender, gender expression or identity, sexual orientation, age, marital status, military or veteran status, pregnancy, disability, genetic information, arrest record, or other protected class under state, federal, or local law.