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Tier-1 brand and metro location increase applicant density despite niche GenAI specialization.
Highly specialized GenAI architecture requirements reduce transferability across industries.
Explicit 10+ years requirement and many mandatory GenAI architecture technologies make shortlisting highly strict.
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Architect scalable Generative AI and Agentic AI systems using cloud-native and modern software engineering principles.
Translate business objectives into AI-driven solutions delivering measurable impact in Ericsson's BSS and OSS portfolio.
Collaborate and mentor engineering teams on AI best practices, architecture, and development, focusing on production-grade AI applications for large-scale data processing.
10+ years of software development experience with at least 3 years in AI Systems Engineering or AI Architecture.
Hands-on expertise in GenAI technologies including Hugging Face LLMs/SLMs, OpenAI GPT, Claude, and prompt engineering.
Proficiency in Python and Java/Scala, with experience in distributed computing platforms like Apache Spark and AI frameworks like Torch.
Experience building production-grade, token efficient, low latency, and resilient Generative AI applications with orchestration frameworks such as Langchain and multi-agent orchestration patterns.
Experienced AI architect capable of designing enterprise-scale AI systems with strong focus on Generative AI and multi-agent orchestration.
Practitioner familiar with integrating AI capabilities into complex telecom IT products and platforms.
Operator who can lead cross-functional collaboration and mentor teams on AI architecture and engineering best practices in a large-scale telecom environment.