AI Engineer SMTS

Join to apply for the AI Engineer SMTS role at Salesforce 3 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Team Overview Join an agile team with deep startup roots. We operate as a high-velocity 'startup-within-Salesforce,' following our recent acquisition. You’ll be managed by the same founders and engineers who built the original company, offering the autonomy of a small team backed by the global scale and trust of Salesforce. You will have the unique opportunity to build a '0 to 1' product with the founding team, while leveraging Salesforce's world-class Data Cloud and security infrastructure to drive immediate global impact at scale. Product Overview Global supply chains still rely on slow, manual processes—email, spreadsheets, and fragmented data. The economy moves fast but supply chains don’t, creating an inefficiency that affects the $13T of goods shipped annually and is one of the largest untapped opportunities in modern enterprise. Agentforce for Supply Chain is reimagining the supply chain with an AI-powered platform for designing, automating, and running end-to-end business processes, with seamless collaboration through familiar channels like email. For Salesforce, this represents a massive growth opportunity in the back office, with innovations that flow into the front office. Customers are clamoring for more, rapidly expanding their use cases as we enter an exhilarating growth phase. What You’ll Do As a Senior AI Software Engineer for the Agentforce Supply Chain - AI Automation Team, you will drive the ongoing development of the systems that test our agents and our process orchestrator. These agents complete complex tasks requiring specific outputs reliably. They plan their work ahead of time and execute on that plan in order to drive consistency, correctness, and automation. Drive Agent Development & Architecture Lead development of intelligent agents that complete complex supply chain tasks with reliability and consistency Spearhead architectural decisions for distributed systems serving millions of users with 24/7 availability Design and implement planning systems that enable agents to execute multi-step workflows autonomously Lead Technical Strategy Partner with Product Management and Executive Leadership to translate business vision into multi-year technical roadmaps Guide technical decision-making for AI model deployment, safety constraints, and reliability frameworks Drive adoption of enterprise-grade observability tools and cloud infrastructure best practices Mentor & Collaborate Mentor engineers to improve code quality, AI/ML practices, and system design Collaborate with cross-functional teams including Design, Product Management, and industry experts to build high-quality product features Take on new challenges and responsibilities as needed, and be an enthusiastic team player in a dynamic environment Engage directly with customers to gather insights and validate technical approaches Participate in hiring decisions and contribute to our culture of continuous learning Requirements B.S. in Computer Science or equivalent with coursework in Artificial Intelligence (M.S. preferred) 4-8+ years of industry experience in Software Engineering, with a focus in AI/ML Proficiency in multiple programming languages such as Python, Go, Java, or C++ Strong background in APIs, data modeling, and databases Demonstrated ability to work both independently and collaboratively in a dynamic environment Expertise in model evaluation. You have a track record of designing custom benchmarks and automated testing suites for complex models, including the integration of production telemetry to monitor live model performance and data drift. You understand current LLM orchestration frameworks and have moved past them when necessary Passion for continuous learning and development in AI technologies, and enthusiasm for mentoring peers A proven collaborator who can manage stakeholders and drive consensus across diverse engineering and product teams. Experience with enterprise-grade observability tools (e.g., Splunk) and cloud infrastructure (AWS/GCP). Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. #J-18808-Ljbffr