Architect-GenAI & Agentic Solutions

At Ericsson, the Development Group Artificial Intelligence (DG AI) within BCSS SA BOS Engineering PDU D&A is leading the AI transformation of Ericsson's BSS and OSS portfolio. Our focus areas include Telco IT AI Applications, the Telco IT AI Engine (TAIE), and the Telco-IT Agentic Studio (TAAS).

Responsibilities

Translate business objectives into impactful AI-driven solutions that deliver measurable value; Design and architect scalable Generative AI and Agentic AI systems using modern software engineering and cloud-native principles; Develop and implement high-quality solutions aligned with established product development practices; Build AI applications capable of processing large-scale data efficiently in production environments; Collaborate closely with data scientists, software engineers, product teams, and stakeholders to integrate AI capabilities into products and platforms; Mentor and guide engineering teams on AI best practices, architecture, and development methodologies

Requirements

GenAI expertise – Hands-on experience with Hugging Face LLMs & SLMs, OpenAI GPT, Claude, Mistral AI models, Hugging Face and Open AI Embedding models, Prompt engineering; RAG based application development (creation, retrieval, ranking etc.), document processing, parsing, chunking (HTML, Word, PDF, Excel etc.), semantic search, vector databases (Opensearch); Experience of building and deploying production grade token efficient, low latency, resilient and reliable applications with Gen AI orchestration (Langchain) and Agentic framework (LangGraph/Crew.ai); Hands-on experience with multi-agent orchestration patterns (React, Chain of thought, ReWoo, Supervisor, Plan and Solve etc), context engineering, agent memory (short and long), MCP and A2A protocol, Skills; Gen AI application Testing, deployment, monitoring and evaluation (Langfuse, deep eval, ragas, LLM as judge), Integrating Guardrails for securing Agents; Programming language – Python, Java/Scala. Experience with data processing libraries like Pandas, NumPy, and Scikit-learn; Proficient in distributed computing platform Apache Spark (PySpark, Scala), Torch etc; 10+ years of software development experience, including 3+ years in AI Systems Engineering, AI Architecture, or related roles; Strong experience designing and deploying enterprise-scale AI applications; All academic credentials must be from recognized and accredited institutions and are further subject to verification.