- Capgemini (Houston, TX)
- …Azure, etc.). . Contribute to AI readiness by supporting active data management, semantic layers, and metadata enablement. **YOUR PROFILE** _We would love to see a ... operationalizing data governance and management processes. . Familiarity with knowledge management, semantic layers, and metadata management is a plus. . Exposure to… more
- Highmark Health (Austin, TX)
- …data is globally registration, accessed, and delivered through a "Unified Access Tier"/ Semantic Layer for both humans, automation, and AI systems. In this role, you ... Healcare, FSI, government, etc.). + 2-5 years of Enterprise level experience with Semantic Layers. An ideal candidate will have experience with Starburst or Dremio.… more
- Meta (Austin, TX)
- …systems that use AI tech like large language models, vector databases, and semantic understanding to give employees better experiences 12. Pioneer new ways to ... Experience implementing AI-enhanced content solutions, including machine learning classification, semantic search, or conversational AI systems 25. Experience with… more
- RxBenefits (Houston, TX)
- …such as: Integrating LLM APIs Building embeddings, vector stores, or semantic search Fine-tuning prompt engineering for LLM-based systems Implementing Retrieval ... Augmented Generation (RAG) patterns . Experience consuming or integrating machine learning models in production applications . Solid understanding of RESTful API design, microservices, and distributed systems . Strong foundation in data structures, algorithms,… more
- US Bank (Irving, TX)
- …and deploying GenAI, Agentic AI Applications using either MCP, LangChain, LangGraph, Semantic Kernel, autogen, Azure AI Foundry + Developing solutions using RAG ... architecture patterns and vector databases utilizing Azure AI Services, FAISS etc., + Good at GitHub Copilot for accelerated development and understanding on Copilot Studio. + Fundamental understanding of AI/ML models, prompt engineering. + Knowledge on SDLC… more
- NTT DATA North America (Plano, TX)
- …modeling → consumption). + Define data‑product strategy, domain boundaries, and semantic models that enable self‑service analytics. + Establish scalable ETL/ELT ... patterns using tools like Databricks, Snowflake, Synapse, Glue, or BigQuery. + Lead modernization roadmaps-migrating legacy warehouses, integrating real‑time pipelines, and automating CI/CD & IaC. + Partner with stakeholders to translate business use‑cases… more
- Oracle (Austin, TX)
- …Skills:** + Experience with LLMs and agentic frameworks (eg, MCP, LangChain, CrewAI, Semantic Kernel). + Knowledge of RAG pipelines and vector DBs (eg, 26ai ... (SelectAI), FAISS, Pinecone, Weaviate). + Familiarity with OCI Gen AI Services and model lifecycle workflows. + Solid Python and REST API skills. + Exposure to building autonomous agents and orchestration pipelines. + Experience working with cloud platforms… more
- Insight Global (Spring, TX)
- …Implement advanced prompt orchestration techniques using frameworks like LangChain or Semantic Kernel to build complex AI agents and workflows. Retrieval-Augmented ... Generation (RAG): Build and optimize RAG pipelines by integrating Azure OpenAI models with internal data sources Utilize services like Azure AI Search to ground models with proprietary information, ensuring accurate and contextually relevant responses… more
- CAE USA INC (Arlington, TX)
- …Mistral, etc.) for various NLP tasks such as summarization, question answering, semantic search, and chatbots. + Develop scalable and efficient model serving ... infrastructure using tools like ONNX, TensorRT, DeepSpeed, or vLLM. + Implement retrieval-augmented generation (RAG) pipelines using vector databases (eg, FAISS, Weaviate, Pinecone, Milvus). + Optimize LLM inference for latency, throughput, and cost across… more
- Oracle (Austin, TX)
- …with building and deploying AI assistants, agentic frameworks, vector databases, semantic enrichment processes, and the orchestration of enterprise AI workflows. ... Ability to translate complex enterprise AI requirements into actionable Oracle cloud-based solutions. + **AI/ML Solution Engineering in Lakehouse Contexts** - Advanced capability in designing and operationalizing scalable data pipelines, MLOps workflows, and… more