AI Architect with Python, Google Cloud Platform, GenAI and Agentic AI

Role: Gen AI Architect, on-site in Edison, New Jersey - Full-time Job description: 398037/-HE Experience Required: 15- 25 + Years Must Have Technical/Functional Skills Mandatory Skills: GenAI Application Development ExpertiseProgramming Languages: PythonDevelopment Tools: LangChain, LlamaIndex, LangFlow, Langgraph, LangSmith, FlowiseTechniques: RAG TechniquesDatabases: Vector Databases (Pinecone, Weaviate, Qdrant)Additional Technologies: Knowledge Graphs, FastAPI, Streamlit, Gradio Domain Model

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn m

Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive scale. You'll participate in the detailed technical design, development, and implementation of complex machine learning applications leveraging cloud-native platforms. You'll focus on building robust ML

Strong proficiency in Python (3.x) Solid understanding of Data Structures & Algorithms Hands-on experience with NumPy, Pandas, Scikit-learn Experience with TensorFlow or PyTorch Strong knowledge of NLP and Deep Learning concepts Experience with REST APIs (FastAPI / Flask / Django) Experience working with large datasets Understanding of model evaluation metrics