Gen AI Manager

Data Science Manager Generative AI

Role Summary

We are seeking a Data Science Manager – Generative AI to lead the design, development, and deployment of GenAI solutions that drive business impact. This role blends people leadership, advanced machine learning expertise, and product thinking, with a strong focus on Large Language Models (LLMs), multimodal models, and AI-driven applications.

You will manage a team of data scientists and ML engineers, partner closely with product and engineering leaders, and ensure GenAI initiatives move from experimentation to scalable, responsible production systems.

Key Responsibilities

Leadership & Strategy

• Lead, mentor, and grow a team of data scientists working on GenAI and advanced ML initiatives
• Define GenAI roadmap aligned with business and product strategy
• Translate ambiguous business problems into actionable AI solutions
• Drive best practices for model development, evaluation, and deployment

Generative AI & Machine Learning

• Design and oversee solutions using LLMs, embeddings, RAG pipelines, fine-tuning, and prompt engineering
• Evaluate and select foundation models (OpenAI, Anthropic, open-source models, etc.)
• Guide experimentation with multimodal AI (text, image, audio, video)
• Ensure model quality, robustness, fairness, and explainability

MLOps & Productionization

• Partner with engineering to deploy GenAI systems at scale
• Establish MLOps standards: versioning, monitoring, retraining, and cost optimization
• Ensure performance, latency, security, and reliability of GenAI systems

Stakeholder & Product Collaboration

• Work closely with Product Managers to define AI-driven features and success metrics
• Communicate complex AI concepts to non-technical stakeholders and executives
• Support go-to-market and customer-facing GenAI capabilities

Governance & Responsible AI

• Implement responsible AI practices, including privacy, compliance, and risk mitigation
• Ensure ethical use of GenAI models and adherence to regulatory standards

Required Qualifications

• Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related field
• 6+ years of experience in data science, machine learning, or AI roles
• 2+ years of people management or technical leadership experience
• Strong hands-on experience with Generative AI and LLMs
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)
• Experience with cloud platforms (AWS, GCP, Azure)
• Solid understanding of statistics, experimentation, and model evaluation

Preferred Qualifications

• Experience deploying RAG systems, fine-tuned LLMs, or agent-based architectures
• Familiarity with vector databases (FAISS, Pinecone, Weaviate, Milvus)
• Experience with MLOps tools (MLflow, Kubeflow, Airflow)
• Background in NLP, conversational AI, or search/recommendation systems
• Experience working in regulated or enterprise environments