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Build and deploy assistive AI/ML features for a Medicaid provider-enrollment platform using Azure AI Foundry, RAG, and document intelligence, with strict governance and HIPAA controls.
Builds and optimizes large-scale data pipelines and search systems using Python, Spark, and SQL, with a focus on indexing, relevance tuning, and knowledge graphs.
Design and lead enterprise Databricks Lakehouse platforms on AWS/Azure/GCP, including Unity Catalog, Delta Live Tables, and ML pipelines, while enforcing data governance and cost optimization.
Leads end-to-end machine learning projects, architecting and deploying AI models to solve business problems while mentoring teams and collaborating with cross-functional partners in a commercial software company.
Builds and maintains robust LLM-based AI agents and RAG pipelines, designs multi-step reasoning workflows, and implements quality evaluation frameworks to ensure reliable, production-grade AI systems.
Build and maintain AI/ML integrations for ClickHouse, including Python connectors, vector stores for RAG, and feature stores, enabling developers to use ClickHouse in AI workflows.
Build and govern secure data pipelines and AI integrations for a Pega-based VA solution, connecting enterprise data to anomaly detection, predictive analytics, and AI-assisted workflows.
Build and maintain cloud infrastructure for an enterprise AI platform, ensuring reliability, scalability, and performance while automating operations and improving developer experience.
Designs and deploys AI workflows and agents using enterprise tools like Claude Enterprise, ChatGPT Enterprise, and n8n to automate business processes and build an internal AI platform.
Build and deploy AI-powered backend services and agentic systems using Kotlin/Java and modern AI orchestration frameworks to automate workflows and enhance Target’s CircleCard platform.
Build and deploy AI-powered financial services using LLMs, agentic systems, and vector search; design scalable Kotlin/Java microservices with Kafka and PostgreSQL.
Build and own recommendation features for a fintech platform serving private equity, lenders, and advisors using classical ML and embeddings on social/transaction data.
Lead a team to design and deploy AI/ML, Generative AI, and Agentic AI solutions on AWS and GCP for healthcare use cases, ensuring compliance and rapid delivery of production-grade systems.
Sr Mgr Data Management Location: Bangalore, Karnataka, India Remote Type: Fully Onsite Time Type: Full time Job Description At Johnson & Johnson, we believe health is everything. Our strength in healthcare…
The Principal AI Engineer is a role where the domain is the entire business. The Principal AI Engineer will work directly with teams across Finance, Team and Culture, Operations, Sales, Purchasing, and Land to…
Build and deploy production-grade generative AI systems for insurance workflows using LLMs, LangGraph, FastAPI, and Azure/Databricks.
Build AI-powered automation and conversational agents using Microsoft Copilot, Power Platform, and Azure AI; integrate APIs and enterprise data with prompt engineering and RAG.
Lead AI-driven compliance tools for investment workflows, building generative AI assistants, semantic search, and agentic systems on BlackRock’s Aladdin platform.
Leads architecture and delivery of enterprise-scale GenAI and agentic AI systems on GCP, defining standards, pipelines, and guardrails to power AI-native travel retailing platforms.
Architect and implement generative AI solutions on SAP BTP, designing RAG pipelines, knowledge graphs, and LangChain orchestration to embed LLMs into enterprise SAP applications.
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