We are looking for GenAI Solution Designer and Developer for our client in Dallas, TX . Job Title: GenAI Solution Designer and Developer Job Location: Dallas, TX Job Type: Contract Job Overview: Requirement/Must Have: 1+ years of GenAI Solution Design & Development experience. Experience in designing and building LLM-powered applications using RAG, embeddings, and vector search architectures. Experience in developing Copilot-based AI assistants and agents for enterprise use cases such as automation, Q&A, and workflow orchestration. Experience in engineering end-to-end GenAI pipelines including prompt engineering, context handling, and response orchestration. Experience in building reusable AI components (agents, pipelines, guardrails) to accelerate solution delivery. Experience in developing and customizing copilots using Microsoft Copilot Studio / Azure Foundry. Experience in integrating copilots with enterprise systems (ERP, CRM, ServiceNow, APIs). Experience in designing conversational workflows, triggers, and automation actions. Experience in enabling enterprise-grade features such as role-based access and identity integration. Experience in knowledge grounding using enterprise data. Experience in implementing responsible AI guardrails (toxicity, hallucination control). Experience in developing AI-powered applications using Snowflake Cortex AI functions and Snowpark. Experience in implementing vector search, semantic models, and AI-driven analytics workflows. Experience in integrating structured and unstructured data pipelines to support AI models. Experience in building self-service AI capabilities on data platforms with governance and cost optimization. Experience in building and deploying models using Azure OpenAI, AWS Bedrock, or similar platforms. Experience in creating scalable pipelines for model deployment, monitoring and observability, and continuous improvement loops. Responsibilities: Design and build LLM-powered applications using RAG, embeddings, and vector search architectures. Develop Copilot-based AI assistants and agents for enterprise use cases. Engineer end-to-end GenAI pipelines including prompt engineering, context handling, and response orchestration. Build reusable AI components to accelerate solution delivery. Develop and customize copilots using Microsoft Copilot Studio / Azure Foundry. Integrate copilots with enterprise systems. Design conversational workflows, triggers, and automation actions. Enable enterprise-grade features such as role-based access and identity integration. Implement responsible AI guardrails. Develop AI-powered applications using Snowflake Cortex AI functions and Snowpark. Implement vector search, semantic models, and AI-driven analytics workflows. Integrate structured and unstructured data pipelines to support AI models. Build self-service AI capabilities on data platforms. Build and deploy models using Azure OpenAI, AWS Bedrock, or similar platforms. Create scalable pipelines for model deployment, monitoring, and observability. Nice to Have: Implement AI guardrails, evaluation frameworks, and feedback loops for production systems. Leverage tools like GitHub Copilot for code generation, test automation, debugging, and documentation. Automate SDLC activities using GenAI. Enable developer productivity improvements and automation-first engineering. Align business priorities with AI outcomes. Define and curate strategy for model training, inference, and monitoring. Integrate GenAI into enterprise workflows. Skills: Hands-on knowledge of data models, SQL, and data lifecycle management. Strong knowledge of AI/ML algorithms, data structures, and performance optimization. Proficiency in programming languages such as Python, SQL, and PySpark. Experience with cloud platforms (AWS, Azure) and big data technologies (Spark, Snowflake).
For applications and inquiries, contact: hirings@openkyber.com
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