Director - AI Solutions and Strategy

Responsibilities:

Leadership in AI Strategy & Transformation

• Serve as a trusted advisor in AI to customer executives, CTOs, CIOs, architects, and technology leaders.
• Develop AI transformation strategies, roadmaps, investment priorities, and plans for realizing business value.
• Identify and generate new business opportunities driven by AI across Networks, Operations, Enterprise IT, Cloud, Security, and Digital Services.
• Facilitate executive discussions focused on AI governance, responsible AI practices, and AI operating models.

Practical AI Solution Architecture

• Design comprehensive AI architectures that encompass LLMs, Agentic AI, RAG, Knowledge Graphs, Data Platforms, Automation, and Cloud-native environments.
• Lead technical discovery workshops, architecture evaluations, solution design meetings, and assessments of AI use cases.
• Create and validate blueprints for AI solutions, reference architectures, and frameworks for proof-of-value.
• Collaborate closely with engineering teams to ensure that AI solutions are scalable, secure, and ready for production.

Acceleration of AI Adoption & Innovation

• Act as a driving force for AI adoption within customer organizations.
• Recognize high-impact use cases and expedite the transition from ideation to production deployment.
• Establish AI incubation programs and innovation initiatives in partnership with customers.
• Promote AI literacy, adoption, and executive support among customer stakeholders.
• Encourage a culture of questioning the status quo and continuously seek opportunities for AI to simplify, automate, and transform operations.

Technical Leadership & Engagement with Ecosystem

• Act as a liaison between customer needs and Ericsson's Business Areas, Product Development Units, and Solution Areas.
• Shape Ericsson's AI product roadmap through direct engagement with customers and insights from the market.
• Provide technical leadership during significant customer pursuits, proposals, and transformation initiatives.

Delivery of AI Solutions & Value Realization

• Oversee the seamless transition of AI initiatives from concept to pilot and proof-of-value into production environments.
• Assist customers in establishing AI operating models, governance frameworks, and mechanisms for tracking value.
• Drive measurable outcomes such as productivity enhancements, automation advantages, operational efficiencies, and improvements in customer experience.

Qualifications:

• 15+ years of experience in AI, Software Engineering, Cloud, Enterprise Architecture, Data Platforms, Consulting, or Telecommunications.
• Extensive hands-on experience with Generative AI, Agentic AI, LLMs, RAG, Vector Databases, AI Agents, MCP Frameworks, and AI Orchestration Platforms.
• Experience in building, deploying, or operationalizing AI solutions within enterprise or telecommunications settings.
• In-depth understanding of cloud-native architectures, APIs, microservices, Kubernetes, automation platforms, and contemporary data ecosystems.
• Proven track record of translating complex business challenges into scalable AI solutions.
• Strong executive presence with the ability to influence CXOs and senior technical stakeholders.
• An entrepreneurial mindset with a passion for innovation, experimentation, and technological disruption.
• Demonstrated ability to promote AI adoption, challenge traditional methods, and create new business avenues.