Software Engineering Manager (Gen AI)

What will your job look like Lead the design and implementation of GenAI and ML-based solutions across business use cases. Translate business requirements into technical architectures using Azure/AWS Cloud Platforms . Manage and mentor a multidisciplinary team of engineers, data scientists, and ML specialists . Drive adoption of Databricks , PySpark , and Java-based frameworks within solution development. Collaborate closely with product owners, data engineering teams, and business stakeholders. Ensure high standards in code quality, system performance, and model governance . Track industry trends and continuously improve the GenAI strategy and roadmap. Oversee end-to-end lifecycle: use case identification, PoC, MVP, production deployment, and support. Define and monitor KPIs to measure team performance and project impact. All you need is... 13+ years of overall IT experience with a strong background in Telecom domain (preferred). Proven hands-on experience with GenAI technologies and Machine Learning pipelines . Strong understanding of LLMs , Prompt Engineering , RAG (Retrieval-Augmented Generation) , and fine-tuning. Demonstrated experience in building and deploying GenAI use cases on Azure or AWS . Strong expertise in Databricks , PySpark , and Java . In-depth understanding of cloud-native architecture , microservices , and data pipelines . Solid people management experience: team building, mentoring, performance reviews. Strong analytical thinking and communication skills. Good to Have Skills: Familiarity with LangChain, HuggingFace Transformers , and Vector Databases (like FAISS, Pinecone). Experience with Data Governance , MLOps , and CI/CD for AI/ML models. Certification in Azure/AWS (e.g., Azure AI Engineer, AWS Certified Machine Learning). Exposure to NLP , speech models , or multimodal AI . Why you will love this job: You will be challenged with leading and mentoring a few development teams & projects You will join a strong team with lots of activities, technologies, business challenges and a progression path You will have the opportunity to work with the industry most advanced technologies