24 hours ago
Rome, Italy or Milan, ItalySenior
Responsibilities
- Define and implement cloud-native data architectures using data lakes, real-time streaming, and event-driven architectures.
- Design generative AI and agentic AI solutions integrated with enterprise workflows.
- Establish MLOps, AI governance, and model lifecycle management practices.
- Collaborate with cross-functional teams to deliver large-scale AI and data initiatives and drive organizational adoption.
- Evaluate emerging AI and data technologies and define integration patterns between AI services and enterprise applications.
Requirements
- Proven experience designing cloud-native AI and data architectures across AWS, Azure, and GCP.
- Strong expertise in generative AI, agentic AI, LLMs, and orchestration frameworks.
- In-depth knowledge of MLOps, AI governance, and model deployment at scale.
- Solid understanding of data platforms, data lakes, real-time streaming, and event-driven architectures.
- Preferred experience with AI orchestration tools, agent frameworks, vector databases, semantic search, and retrieval-augmented generation.
- Strong problem-solving, communication, stakeholder management, cross-functional leadership, and innovation experience.
Benefits
- Hybrid-friendly work culture with financial, mental, physical, and social well-being programs.
- Continuous learning, certifications with Microsoft, Google, and Amazon, coaching, and hands-on development opportunities.
- Personalized career development goals, career-path tools, and continuous feedback.
- Opportunities for technical mastery, leadership growth, and work with global AI, data, and cloud experts.
Tech Stack
Categories
Forward Deployed
About Kyndryl
Kyndryl is a public IT services company that designs, runs, and modernizes mission-critical infrastructure for large enterprises and governments. Spun off from IBM in 2021, it is headquartered in New York City and trades on the NYSE (ticker: KD). The company provides managed infrastructure, cloud migration and operations across AWS, Azure, and Google Cloud, plus mainframe, network, security, data, and digital workplace services.