The Role
Lead and architect enterprise GenAI/LLM solutions, deploy production LLMs and RAG/agentic systems, integrate models with enterprise systems, guide prompt engineering, mentor teams, and manage AI/ML projects from concept to delivery.
Summary Generated by Built In
Lead Data Scientist – GenAI
Experience: 10–12+ Years
Location: Cairo, Egypt (Onsite)
Employment Type: Full-Time
NorthBay Solutions is seeking a Lead Data Scientist with deep expertise in GenAI, AI/ML, and enterprise architecture. This senior role will lead AI initiatives, mentor technical teams, and deliver complex AI solutions across cloud, on-premises, and hybrid environments.
Key Responsibilities- Lead the design and architecture of AI-powered enterprise solutions.
- Drive technical decisions across infrastructure, databases, APIs, microservices, and AI components.
- Lead Agentic AI, multi-agent systems, and RAG workflow implementations.
- Deploy LLMs and GenAI applications in production environments.
- Provide guidance on prompt engineering, Chain-of-Thought, and advanced AI/ML techniques.
- Integrate AI/ML models with enterprise systems for high performance and scalability.
- Mentor and manage technical teams, ensuring knowledge transfer and best practices.
- Lead AI/ML projects from conceptualization to delivery, including cloud and hybrid deployments.
- GenAI Expertise: 3+ years hands-on experience with LLM fine-tuning and production deployment.
- AI/ML & Enterprise Architecture: 5+ years in Python, TensorFlow, PyTorch, full-stack development, Kubernetes, SQL/NoSQL databases, APIs, and microservices.
- Cloud & Deployment: Strong experience with AWS/Azure/GCP, SageMaker, Bedrock, Lambda, API Gateway.
- DevOps & CI/CD: Experience managing pipelines for ML/AI production systems.
- Cloud certifications (Solutions Architect + ML Specialty preferred).
- Agile/Scrum leadership experience.
- Excellent communication skills bridging business and technical stakeholders.
Skills Required
- 10-12+ years of experience
- 3+ years hands-on experience with LLM fine-tuning and production deployment
- 5+ years with Python, TensorFlow, PyTorch
- Experience with Kubernetes, SQL/NoSQL databases, APIs, and microservices
- Strong experience with AWS, Azure, or GCP and services such as SageMaker, Bedrock, Lambda, API Gateway
- Experience managing DevOps and CI/CD pipelines for ML/AI production systems
- Experience in enterprise AI/ML architecture and deploying solutions in cloud, on-premises, and hybrid environments
- Cloud certifications (Solutions Architect and ML Specialty)
- Agile/Scrum leadership experience
- Excellent communication skills bridging business and technical stakeholders
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The Company
What We Do
NorthBay is an AWS Premier Partner focused on Database & Application migrations, data & analytics, DevOps & DataOps, application modernization and ML/Ai. Our practice areas include big data and analytics, machine learning, artificial intelligence and database migrations.
