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.

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