Gen AI Manager

Role & responsibilities

• Lead the development of Generative AI models using frameworks like Hugging Face Transformers, LangChain, and LlamaIndex.
• Architect and manage multi-modal AI systems integrating text, image, and structured data inputs.
• Implement and optimize LLM agents, retrieval-augmented generation (RAG), and vector database integrations.
• Utilize Google Cloud services such as Vertex AI, BigQuery, Cloud Storage, and AI Platform for scalable model deployment.
• Collaborate with cross-functional teams to align GenAI solutions with business goals and product strategies.
• Ensure scalability, performance, and security of deployed AI systems.
• Mentor and guide ML engineers and data scientists in GenAI best practices.
• Manage project timelines, budgets, and stakeholder expectations effectively.

Preferred candidate profile

• Bachelors or Masters degree in Computer Science, AI, Data Science, or related field.
• Minimum 6 years of experience in AI/ML, with at least 2 years in Generative AI.
• Strong hands-on experience with LLMs, transformers, LangChain, LlamaIndex, and vector databases.
• Proficiency in Python, TensorFlow, PyTorch, and data manipulation tools like Pandas and NumPy.
• Experience with Google Cloud services and MLOps pipelines.
• Excellent communication, leadership, and stakeholder management skills.
• Experience in product management or leading GenAI product development cycles.
• Familiarity with multi-agent architectures, cache databases, and AI-specific utilities.
• Exposure to enterprise-scale AI deployments and automotive domain.