{"id":1610602,"url":"https://alion.io/job/appviewx-engineering-manager-ai","title":"Engineering Manager, AI","company":{"id":1888,"name":"AppViewX","domain":"appviewx.com","url":"https://alion.io/company/appviewx","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-02T05:45:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":82000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Incident Management","optional":false},{"name":"ISO 27001","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NIST AI RMF","optional":false},{"name":"OWASP","optional":false},{"name":"PKI","optional":false},{"name":"SOC 2","optional":false}],"status":"live","first_seen_at":"2026-06-17T14:12:18Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-03T02:49:49Z","board_verified":true,"closed_at":null,"days_open":107,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":106},"description":"Engineering Manager, AI\nExperience: 12+ years\nLocation: Bangalore / Coimbatore (Hybrid)\nAbout AppViewX\nAppViewX 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.\nWe 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.\nAs 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.\nAt 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.\nRole Overview\nWe are looking for an experienced Engineering Manager, AI to guide a high-impact team building enterprise-grade AI security, governance, and agent management platforms.\nThis 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.\nThe ideal candidate is comfortable working across agent frameworks, distributed systems design, scalability, security controls, compliance requirements, and engineering execution.\nKey Responsibilities\nEngineering Leadership\nBuild, mentor, and manage a team of 15-30 software engineers, architects, and technical leads.\nAdvance engineering excellence through strong software development practices, architecture reviews, code quality, and operational rigor.\nFoster a culture of innovation, ownership, accountability, continuous learning, and customer focus.\nEstablish career development plans, coaching frameworks, and performance processes for engineers.\nAI Platform, Architecture, Governance and Security\nLead 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.\nDefine and execute the technical roadmap for scalable, resilient, multi-tenant cloud-native systems aligned with business priorities and customer needs.\nShape architectural direction across AI and platform services, including LLM integrations, AI gateways and proxies, security enforcement frameworks, event-driven architectures, and workflow orchestration systems.\nEstablish and promote secure AI development practices, including controls for policy enforcement, prompt security, agent and MCP governance, audit logging, observability, and operational resilience.\nEnsure platform reliability, performance, scalability, and security using distributed systems principles, cloud-native technologies, and engineering best practices.\nPartner closely with Product Management, Security Research, Customer Success, and GRC teams to deliver solutions aligned with frameworks such as SOC 2, ISO 27001, NIST AI RMF, and OWASP LLM Top 10.\nReliability and Operations\nPromote operational excellence through observability, monitoring, incident management, and SRE best practices.\nDefine SLAs, SLOs, and reliability goals for AI and platform services.\nLead production readiness reviews and post-incident improvement efforts.\nDrive cloud cost optimization and platform efficiency initiatives.\nStakeholder Management\nCommunicate technical vision, risks, trade-offs, and progress to executive stakeholders.\nPartner with customers and field teams to understand enterprise AI adoption challenges.\nTranslate customer requirements into scalable product capabilities.\nQualifications\nBachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field.\n12+ years of software engineering experience, including 4+ years leading engineering teams in a product development environment.\nProven experience building and delivering enterprise-scale SaaS platforms using cloud-native architectures and distributed systems.\nStrong technical expertise in Generative AI, Large Language Models (LLMs), AI agents, and AI application architectures.\nHands-on experience designing and integrating AI platforms, model services, APIs, and enterprise AI workflows.\nDeep understanding of software architecture, microservices, Kubernetes, containers, event-driven systems, and high-availability design principles.\nExperience implementing security, governance, compliance, and risk management controls within enterprise software products.\nStrong knowledge of public cloud platforms such as AWS, Azure, or GCP, including DevOps and observability practices.\nDemonstrated ability to guide engineering execution, mentor technical leaders, and establish strong engineering practices across teams.\nExcellent communication, judgment, stakeholder management, and problem-solving skills, with the ability to influence technical and business outcomes.\nOur Values\nAt AppViewX, our values reflect how we work together in practice-not just what we aspire to. They guide how we collaborate, make decisions, and deliver outcomes.\nClarity: We interact with transparency, simplicity, and shared purpose.\nUnity: We build unity through mutual respect, trust, and collaboration.\nInnovation: We stay curious, challenge assumptions, and drive continuous improvement.\nSpeed: We act with urgency, focus, and follow-through to deliver results fast.\n Precision: We bring accuracy, consistency, and care to everything we do.\nWhy AppViewX?\nAppViewX serves a broad global customer base, including Fortune 1000 companies across banking, media, and healthcare. Over the years, we have grown a diverse team, expanded our global presence across India, North America, the United Kingdom, and Australia, and continued to strengthen long-term customer trust through innovation and execution.\nEqual Opportunity Statement\nAppViewX is proud to be an Equal Employment Opportunity Employer. AppViewX provides equal employment opportunities to all employees and applicants 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 any other protected class under applicable law.","description_format":"text","description_chars":6655,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Identity Management","Network Security","AI Agents"],"lifecycle":[{"event":"open","at":"2026-10-01T20:19:01Z"}],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.31,"p_room":0.28,"age_days":106,"expected_fill_days":31,"reasons":["conf:9","win:tail","crowd:"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/appviewx-engineering-manager-ai","json_url":"https://alion.io/job/appviewx-engineering-manager-ai.json","meta":{"generated_at":"2026-10-03T04:13:41Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4369,"day_limit":5000,"remaining_today":631,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}