remoteonsite
AI & Data Technology Architect - Ericsson
Software Engineer
Lead the design and governance of AI/ML and data platform solutions, establishing standards, guardrails, and reusable patterns to deliver secure, production‑ready AI across the enterprise.
About the role
Key Responsibilities
- Define and maintain architectural standards, reference designs, and governance frameworks for AI/ML, Generative AI, and data platforms.
- Review and approve AI solution proposals through the Architecture & Technology Forum, ensuring compliance with enterprise security, scalability, and ethical guidelines.
- Collaborate with service delivery teams to translate business requirements into reusable AI patterns and production‑ready pipelines.
- Drive alignment between AI initiatives and broader enterprise architecture, data governance, and cloud strategy.
- Mentor engineering teams on best practices for model lifecycle management, monitoring, and responsible AI deployment.
Requirements
- 10+ years of experience designing and implementing AI/ML solutions at scale, preferably in a cloud environment (AWS, Azure, or GCP).
- Deep knowledge of machine learning frameworks, model serving, and governance of Generative AI technologies.
- Strong background in data architecture, data pipelines, and modern data platforms (e.g., Snowflake, Databricks, BigQuery).
- Proficiency in programming languages such as Python and experience with container orchestration (Kubernetes, Docker).
- Excellent communication skills and a track record of influencing cross‑functional stakeholders on technical standards and best practices.
Skills
machine learninggenerative aipython