Technical Delivery Manager - AI-Native Transformation & Intelligent Engineering

The software industry is undergoing the biggest transformation in decades. AI is redefining how products are imagined, engineered, delivered, and operated. At EPAM, we are not simply adopting AI tools — we are building an AI-Native organization, transforming how engineering teams, delivery models, and consulting capabilities create value for clients. We are looking for exceptional Technical Delivery Managers who want to lead this transformation with us. This role is designed for leaders who combine technical depth, business thinking, and people leadership — professionals excited by the opportunity to reinvent software delivery, scale AI-enabled teams, and work at the forefront of intelligent engineering. If you believe delivery management is evolving from project coordination into orchestrating AI-augmented engineering organizations, we want to talk to you. Responsibilities Drive end-to-end delivery of complex software and AI-enabled products Lead distributed engineering teams across LATAM on multiple technologies and domains Leverage AI-powered engineering practices to improve quality, velocity, predictability, and customer outcomes Transform traditional delivery models into AI-first operating models Partner with customers to understand business goals and translate them into technology strategies Engage executives and stakeholders to shape roadmaps and transformation initiatives Help clients adopt AI capabilities responsibly and effectively Connect technology decisions with measurable business impact Mentor and develop engineers, architects, and technical leaders Foster a culture of continuous learning and experimentation Promote AI fluency across teams and encourage innovative ways of working Build organizations that combine human expertise with AI capabilities Ensure architectural quality, scalability, reliability, and engineering best practices Collaborate closely with Solution Architects, Product Managers, and Principal Engineers Promote DevOps, platform engineering, and modern cloud-native practices Encourage AI-assisted development and intelligent automation Incorporate GenAI tools, agents, copilots, and automation into engineering workflows Optimize SDLC processes using AI-enabled practices to reach AI SDLC standards Improve productivity, knowledge sharing, and operational efficiency Drive continuous innovation across programs and teams Requirements 8+ years leading software delivery programs and technical teams Experience managing cross-functional and distributed organizations Strong coaching, mentoring, and people development capabilities Ability to create clarity in complex and rapidly changing environments Familiarity with cloud platforms such as AWS, Azure, and GCP Knowledge of modern software architectures, microservices, and Platform Engineering and DevOps practices Understanding of Agile and product-centric delivery models Familiarity with data and analytics ecosystems, and AI, GenAI, Agentic AI, or MLOps initiatives Strong executive communication and stakeholder management skills Ability to connect technology strategy with business outcomes Experience managing risks, budgets, and delivery governance Genuine enthusiasm for AI and its impact on engineering, with a growth mindset and commitment to continuous learning English proficiency at B2 level or higher