PS - Principal Architect Job Description People at Vectara are passionate about helping users take advantage of breakthroughs in applied AI to discover and learn more about their business and the world around them. Our team is a group of unquestionable all-stars in their respective fields of computer science and business. We are looking for a Principal Architect to join our Professional Services organization and serve as the technical lead for our most strategic customer engagements. In this role, you will be the Project Lead, owning the technical success of high-impact implementations. You will also be the Lead Architect, setting technical direction for complex, novel architectures as we push the boundaries of what AI can deliver for the enterprise. Finally, you will provide technical contributions, ranging from application development to evaluation and tuning, to documentation. Job Responsibilities As a Principal Architect, your work spans the entire post-sales lifecycle, focusing on high-level design, development, and optimization: - Lead Architect & Design: Act as the primary architect for client solutions, assisting customers with complex architecture and design decisions for both cloud-based (SaaS, VPC) and on-premises AI systems. - AI Application Development: Lead the hands-on design and development of AI solutions, including RAG pipelines, agentic workflows, and LLM-powered applications You will build production-grade systems that help our customers realize the business benefits of AI. - Project Leadership: Serve as the technical lead for Professional Services engagements, coordinating between the customer’s technical staff and Vectara’s internal Product and Engineering teams to ensure delivery excellence. - Evaluations & Tuning: Conduct deep evaluations and performance tuning of retrieval and agentic pipelines to ensure applications meet rigorous enterprise requirements. Strategic Advisory: Present sophisticated technical strategies to customer leadership, translating complex AI concepts into clear, impactful business value. Qualifications We are seeking a technical visionary who is "smart, humble, hardworking, and, above all, curious" - Experience: 10+ years of total experience, including 5+ years in software development and 5+ years in a senior technical-client-facing role within a Professional Services organization. - Domain Expertise: Deep knowledge in AI, ML, search, RAG, LLMs, agentic AI, and/or data engineering. - Development Proficiency: Expert-level proficiency with REST services and at least one major language: Python, JavaScript, or Java. - DevOps Experience: Ability to work effectively within a modern CI/CD and DevOps environment. - Infrastructure: Comprehensive understanding of cloud-based platforms (multi-tenancy, automation, fault tolerance) and on-premises infrastructure (GPUs, virtualization/k8s). - Communication: Ability to communicate technical concepts and implementation approaches with clarity, purpose, empathy, and influence. - Education: Bachelor’s degree in Computer Science or Computer Engineering; a Master’s degree (MS) is highly preferred. - Travel: Ability to travel up to 25% of the time for onsite work Location requirements: We support remote applicants from all over the US but candidates based in the Bay Area are preferred. Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives. We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture—we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning. Perks and Benefits: 100% paid Medical, Dental, Vision for employees. Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off (PTO) plus paid sick time and holidays. Professional development and training opportunities. Company virtual happy hours and fun team building activities and more. Salary is just one component of Vectara’s employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn’t highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business. Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives. We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture—we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning.

FEQ227R17 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered in the EST time zone. Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. The impact you will have: - Partner with the sales team to help customers understand how Databricks can help solve their business problems - Provide technical leadership for customers to evaluate and adopt Databricks - Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications - Build and present references architectures, how-tos, and demo applications for customers - Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars - Travel to customers in your region What we look for: - 4+ years in a customer-facing pre-sales, technical architecture, or consulting role - Experience designing and architecting distributed data systems - Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R - Experience supporting Public Sector clients - Have built solutions with public cloud providers such as AWS, Azure, or GCP - Expertise in at least one of the following: - Data Engineering technologies (Ex: Spark, Hadoop, Kafka) - Data Warehousing (Ex: SQL, OLTP/OLAP/DSS) - Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO) - [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $152,300—$209,450 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

• Partner with Account Executives throughout the sales cycle to support new and existing business. • Lead technical discovery to understand customer requirements, workflows, and operational challenges. • Translate customer needs into clear, solution-oriented recommendations. • Design and present tailored IoT, telematics, and AI-enabled solutions aligned to customer goals. • Deliver product demonstrations, proofs of concept, and value-based presentations. • Clearly articulate technical capabilities in a business-relevant and customer-friendly way. • Develop and support lightweight API integrations, workflows, or configurations as needed. • Provide technical guidance and best practices to support successful customer deployments. • Troubleshoot and address technical questions during the sales process. • Act as a liaison between Sales, Product, and Customer Success teams.

• Design, build, and maintain Azure Data Factory (ADF) pipelines. • Develop end-to-end data integration solutions (SaaS platforms, databases, REST APIs). • Implement Azure Functions to extend pipelines with custom logic and automation. • Ensure performance, monitoring, and reliability of data workflows. • Collaborate daily with an international team on modern, AI-enabled solutions.