Senior Data Science Lead (Gen AI/ Agentic AI) - Vice President
Core
Lead the architecture, design, and development of mission-critical, production-grade Generative AI applications and Agentic solutions, driving strategy for business process redesign with advanced agent architecture.
Role type
Senior IC machine-learning engineer (agentic AI) / Manager-track VP
Builds
Production-grade Generative AI applications and Agentic solutions
Domain
Financial services, Generative AI, Agentic AI
Deliverable
production ML models
Required skills
Generative AI solution design, Deep Learning, Machine Learning algorithms, Prompt Engineering, Retrieval Augmented Generation (RAG), Langgraph, Langchain frameworks, LLM fine-tuning, Python, PySpark, SQL, Hive, data manipulation, exploratory data analysis, data visualization, hypothesis testing, predictive modeling, performance optimization, agent architecture design, memory management, hallucination control, reinforcement learning-based feedback loops, MLOps, Model Governance, program/project management, Agile processes
Preferred skills
Cloud environments, Spark, Hive, shell scripting, bash, Git/GitHub, financial services compliance, security, performance management
Technologies
Langgraph, Langchain, Google ADK, PySpark, Hive, Python, SQL
Responsibilities
Lead the architecture, design, and development of mission-critical, production-grade Generative AI applications and Agentic solutions; Define and own the technical roadmap for AI platforms; Drive the strategy for designing and redesigning business processes with Agentic solutions; Lead and mentor a team of engineers and data scientists; Champion and enforce best practices for compliance, security, MLOps, and Model Governance; Engage with senior stakeholders to translate business needs into technical strategy; Stay at the forefront of AI research and industry trends
Seniority
Senior, hands-on IC / Manager-track VP