AVP Engineering AI & Platforms
Posted Updated
Summary
Senior engineering leadership (AVP) role at Hurix: define engineering strategy and lead teams building data platforms, AI/GenAI solutions, and enterprise SaaS applications. Focus on architecture governance, DevOps/CI-CD, AI-native engineering, and talent development; 15+ years' experience required, based in Pune, Chennai, or Mumbai.
- Engineering Strategy & Technology Leadership: Define and execute engineering strategy, technology roadmap, architecture governance, and technology investment priorities across products, platforms, and customer solutions.
- Architecture & Technical Excellence: Review, challenge, and guide critical architecture decisions, platform designs, AI strategies, scalability approaches, security models, and implementation plans to ensure long-term technical sustainability.
- Data, AI & Platform Engineering: Drive the architecture and evolution of Data Platforms, AI Platforms, GenAI solutions, intelligent applications, reusable accelerators, and enterprise-scale platform capabilities.
- Engineering Delivery & Operational Excellence: Own engineering execution, delivery predictability, reliability, technical quality, release governance, observability, and operational readiness across all engineering initiatives.
- Quality Engineering & DevOps: Establish modern QA, automation, DevOps, CI/CD, platform engineering, SRE, and engineering productivity practices that improve quality, speed, and reliability.
- Innovation & AI-Native Engineering: Drive adoption of AI coding assistants, engineering automation, AI agents, modern development workflows, and innovation programs that improve efficiency and technical outcomes.
- Leadership & Talent Development: Build high-performing engineering teams, mentor engineering leaders and architects, strengthen technical culture, and create clear growth paths for future technical leaders.
- Customer & Executive Engagement: Partner with customers, executive stakeholders, technology leaders, and business teams to align technical strategy with business goals and customer outcomes.
- Experience: 15+ years (with 5+ years in engineering senior leadership roles)
Skills and Competencies:
Must have
Deep, proven expertise; these are non-negotiable.
- Engineering leadership: 15+ years of software engineering experience with at least 8+ years leading engineering organizations, engineering managers, architects, and technical leaders.
- Architecture & technical depth: Strong expertise in enterprise software architecture, cloud-native platforms, distributed systems, platform engineering, API-first architectures, and large-scale application development.
- Data, AI & platform engineering: Experience building and scaling Data Platforms, Analytics Platforms, AI Platforms, Enterprise SaaS applications, and AI-enabled products.
- AI & GenAI: Strong understanding of modern AI/GenAI architectures, including LLMs, RAG, AI agents, copilots, intelligent automation, vector databases, and enterprise AI adoption.
- Engineering excellence: Deep understanding of DevOps, CI/CD, Quality Engineering, Test Automation, Security, Reliability Engineering, Observability, Platform Engineering, and production operations.
- AI-native engineering leadership: Demonstrated ability to leverage AI tools, coding assistants, automation platforms, and agent-based workflows to transform software development, testing, documentation, architecture, and engineering operations.
- Technical governance & delivery: Proven ability to improve engineering productivity, software quality, architecture governance, delivery predictability, and operational excellence.
- Stakeholder management: Excellent communication, executive stakeholder management, customer engagement, and leadership skills.