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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Developer- Snowflake Cortex AI - **Company:** Cognizant Technology Solutions Corporation - **Location:** Lansing, MI, United States (Remote available) - **Experience:** Expert - **Salary:** $130,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Software Applications, ARM Architecture, Microsoft Azure, Business Software, Cloud Computing, Cloud Engineering, Information Engineering, Github, Graph Database, Monitoring of Systems, Python (Programming Language), Azure Machine Learning, Search Technologies, Software Construction, Software Engineering, Google Cloud, Enterprise Software Applications, Flask (Web Framework), Delivery Pipeline, Large Language Models, Snowflake, Multi-Agent Systems, Prompt Engineering, Generative AI, Fastapi, Microsoft Fabric, Data Analytics, Machine Learning Operations, Virtual Agents, Restful APIs, Databricks - **Published:** August 27, 2026 - **Apply:** https://dejobs.org/x/x/BCE7284440154101B586F57DEB934D56/job/ ## About the Role * 12+ years of experience in Data Engineering, Analytics, Software Engineering, AI, or related technology disciplines. * 4+ years of experience building Generative AI and LLM-powered applications. * 2+ years of hands-on experience with Snowflake Cortex AI capabilities. * Strong expertise in Snowflake Architecture, Snowpark Python, Cortex AI, Cortex Agents, Cortex Search, Cortex Analyst, and Cortex AI SQL functions. * Experience developing Retrieval-Augmented Generation (RAG) solutions, vector search architectures, semantic models, and AI-driven analytics platforms. * Strong knowledge of Large Language Models (LLMs), prompt engineering, agent orchestration, multi-agent systems, and AI application development. * Hands-on development experience with Python, REST APIs, FastAPI, Flask, LangChain, and LangGraph. * Experience building enterprise-grade AI applications with governance, security, compliance, and responsible AI controls. * Knowledge of CI/CD pipelines, GitHub, cloud-native architectures, and software engineering best practices. * Strong communication, stakeholder management, and technical leadership skills. These will help you stand out * Experience integrating OpenAI, Claude, Llama, Mistral, or other foundation models into enterprise applications. * Knowledge of Knowledge Graphs, Ontologies, Graph Databases, and advanced AI reasoning techniques. * Experience with Model Context Protocol (MCP), AI agent frameworks, and enterprise AI orchestration platforms. * Familiarity with Data Mesh, Data Fabric, MLOps, model monitoring, and AI observability practices. * Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP). * Relevant certifications such as SnowPro Advanced Certification, Snowflake AI Certifications, Microsoft Azure AI Engineer Associate, AWS Machine Learning Specialty, or Databricks Generative AI Certification. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. ## Description As a Senior Developer - Snowflake Cortex AI / Generative AI , you will make an impact by designing and delivering enterprise-scale AI solutions that accelerate business innovation through intelligent automation, advanced analytics, and agentic AI capabilities. You will be a valued member of the Data & AI team and work collaboratively with business stakeholders, architects, data engineers, and AI specialists to build scalable and secure AI-powered applications using Snowflake Cortex AI and modern cloud technologies. In this role, you will: * Design, develop, and deploy enterprise AI solutions utilizing Snowflake Cortex AI, Cortex Agents, Cortex Search, and Cortex Analyst. * Build and optimize Retrieval-Augmented Generation (RAG) solutions, semantic models, and AI-powered analytics capabilities that enable business self-service and intelligent decision-making. * Develop agentic AI applications that leverage multi-agent orchestration, autonomous task execution, tool integration, and advanced reasoning frameworks. * Integrate leading foundation models and large language models (LLMs) into business applications while ensuring scalability, security, governance, and compliance. * Collaborate with business and technology teams to translate requirements into production-ready AI solutions and mentor developers on best practices for Generative AI development. Work model We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the United States. 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