Senior Manager Technology

Role Overview: You will be a Python Developer at Publicis Sapient, contributing to the design and development of infrastructure interfaces for complex business applications. Your role will involve building and orchestrating agentic, GenAI-powered workflows to transform how clients operate, from data ingestion and enrichment to intelligent automation. Your ideas, thoughts, and solutions will play a crucial role in shaping the company's mission to transform the world. Key Responsibilities: - Build and orchestrate agentic workflows using LangChain and LangGraph for scalable GenAI solutions. - Develop reusable components for data ingestion, transformation, enrichment, and validation to accelerate project delivery. - Ensure reliability, scalability, and traceability across agent workflows for dependable, enterprise-grade AI applications. - Implement performance monitoring and tuning mechanisms to improve agent accuracy and efficiency. - Deploy and maintain Python-based GenAI services in production, leveraging Bitbucket, Git, and CI/CD tools. - Architect secure API communication and access management using JWT, OAuth, and RBAC to safeguard client data. - Apply NLP, LLM, and retrieval techniques, including vector stores and embeddings, to build intelligent solutions for clients. Qualifications Required: - Strong Python fundamentals with hands-on experience in Pandas, NumPy, PySpark, or Dask. - Hands-on experience with LangChain, LangGraph, and Semantic Kernel for building agent workflows. - Proficiency in Python API frameworks like Flask/FastAPI and experience with IDEs such as VSCode and PyCharm. - Working knowledge of SQL/NoSQL databases, time-series data, and data modeling. - Basic integration experience with TensorFlow or PyTorch and exposure to vector databases and embedding-based retrieval. - Proficiency with AWS Cloud Services, Bitbucket, Git, and CI/CD tools for production deployment. - Strong understanding of security, JWT, OAuth, RBAC, and secure API communication. Additional Details about the Company: Publicis Sapient is a digital transformation partner that helps established organizations transition to their digitally enabled future. With a focus on strategy, consulting, customer experience, and agile engineering, the company aims to accelerate clients' businesses by designing products and services that customers truly value. With over 20,000 employees in 53 global offices, Publicis Sapient combines technology, data sciences, consulting, and customer obsession to drive innovation and growth. (Note: The 'Additional Information' section has been omitted as it does not contain specific details relevant to the job description.) Role Overview: You will be a Python Developer at Publicis Sapient, contributing to the design and development of infrastructure interfaces for complex business applications. Your role will involve building and orchestrating agentic, GenAI-powered workflows to transform how clients operate, from data ingestion and enrichment to intelligent automation. Your ideas, thoughts, and solutions will play a crucial role in shaping the company's mission to transform the world. Key Responsibilities: - Build and orchestrate agentic workflows using LangChain and LangGraph for scalable GenAI solutions. - Develop reusable components for data ingestion, transformation, enrichment, and validation to accelerate project delivery. - Ensure reliability, scalability, and traceability across agent workflows for dependable, enterprise-grade AI applications. - Implement performance monitoring and tuning mechanisms to improve agent accuracy and efficiency. - Deploy and maintain Python-based GenAI services in production, leveraging Bitbucket, Git, and CI/CD tools. - Architect secure API communication and access management using JWT, OAuth, and RBAC to safeguard client data. - Apply NLP, LLM, and retrieval techniques, including vector stores and embeddings, to build intelligent solutions for clients. Qualifications Required: - Strong Python fundamentals with hands-on experience in Pandas, NumPy, PySpark, or Dask. - Hands-on experience with LangChain, LangGraph, and Semantic Kernel for building agent workflows. - Proficiency in Python API frameworks like Flask/FastAPI and experience with IDEs such as VSCode and PyCharm. - Working knowledge of SQL/NoSQL databases, time-series data, and data modeling. - Basic integration experience with TensorFlow or PyTorch and exposure to vector databases and embedding-based retrieval. - Proficiency with AWS Cloud Services, Bitbucket, Git, and CI/CD tools for production deployment. - Strong understanding of security, JWT, OAuth, RBAC, and secure API communication. Additional Details about the Company: Publicis Sapient is a digital transformation partner that helps established organizations transition to their digitally enabled future. With a focus on strategy, consulting, customer experience, and agile engineering, the company aims to accelerate clients' businesses by des