Director - AI Software Engineering

Overview

Lead the AI software engineering group and delivery of AI capabilities and applications from internal development teams and third parties. The role bridges partner execution, strategy, business needs, data science and operations to move AI solutions from concept to production.

What you'll do

• Lead delivery of Agentic AI solutions on cloud infrastructure on time, within budget and scope, and to required quality standards.
• Develop and manage high-performing engineers and organize a large group of contractors to deliver on scope, quality and time.
• Manage a growing group of full-time employees and contractors focused on delivery.
• Research and roll out the latest technologies and methodologies adopted from industry-wide practices to deliver software using AI techniques.
• Provide day-to-day work direction for team members engaged in projects and delivery.
• Present leadership updates to GE Vernova executives and internal customers.
• Define future technology rollout and architecture for products and services with others.
• Map key priorities to execution plans.
• Align with stakeholders to ensure data and process changes required in systems are implemented in accordance with project objectives and timelines.
• Facilitate and coach software engineering teams on requirements estimation and work sizing.
• Drive a continuous learning culture and guide continuous improvements.
• Provide leadership on Lean/Agile principles and development practices.
• Utilize tools to track progress, identify key risk areas for implementations, and assist in resolving conflicting priorities through proactive communication with stakeholders about requirements and timelines.
• Serve as a subject matter expert and technical expert for assigned programs and development initiatives.
• Work with system leaders and functional teams to ensure products and services adhere to compliance and controllership standards.

What you'll need

• Bachelor’s degree in Computer Science or a STEM field (Science, Technology, Engineering or Mathematics), with significant experience.
• 15+ years of experience in software engineering and AI/ML.
• 8 years in a technical engineering, systems architecture, or principal-level role.
• 8+ years of experience leading and managing software engineering organizations.
• Cloud SaaS delivery experience.
• Experience delivering commercial software products.
• Experience shipping AI applications with cost management.

Nice to have

• Experience managing other engineering managers.
• Demonstrated ability to engage, influence, and collaborate with senior executive stakeholders (VPs, Directors) across multiple distinct business units.
• Proven track record of leading large, complex, cross-functional engineering organizations with large groups of contractors in a high-growth, fast-paced environment.
• Experience deploying RAG pipelines in production environments.
• Strong systems-level thinking in decision-making and problem-solving.
• Experience working in global organizations.
• Experience with serverless technologies, including AWS AgentCore and Langchain.
• Experience working with AWS services and cloud platforms.

Details

• Location: Bengaluru.
• Relocation assistance is provided.