Smartsheet

Senior Software Engineer II role focused on building and scaling the AI Platform foundation, standardizing AI development paths, and engineering AI trust and safety systems for an enterprise AI product. The role involves designing core infrastructure, creating high-level APIs, establishing monitoring and evaluation pipelines, and driving technical strategy for AI at Smartsheet.

Senior AI Engineer focused on deploying complex, multi-system AI solutions end-to-end for enterprise clients. This role involves architecting multi-agent systems, designing personalized AI resources, and creating deployment kits. The engineer will also mentor junior team members, contribute to AI strategy, and drive improvements to the AI platform.

Senior AI Engineer focused on leading complex, end-to-end AI deployments for enterprise clients, architecting multi-agent solutions, and enabling partners. The role involves customer engagement, building reusable assets, and mentoring junior engineers, with a strong emphasis on production LLM experience and system architecture.

Senior Manager, Engineering - AI & Automation at Smartsheet. Leads a team building AI-powered capabilities, agents, and automation solutions for internal employees using LLMs (Claude, AWS Bedrock). Focuses on shipping features rapidly, improving employee efficiency, and developing internal AI infrastructure like RAG and enterprise search, while also owning AI governance.

Senior AI Engineer responsible for leading complex, multi-system AI deployments end-to-end, architecting multi-agent solutions, designing personalized intelligence packs, and owning Deployment Kit quality. The role involves mentoring junior engineers, driving the intelligence loop, and enabling solutions consultants and partners.

Senior Product Manager for Applied AI at Smartsheet, focusing on specialized AI agents and evaluation infrastructure. The role involves owning the roadmap, shipping agent capabilities end-to-end, defining development standards, and collaborating with engineering, design, and data science. Requires significant product management experience with technically complex platforms and fluency in AI/ML concepts like model evaluation, agent architectures, RAG, and prompt engineering.

Senior Software Engineer II focused on Applied AI and Evaluations for Smartsheet's AI-powered work management platform (SmartAssist). The role involves owning agent quality end-to-end, including diagnosis, improvement, and validation across orchestrators and subagents. Responsibilities include identifying failure modes, driving quality improvements through prompt/context engineering and RAG tuning, and extending the evaluation framework. This is a deeply technical role at the intersection of LLM evaluation, prompt engineering, and RAG, not a traditional QA role.

Manager AI/ML Ops Engineering to lead and mentor a team, define and govern AI/ML operations solutions for scalability, cost-efficiency, and reliability, and develop standardized AI/MLOps workflows including CI/CD/CT pipelines. The role requires experience in enterprise SaaS, building and maintaining AI/ML Ops platform systems, and knowledge of AI/ML frameworks and cloud platforms.

Senior AI/ML Ops Engineer responsible for designing, developing, and overseeing scalable and reliable AI/ML Ops platforms and pipelines. This includes model deployment, CI/CD pipeline development, infrastructure management for training and serving, monitoring, automation of retraining, deployment of foundation models and RAG stacks, resource optimization, and collaboration with data science and engineering teams. The role requires experience with enterprise SaaS, large-scale data, AI/MLOps workflows on platforms like Databricks and MLFlow, cloud platforms, and modern software engineering practices.

Senior AI/ML Ops Engineer responsible for designing, developing, and overseeing scalable and reliable AI/ML Ops platforms and pipelines. This includes model deployment, CI/CD automation, infrastructure management for training and serving, monitoring, resource optimization, and managing foundation models, fine-tuning, and RAG stacks. The role requires close collaboration with data scientists and engineers, and experience with MLOps workflows on Databricks, MLflow, and AI/ML frameworks like LangChain.

This role focuses on engineering and automating the machine learning production lifecycle, including model deployment, retraining, inference, and monitoring. It involves managing cloud infrastructure and ensuring the scalability, reliability, and cost-effectiveness of AI products, acting as a bridge between data scientists and software engineers.

Principal Data Engineer/Architect at Smartsheet focusing on building and optimizing data platforms, pipelines, and infrastructure for AI/ML use cases. The role involves designing scalable data architectures, managing large datasets (Petabytes), and implementing AI/MLOps workflows using tools like Databricks, MLFlow, and LangChain. Emphasis on enterprise SaaS, cloud platforms, and modern software engineering practices.