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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Snowflake Advanced AI Solution Lead - **Company:** Accenture - **Location:** Houston, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, ARM Architecture, Big Data, Cloud Computing, DevOps, Distributed Systems, Machine Learning, Large Language Models, Snowflake, Deep Learning, Machine Learning Operations, Data Pipelines - **Published:** August 11, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/snowflake-advanced-ai-solution-lead-houston-tx-usa-58902196 ## About the Role and data preprocessing to ensure high-quality training inputs * Implement and maintain efficient data storage/retrieval for models and knowledge * Justify model approaches in business terms * Collaborate with cross-functional teams to achieve end-to-end production goals Tasks * Minimum 5 years of experience as a machine learning engineer/scientist deploying models in production at scale * Minimum 5 years of experience in distributed computing systems and architecture * Minimum 2 years of experience building and deploying AI/ML software to a cloud environment * Experience with Snowflake Cortex AI - Cortex Agents, Cortex Analyst, Cortex Search * Bachelor's degree or equivalent work experience * Strong written and verbal communication skills; client-facing consulting experience * Entrepreneurial mindset with curiosity for emergent tech and innovation Key requirements * medical, dental, vision, life, and long-term disability * 401(k) plan * bonus opportunities * paid holidays * aay _ time off ## Description Experteer Overview As Snowflake Advanced AI Solution Lead, you design, build, and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud and third-party services to deliver production-ready outcomes. You cover the full solution lifecycle-from needs assessment to MLOps pipelines-focusing on scalable data, model optimization, and reliable production systems. You will collaborate with business and technical teams to solve real-world problems and drive value. This role offers exposure to Gen AI, LLMs, and high-performance compute in a dynamic, innovation-driven environment. Compensation / Benefits * Formulate real-world problems into practical, scalable AI/ML solutions * Develop and implement ML models and scalable data pipelines with DevOps & MLOps * Customize Deep Learning and Gen AI models for business use cases, including edge and HPC * Engage in R&D of new AI/HP compute algorithms and simulations for client problems * Work with large-scale datasets and data preprocessing to ensure high-quality training inputs * Implement and maintain efficient data storage/retrieval for models and knowledge * Justify model approaches in business terms * Collaborate with cross-functional teams to achieve end-to-end production goals Tasks * Minimum 5 years of experience as a machine learning engineer/scientist deploying models in production at scale * Minimum 5 years of experience in distributed computing systems and architecture * Minimum 2 years of experience building and deploying AI/ML software to a cloud environment * Experience with Snowflake Cortex AI - Cortex Agents, Cortex Analyst, Cortex Search * Bachelor's degree or equivalent work experience * Strong written and verbal communication skills; client-facing consulting experience * Entrepreneurial mindset with curiosity for emergent tech and innovation Key requirements * medical, dental, vision, life, and long-term disability * 401(k) plan * bonus opportunities * paid holidays * paid time off ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Architecting the Future: Leveraging AI, Cloud, and Data for Business Success](https://www.wearedevelopers.com/videos/1096-architecting-the-future-leveraging-ai-cloud-and-data-for-business-success) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)