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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solutions Architect - **Company:** Usg Inc. - **Location:** San Diego, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, ARM Architecture, Microsoft Azure, Cloud Computing, Data Files, Extract Transform Load (ETL), Machine Learning, Power BI, Software Engineering, Systems Integration, Google Cloud, Snowflake, AI Platforms, Information Technology, Data Analytics, Virtual Agents - **Published:** September 4, 2026 - **Apply:** https://www.dice.com/job-detail/89d8ef5a-8a37-4880-957c-8aed0941b673 ## About the Role * 5+ years designing, developing, and deploying AI and machine learning solutions * Strong hands-on experience with Snowflake platform, Microsoft Azure services, Power Platform, and M365 * Proven experience in solution architecture - architectural designs and integrating AI solutions with existing systems * Extensive client engagement/consulting experience - requirements gathering and change management * Experience integrating AI solutions with business domains, adhering to industry standards and best practices * Seasoned experience in agile development environments * Experience developing, selling, and delivering technical solutions with measurable client value * Experience in a large-scale (preferably multinational) technology services environment - software development, technical presales, enterprise architecture * Proven ability to lead pilot projects and coordinate cross-functional teams, * Deep AI/ML/data analytics expertise; proven Snowflake platform experience (Cortex Agents, Cortex Analyst, Cortex Search, Snowflake SECRET, Snowflake Intelligence) * Knowledge of Matillion, Power BI; familiarity with AWS/Azure/Google Cloud Platform AI services * Strong problem-solving, dataset interpretation, and AI model development/evaluation skills * Experience with automation technologies and system integration principles * Excellent communication skills - ability to translate technical concepts for non-technical stakeholders Preferred Qualifications: * Bachelor's or Master's in Computer Science, Engineering, Data Science, or related field * Snowflake SnowPro / SnowPro Advanced Data Engineer / SnowPro Advanced Architect certification * Relevant certifications in AI, ML, Data Analytics, and Cloud Computing ## Description * Utilize the Snowflake platform and native components to develop and deploy intelligent agents * Engage with clients to understand business needs; conduct workshops to identify high-value AI use cases and assess technical feasibility * Design, build, and deploy intelligent agents using Snowflake Cortex Agents, Cortex Analyst (incl. semantic views), and Cortex Search, alongside Agentic Process Automation patterns * Create architectural designs that integrate seamlessly with clients' existing infrastructure, ensuring scalability * Develop prototypes for proof-of-concept initiatives; lead and deliver pilot projects to demonstrate AI capabilities * Gather client feedback to refine usability and effectiveness * Provide technical leadership and mentorship to internal teams and clients * Manage project timelines, resources, and deliverables * Conduct rigorous testing/validation of AI solutions; monitor and optimize deployed systems for performance * Document architectural designs, project plans, and technical specifications; present to clients and stakeholders * Drive AI-driven digital transformation initiatives that deliver measurable client value ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Introduction to TXT](https://www.wearedevelopers.com/videos/30-introduction-to-txt) - [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) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) ## Related Articles - [Got AI ideas but no money? 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