Director - AI Solutions and Strategy

This role Director AI Solutions & Architecture is a senior customer-facing AI technology leader responsible for shaping, architecting, and accelerating AI-led transformation across strategic customers. This is a highly technical and hands-on role that combines deep AI expertise, solution architecture, consulting, and business leadership to take AI initiatives from concept to production.

Responsibilities

Act as the trusted AI advisor to customer executives, CTOs, CIOs, architects, and technology leaders; Define AI transformation strategies, roadmaps, investment priorities, and business value realization plans; Identify and create new AI-led business opportunities across Networks, Operations, Enterprise IT, Cloud, Security, and Digital Services; Drive executive discussions around AI governance, responsible AI, and AI operating models; Design end-to-end AI architectures spanning LLMs, Agentic AI, RAG, Knowledge Graphs, Data Platforms, Automation, and Cloud-native environments; Lead technical discovery workshops, architecture reviews, solution design sessions, and AI use-case assessments; Build and validate AI solution blueprints, reference architectures, and proof-of-value frameworks; Work directly with engineering teams to ensure AI solutions are scalable, secure, and production-ready; Serve as the catalyst for AI adoption across customer organizations; Identify high-impact use cases and accelerate movement from ideation to production deployment; Establish AI incubation programs and innovation initiatives with customers; Drive AI literacy, adoption, and executive sponsorship across customer stakeholders; Challenge the status quo and continuously identify opportunities where AI can simplify, automate, and transform operations; Act as the bridge between customer requirements and Ericsson's Business Areas, Product Development Units, and Solution Areas; Influence Ericsson's AI product roadmap through direct customer engagement and market insights; Provide technical leadership during major customer pursuits, proposals, and transformation programs; Ensure successful transition of AI initiatives from concept, pilot, and proof-of-value into production environments; Support customers in establishing AI operating models, governance frameworks, and value tracking mechanisms; Drive measurable outcomes including productivity gains, automation benefits, operational efficiency, and customer experience improvements

Requirements

15+ years of experience in AI, Software Engineering, Cloud, Enterprise Architecture, Data Platforms, Consulting, or Telecommunications; Strong hands-on experience with Generative AI, Agentic AI, LLMs, RAG, Vector Databases, AI Agents, MCP Frameworks, and AI Orchestration Platforms; Experience building, deploying, or operationalizing AI solutions in enterprise or telecommunications environments; Deep understanding of cloud-native architectures, APIs, microservices, Kubernetes, automation platforms, and modern data ecosystems; Proven ability to translate complex business challenges into scalable AI solutions; Strong executive presence with the ability to influence both CXOs and senior technical stakeholders; Entrepreneurial mindset with a passion for innovation, experimentation, and technology disruption; Demonstrated ability to drive AI adoption, challenge conventional approaches, and create new business opportunities