Senior Manager

Description

Summary: Seeking a highly skilled GenAI Application Lead to design, develop, test, and deploy Generative AI applications focused on Data and Analytics in the Life Sciences domain. Highlights: 1. Lead end-to-end architecture and design of Generative AI applications. 2. Develop GenAI-powered frontends and integrate LLMs into enterprise applications. 3. Drive knowledge-sharing and thought leadership in GenAI for Life Sciences. **Position Summary** -------------------- **Highly skilled GenAI Application Leads with 8 to 15 years of total experience** who can lead the design, development, testing, and deployment of Generative AI–based applications **focused on Data and Analytics in Life Sciences domain**. The ideal candidate will have a strong background in Python, RAG, knowledge graphs, Gen AI/LLM frameworks (LangChain, LangGraph), AWS/Azure cloud services with hands\-on experience integrating and fine\-tuning GPT, Anthropic Claude, Mistral, or Snowflake Cortex for real\-world business use cases. Strong client problem\-solving skills across life sciences data and analytics is a plus. This role bridges AI engineering, data analytics, and full\-stack development, creating intelligent applications that augment data\-driven decision\-making. **Job Responsibilities** ------------------------ * **Solution Architecture \& Design** * Lead the **end\-to\-end architecture and design** of Generative AI applications * Define solution blueprints combining LLMs, Retrieval\-Augmented Generation **(RAG),** Knowledge Graphs for **structured and unstructured data sources.** * Translate business requirements into **modular AI workflows**, ensuring scalability, security, and performance. * Evaluate and recommend **GenAI frameworks/tools (LangChain, LangGraph, Semantic Kernel, etc.)** * Collaborate with data engineers and pharma domain experts to design semantic data models and **context\-aware knowledge base**. * **Gen AI Application Development \& Engineering** * **Lead full\-stack design and development using Python** (**FastAPI**, Flask) and **React**/Next.js for GenAI\-powered frontends. * **Build microservices or API layers** that expose AI functionalities securely across teams and systems. * Ensure robust CI/CD pipelines, version control (GitHub, Bitbucket, GitLab), and containerization (Docker, Kubernetes). * Design and develop user\-centric applications that embed GenAI outputs seamlessly into custom UI or enterprise BI tools like Power BI * Work with data engineering and analytics teams to **connect GenAI apps to existing data ecosystems** (AWS S3, Azure Data Lake, Snowflake, Databricks, etc.) * Use **knowledge graphs and metadata\-driven approaches** to enhance contextual reasoning and data discovery * Deploy AI workloads using **Azure OpenAI,** AWS Sagemaker, Bedrock, or **Snowflake Cortex AI Services**. * **AI Model Integration \& Fine\-tuning** * Lead the integration of LLMs (OpenAI GPT, Anthropic Claude, Mistral, Snowflake Cortex, etc.) into enterprise\-grade applications. * Fine\-tune or prompt\-tune foundation models using domain\-specific data (commercial, patient, Omni \-channel, clinical, or market access data). * Design and implement RAG architectures leveraging vector databases (ChromaDB, Pinecone, FAISS, Weaviate etc.). * Develop prompt engineering frameworks and guardrails to ensure factuality, interpretability, and compliance. * Establish evaluation pipelines for model performance, accuracy, latency, and hallucination detection. * **Leadership \& Collaboration** * Lead a cross\-functional GenAI development team of engineers, business analysts, data scientists, and UI developers. * Stay ahead of the curve with emerging LLM architectures, multi\-agent systems, and reasoning frameworks to provide technical guidance to the teams. * Drive **knowledge\-sharing sessions and PoCs** **to evangelize Generative AI adoption** across the organization. * Contribute to Gen AI use case roadmaps, thought leadership relevant to GenAI in Life Sciences. **Education** ------------- BE/B.Tech Master of Computer Application**Work Experience** ------------------- **Highly skilled GenAI Application Leads with 8 to 15 years of total experience** who can lead the design, development, testing, and deployment of Generative AI–based applications **focused on Data and Analytics in Life Sciences domain**. The ideal candidate will have a strong background in Python, RAG, knowledge graphs, Gen AI/LLM frameworks (LangChain, LangGraph), AWS/Azure cloud services with hands\-on experience integrating and fine\-tuning GPT, Anthropic Claude, Mistral, or Snowflake Cortex for real\-world business use cases. Strong client problem\-solving skills across life sciences data and analytics is a plus. **Behavioural Competencies** ---------------------------- Teamwork \& Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management**Technical Competencies** -------------------------- Problem Solving Lifescience Knowledge Communication Project Management Capability Building / Thought Leadership AIML Python React Azure ML Studio AWS CodeBuild ML Data Science**Skills** ----------