Executive Director, Applied AI Engineering (Hyderabad-Hybrid)

Overview

Lead Product Engineering and Applied AI delivery across Clinical, Commercial, and Corporate technology portfolios, driving modernization, AI adoption, and engineering productivity at scale.

What you'll do

• Lead Product Engineering delivery across Clinical, Commercial, and Corporate technology portfolios.
• Own engineering execution from concept through deployment and business value realization.
• Establish modern product-centric engineering practices and PDLC standards.
• Improve delivery predictability, release quality, and operational excellence.
• Drive modernization of legacy platforms into cloud-native, API-first architectures.
• Develop reusable engineering frameworks, services, and accelerators.
• Improve engineering throughput, release velocity, and technology resilience.
• Lead distributed product engineering teams across global delivery centers.
• Define and execute Applied AI and Product AI strategy across engineering portfolios.
• Operationalize Generative AI, RAG, Agentic AI, and intelligent workflow automation capabilities.
• Drive AI-enabled business capabilities within Clinical, Commercial, and Corporate products.
• Accelerate movement of AI initiatives from experimentation to production.
• Drive adoption of AI-enabled features that improve customer, operational, and business outcomes.
• Partner with Data, Architecture, and AI platform teams to define scalable AI delivery patterns.
• Lead enterprise adoption of AI Delivery Lifecycle (AI-PDLC) practices.
• Drive AI-assisted software engineering across the SDLC.
• Introduce engineering copilots and AI-assisted development workflows.
• Create engineering productivity dashboards and value realization metrics.
• Establish reusable engineering automation frameworks.
• Reduce manual engineering effort through intelligent automation and platform reuse.
• Partner with Data Governance, Enterprise Data, Architecture, MLOps, DataOps, Security, and Quality Engineering organizations to deliver production-grade AI solutions.
• Drive alignment between Product Engineering and enterprise AI platform capabilities.
• Ensure AI solutions are built using approved enterprise patterns and governance standards.
• Collaborate with platform teams to accelerate AI deployment, scalability, observability, and supportability.
• Support adoption of enterprise AI, cloud, and analytics platforms across engineering teams.
• Champion reuse of enterprise data, AI, and platform services to reduce duplication and accelerate time to value.
• Manage a large-scale Product Engineering and Applied AI portfolio.
• Partner with Product Leadership to prioritize investments based on business value and strategic objectives.
• Establish portfolio planning, delivery reviews, roadmap governance, and investment prioritization frameworks.
• Drive business case development and value realization tracking.
• Improve engineering capacity utilization and organization productivity.
• Support annual planning, budgeting, workforce strategy, and vendor management.
• Deliver measurable business outcomes through platform rationalization, modernization, automation, and AI adoption.

What you'll need

• 20+ years of progressive technology leadership experience.
• 10+ years leading large software engineering organizations.
• 5+ years at Executive Director, Senior Director, VP, or equivalent leadership level.
• Proven track record managing organizations of 100+ technology professionals.
• Experience managing large-scale product engineering portfolios.
• Demonstrated success leading technology modernization and organizational transformation initiatives.
• Experience driving enterprise-wide engineering productivity and operating model transformation.

Details

• Location: Hyderabad, India.
• Work mode: Hybrid.
• Equivalent experience, skills, and/or education will also be considered.