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Build and maintain scalable data pipelines for Roche’s pharma R&D, integrating clinical trial systems and AI/ML infrastructure using Python, Spark, and vector databases.
Lead AI and Python development teams to design, build, and deploy machine-learning solutions in the cloud using Agile practices.
Lead a team to design and deliver Python-based GenAI solutions, guiding architecture, cloud deployment, and responsible AI practices for enterprise clients.
Lead the design and deployment of enterprise-scale AI/ML and LLM solutions, including generative AI, RAG, and knowledge graphs, while mentoring teams and ensuring Responsible AI compliance.
Build and scale enterprise-grade full-stack apps using React, Node.js, and cloud services, integrating AI features like copilots and RAG while ensuring performance and security.
Designs and governs scalable data architectures on Azure, migrating legacy systems to modern cloud platforms and enabling AI-driven analytics for public-sector clients.
Lead AI engagements, design full-stack systems, and deploy production-ready prototypes using React, Python, and RAG architectures for enterprise clients in Kyndryl’s Frisco lab.
Company: Marsh McLennan Agency Description: We are seeking a talented individual to join our MMA team at Marsh. This role will be based in Pune/Mumbai/Gurgaon. This is a hybrid role that has a requirement of working at…
Build and deploy AI agents and RAG pipelines to automate IT tasks and improve system resilience using LLMs and agent frameworks.
Job Description Summary We are looking for a highly skilled Senior Staff AI & Cloud Solution Architect to lead the design and development of scalable AI platforms and intelligent solutions on AWS. This role…
Builds full-stack web apps in Python (Flask/Django) with React/TypeScript front ends, integrating LLM capabilities via RAG and processing large datasets with PostgreSQL, ArangoDB, and vector search.
Builds and deploys LLM-powered assistants, RAG pipelines, and agent workflows using Python, TypeScript, and AWS services to deliver secure, scalable GenAI solutions for Amgen’s internal productivity and healthcare applications.
Build and structure an internal AI services catalog, integrating NLP pipelines and RAG-based Gen-AI services using Python, Azure OpenAI, and cloud-native tools.
Build AI-driven enterprise systems in .NET/Java/Python to optimize aerospace supply chains, inventory, and production planning, using autonomous agents and LLMs to accelerate rocket development and launch operations.
Designs and governs AI, data and automation solutions for enterprise clients in energy, public and finance sectors, translating business challenges into scalable, secure AI transformations.
Business Analysis of As-Is to Reimagined Workflows Design Solution Features & Functionalities Solution Lifecycle Management: Discovery-Prototype-Production Delivery-Enhancements-Scaling-DevSecOps Operations &…
Build and deploy enterprise-grade generative AI systems (LLMs, RAG, agents) for Citi’s operations, integrating models like GPT-5 and Claude into Python services and APIs.
Design and implement generative AI and machine learning solutions for AWS customers, focusing on Amazon Bedrock, SageMaker, and agentic AI workflows.
Design enterprise-scale data and AI architectures for Fortune 500 customers, integrating cloud data platforms, LLMs, and agentic AI systems while translating business needs into technical solutions.
The application window is expected to close on: 09/18/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team Cisco Data Fabric is…
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