• Develop and implement AI-powered solutions within our web application, ensuring seamless integration and high-quality performance. • Follow OWASP LLM Top 10 (2025) mitigations on every AI feature built • Run cost-per-request benchmarks before implementation and document model selection rationale • Collaborate with cross-functional teams to gather requirements and propose AI-based solutions that address business needs and drive innovation. • Design and develop custom APIs to facilitate data exchange and communication between AI components and existing systems. • Stay abreast of emerging AI technologies and industry trends to identify opportunities for enhancing the organization's AI capabilities. • Evaluate the effectiveness of AI solutions, continuously refining and optimizing them to ensure optimal performance. • Develop comprehensive documentation for AI solutions, including technical specifications for AI features, LLM APIs, ML Libraries, vector stores, etc. • Serve as an AI evangelist, promoting the understanding and adoption of AI technologies across the organization through presentations, workshops, and training sessions. • Provide technical support and troubleshooting for AI implementations, ensuring the prompt resolution of issues and minimal disruption to users.

• Lead AI Solutions pre-implementation review: model selection, cost benchmarking, hosting strategy, prototype trade-offs documented before any build begins • Architect and implement LLM pipelines: prompt engineering, RAG, structured output, tool use, multi-agent flows • Design and build REST APIs and data pipelines connecting AI components to Knit and client systems • Own repo-level AI configuration, shared prompt libraries, agent configs • Conduct code reviews with written feedback; mentor Junior developers; set and document best practices • Review SNS/SQS message contracts and integration impact before any cross-service AI merge • Lead OWASP LLM Top 10 (2025) red-team testing on every project before production release • Ensure STRIDE threat model is complete for every new AI system, covering data poisoning, prompt injection, model extraction, and excessive-agency risks • Collaborate with cross-functional teams to gather requirements and propose AI-based solutions that address business needs and drive innovation. • Stay abreast of emerging AI technologies and industry trends to identify opportunities for enhancing the organization's AI capabilities. • Evaluate the effectiveness of AI solutions, continuously refining and optimizing them to ensure optimal performance. • Develop comprehensive documentation for AI solutions, including technical specifications for AI features, LLM APIs, ML Libraries, vector stores, etc. • Serve as an AI evangelist, promoting the understanding and adoption of AI technologies across the organization through presentations, workshops, and training sessions. • Provide technical support and troubleshooting for AI implementations, ensuring the prompt resolution of issues and minimal disruption to users.

• Provide strategic and organizational direction for solutions being proposed during prospecting, contract negotiation, and delivery planning phases. • Oversee the solution planning process across multiple clients and various states of the contract phase. • Leverage insights and knowledge from sales, product, and implementation teams to define and improve effective solution planning. • Manage when demand dictates a team of one or more Solution Analysts. • Develop strong relationships with Sales, Sales Engineering, Delivery, and Product in order to proactively and in the spirit of collaboration develop solution proposals and procedures that increase the organization's ability to deliver grounded and standardized (where possible) solutions across a diverse client base. • Propose, modify, and create technical solutions and process improvements that drive dependable solution delivery and client satisfaction. • Meet with clients and prospects for requirements and solution clarifications and become an integral part of the estimation/RTM process. • Work closely with Professional Services AI Lab to drive AI initiatives and development

Role Description As a Sr Solutions Architect, you will play a pivotal role in enhancing quality, efficiency, and customer satisfaction. Your responsibilities will include: - Develop, build, test and deploy custom software solutions leveraging a wide array of Smartsheet product & third party APIs. - Lead technical consulting engagements that require custom software development by leading design sessions, defining technical requirements, and validating solution architecture against product best practices. - Design and document technical solutions aligned with client business objectives. - Review and validate solution designs produced by other Architect team members. - Provide quality oversight of engagements through formal peer to peer feedback, ongoing mentorship and coaching. - Serve as the Smartsheet subject matter expert (SME) on Smartsheet product capabilities and extensibility scenarios that leverage the Smartsheet APIs. - Determine solution feasibility and costing in support of our Sales team for new engagements. - Manage all aspects of technical projects, including, but not limited to, the schedule, deliverables, deadlines and client relationships. - Develop middleware applications to automate processes within Smartsheet products, integrate with 3rd party systems, and migrate data between 3rd party systems and Smartsheet products. Qualifications - Bachelor's Degree in Computer Science, Engineering, or related field. - 3+ years of customer facing experience. - Experience with C# is a must. - Fluency in advanced conversational English. - Experience working with SaaS/IPaaS applications in an enterprise environment. - Proven ability to drive projects from concept through completion with minimal guidance. - Understanding of systems architecture and ability to design scalable performance-driven solutions. - Understanding of key design patterns and large data volume best practices. Requirements - Bonus Skills: - Experience with Node, Python, or Java. - Knowledge of data integration and experience integrating SaaS applications with different business systems (ETL, CRM, business analytics, reporting, etc.). Benefits - Join us and be part of this journey towards greater opportunities and brighter futures.