AI Engineer SMTS

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. 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. As one user put it: "I’ve been waiting for this for 20 years." Responsibilities 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. Required Qualifications 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). Experience will be evaluated based on alignment to the core proficiencies for the role (e.g. extracurricular leadership roles, volunteer work, etc.). NOTE: By applying to the Senior AI Software Engineer posting recruiters and hiring managers across the organization hiring these roles will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams. Benefits & Perks Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more World-class enablement and on-demand training with Trailhead.com Exposure to executive 1:1 coaching with leadership Volunteer opportunities and participation in our 1:1:1 model for giving back to the community For more details, visit https://www.salesforcebenefits.com/ In, or graduated within the past 12 months? Please visit FutureForce for opportunities. #J-18808-Ljbffr