AI Solution Lead
Ericsson
About this opportunity:
Ericsson's Business Area Cloud Software & Services (BCSS) is at the forefront of the convergence of cloud and telecommunications. As our customers accelerate their 5G deployments, BCSS is driving the transformation toward cloud-native software and services enabling communication service providers (CSPs) to optimize complex networks, move faster, and deliver more competitive offerings to their customers.
We are looking for an AI/GenAI Solution Lead to join this mission. In this high-impact role, you will shape the future of AI-driven solutions in the telecom space from early-stage prototyping through to enterprise-scale deployment. You will work at the intersection of cutting-edge technology and real customer challenges, partnering with both internal teams and external stakeholders to drive innovation that matters.
What You Will Do
Lead the exploration, design, and development of AI and Generative AI prototypes tailored to CSP business challenges and telecom use cases Translate complex customer pain points into scalable, high-impact AI-driven solution architectures Drive end-to-end solution design including architecture definition, technology selection, integration strategy, and deployment planning across telecom ecosystems Collaborate with engineering, product, and business teams to accelerate innovation and reduce time-to-market Support pre-sales engagements through solution positioning, customer workshops, technical demonstrations, and executive presentations Provide thought leadership on emerging AI/GenAI trends, telecom transformation, and intelligent automation opportunities Mentor teams and guide best practices in AI solution architecture, governance, and implementation
Skills & Experience Required
Proven hands-on expertise in AI/ML and Generative AI technologies including prototype development, accelerators, or enterprise AI implementations 12+ years of experience in IT, telecom, or digital transformation domains with strong exposure to CSP ecosystems Deep expertise in enterprise solution architecture and large-scale system design Experience with LLMs, AI agents, RAG architectures, vector databases, and AI orchestration frameworks is highly desirable Exposure to cloud platforms such as AWS, Azure, or GCP and modern data/AI platforms Strong customer-facing experience in pre-sales, consulting, or technical advisory roles Excellent communication, presentation, and storytelling skills across executive and technical audiences Demonstrated leadership capabilities with experience mentoring teams and driving strategic initiatives
Preferred / Added Advantage
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