We are seeking a GenAI Architect & People Manager with strong technical depth and leadership capabilities to lead our GenAI initiatives. The ideal candidate will possess a robust understanding of Generative AI , Machine Learning , and Cloud-based solution delivery , combined with proven experience in managing high-performing technical teams.
This role requires a visionary who can translate business challenges into scalable AI solutions while nurturing talent and fostering innovation.
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 (eg, 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
Job Classification
Industry: Telecom / ISP Functional Area / Department: Engineering - Software & QA, Role Category: Software Development Role: Engineering Manager Employement Type: Full time