Director of Engineering & AI-Enabled Delivery
Location
India
Posted
8 days ago
Salary
0
Seniority
Lead
No structured requirement data.
Job Description
Director of Engineering & AI-Enabled Delivery
Etech
Role Description The Director of Engineering & AI-Enabled Delivery will lead a multidisciplinary, remote organization of ~150 professionals across software engineering, business analysis, design, content, and internal platforms. This leader will stabilize delivery, modernize engineering practices on cloud platforms, and build an AI-ready organization where teams use advanced tools responsibly and effectively to ship scalable products and services. Key Responsibilities - Organization and leadership: - Own the India-based engineering and delivery organization across SaaS products, custom development, and internal tools. - Design and implement a clear team structure (managers, tech leads, product/BA leads) with defined charters and accountability. - Build and develop high-performing managers and technical leaders; establish succession plans for key roles. - Engineering and AI-enabled delivery: - Define and enforce a standardized SDLC and delivery model for all teams, including cross-functional ceremonies and quality gates. - Establish cloud-native standards, reference architectures, and CI/CD pipelines for SaaS, web products, and internal tools. - Integrate AI tools into the development lifecycle (coding copilots, test generation, documentation assistants) with clear guardrails and human accountability. - Quality, reliability, and operations: - Set engineering standards for code quality, test automation, observability, and incident management. - Oversee architecture and design reviews for major initiatives; challenge and coach teams on scalability, security, and maintainability. - Own reliability metrics and continuous-improvement programs to reduce defects and incidents. - Talent development and culture: - Create and maintain a comprehensive skill matrix covering technical, AI, cloud, and cross-functional skills across all roles. - Define career paths and promotion criteria for engineers, managers, and cross-functional roles; make progression transparent and merit-based. - Build a culture of technical excellence, accountability, and continuous learning, including mentoring programs and internal knowledge sharing. - Stakeholder and strategic alignment: - Translate business goals into engineering roadmaps and capacity plans for SaaS products, client projects, and internal platforms. - Partner with US-based leadership, product, and business stakeholders to prioritize initiatives and communicate outcomes clearly. - Act as a visible champion for AI-enabled practices, helping non-technical leaders understand capabilities, risks, and ROI. Qualifications - 14-20 years in software engineering or platform engineering, including at least 5-7 years leading multi-team organizations. - Proven track record running engineering for SaaS or product organizations plus custom implementation or services work. - Strong hands-on background in modern architectures and cloud platforms (AWS, Azure, or GCP), including CI/CD and observability. - Demonstrated experience integrating AI tools into software delivery and coaching teams on responsible, effective usage. - Experience working with cross-functional teams (design, content, BAs) and aligning them around product outcomes. - Confident communicator with global stakeholders; comfortable challenging existing practices and leading change.
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