AI-Driven Technical Delivery Leader

EPAM Systems

Colombia

Presencial

COP 180.000.000 - 260.000.000

Jornada completa

Hace 2 días

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Descripción de la vacante

EPAM Systems is seeking an experienced Technical Delivery Manager to lead AI-enabled software delivery across LATAM. You will orchestrate multi-disciplinary teams, align technology with business goals, and guide transformation initiatives at scale.

The role requires deep technical and people leadership, cloud and DevOps expertise, and a passion for AI-driven engineering. Join a global EPAM community delivering cutting-edge solutions and continuous learning opportunities.

Formación

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.

Responsabilidades

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.