Senior Data Architect with AI/ML - OSS/BBS Environment
Senior Data Architect with AI/ML - OSS/BBS Environment
Posted 3 days ago
SENIORITY
Lead
About the role
- Overall 20+ years of IT experience
- 12+ years in data engineering, data architecture, or analytics platforms
- 5+ years working in the Telecom domain (Network, OSS/BSS, 4G/5G)
- Proven experience delivering LLM-based and AI-driven data platforms Technical Skills
- Strong expertise in LLMs, RAG architectures, and enterprise AI integration
- Hands-on experience designing AI agents and agent orchestration frameworks
- Hands on experience in developing, testing and deployment solution
- Fully hands on coding experience in Python or Java
- Deep knowledge of large-scale data systems (batch & streaming)
- Expertise in creating robust, scalable data pipelines
- Strong understanding of ML pipelines, feature engineering, and AI lifecycle needs
- Advanced SQL and data modeling skills
- Cloud experience with enterprise-scale AI and data workloads Domain & Soft Skills
- Strong telecom data and operations knowledge
- Ability to translate complex technical designs into business value
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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