Principal Systems Engineer - Networking & Artificial Intelligence

Job description

transformation initiatives across the organization. This is a senior leadership and consulting role responsible for identifying, shaping, and implementing high-value AI use cases that improve operational efficiency, enhance employee experience, optimize service delivery, and accelerate business outcomes. The successful candidate will work closely with cross-functional and transversal teams across technology, operations, engineering, service management, tooling, and business functions to establish AI as a strategic capability.

They will serve as a trusted advisor, thought leader, and hands-on practitioner capable of translating business challenges into scalable AI solutions. This role requires a combination of strong AI expertise, business consulting skills, stakeholder management, and execution excellence. AI Strategy & Transformation Define and drive the organization's AI vision, roadmap, and transformation strategy. Identify opportunities where AI, Generative AI, Agentic AI, Machine Learning, and automation can create measurable business value.

Develop AI use case portfolios aligned with organizational priorities and strategic objectives. Establish frameworks to prioritize AI initiatives based on value, feasibility, risk, and business impact. Act as a trusted advisor to leadership teams on AI adoption and innovation opportunities. Business Consulting & Innovation Partner with business and technology stakeholders to understand challenges and identify AI-driven solutions.

Facilitate ideation workshops and design-thinking sessions to generate innovative use cases. Translate business requirements into AI solution architectures and implementation plans. Build compelling business cases, value realization models, and executive presentations. Champion AI adoption and help drive organizational change. Solution Design & Implementation Lead end-to-end delivery of AI initiatives from concept through production deployment.

Design and implement solutions leveraging

Generative AI Large Language Models (LLMs) Agentic AI Machine Learning Conversational AI Predictive Analytics Intelligent Automation Collaborate with enterprise architecture, engineering, security, and operations teams to ensure scalable and secure implementations. Establish best practices for AI architecture, governance, monitoring, and lifecycle management. Cross-Functional Collaboration Work closely with transversal teams across multiple functions and geographies.

Build strong relationships with business leaders, technical teams, and external partners. Influence stakeholders at all levels to drive AI adoption and transformation. Act as the bridge between business strategy and technical execution. AI Governance & Responsible AI Establish governance frameworks ensuring ethical, secure, compliant, and responsible AI usage. Define standards for model governance, risk management, explainability, and data privacy.

Ensure adherence to organizational, customer, and regulatory requirements. Promote responsible AI principles throughout the organization. Capability Building Create and drive AI awareness programs, communities of practice, and training initiatives. Mentor teams on AI concepts, methodologies, and best practices. Foster a culture of innovation and experimentation. Stay current on emerging AI trends, technologies, and industry best practices.