Principal Software Engineer

Join the Agentforce team in AI Cloud at Salesforce and make a real impact with your software designs and code! This position requires technical skills, outstanding analytical and influencing skills, and extraordinary business insight. It is a multi-functional role that requires building alignment and communication with several engineering organizations. We work in a highly collaborative environment, and you will partner with a highly cross-functional team comprised of Data Scientists, Software Engineers, Machine learning engineers, UX experts, and product managers to build upon Agentforce, our cutting-edge new AI framework. We value execution, clear communication, feedback, and making learning fun. Your impact - You will: Architect, design, implement, test, and deliver highly scalable AI solutions: Agents, AI Copilots/assistants, Chatbots, AI Planners, RAG solutions. Be accountable for defining and driving software architecture and enterprise capabilities (scalability, fault tolerance, extensibility, maintainability, etc.) Independently design sophisticated software systems for high-end solutions, while working in a consultative fashion with other senior engineers and architects in AI Cloud and across the company. Determine overall architectural principles, frameworks, and standards to craft vision and roadmaps. Analyze and provide feedback on product strategy and technical feasibility. Drive long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events. Actively communicate with, encourage, and motivate all levels of staff. Be a subject matter expert for multiple products, while writing code and working closely with other developers, PM, and UX to ensure features are delivered to meet business and quality requirements. Troubleshoot complex production issues and interface with support and customers as needed. Drive long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events. Required Skills: 12+ years of experience in building highly scalable Software-as-a-Service applications/platform. Experience building technical architectures that address complex performance issues. Thrive in dynamic environments, working on cutting-edge projects that often come with ambiguity. Innovation/startup mindset to be able to adapt. Deep knowledge of object-oriented programming and experience with at least one object-oriented programming language, preferably Java. Proven ability to mentor team members to support their understanding and growth of software engineering architecture concepts and aid in their technical development. High proficiency in at least one high-level programming language and web framework (NodeJS, Express, Hapi, etc.). Proven understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JavaScript, JSON, and/or Ajax. Data model design, database technologies (RDBMS & NoSQL), and languages such as SQL and PL/SQL. Experience delivering or partnering with teams that ship AI products at high scale. Experience in automated testing, including unit and functional testing using Java, JUnit, JSUnit, Selenium. Demonstrated ability to drive long-term design strategies that span multiple complex projects. Experience delivering technical reports and presentations to customers and at industry events. Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams to resolve critical issues. Experience with the full software lifecycle in highly agile and ambiguous environments. Excellent interpersonal and communication skills. Preferred Skills: Solid experience in API development, API lifecycle management, and/or client SDKs development. Experience with machine learning or cloud technology platforms like AWS sagemaker, terraform, spinnaker, EKS, GKE. Experience with AI/ML and Data science, including Predictive and Generative AI. Experience with data engineering, data pipelines, or distributed systems. Experience with continuous integration (CI) and continuous deployment (CD), and service ownership. Familiarity with Salesforce APIs and technologies. Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills.,