Senior AI Engineer, Salesforce

• B.S. in Computer Science or equivalent with coursework in Artificial Intelligence (M.S. is a plus)
• 4+ years of industry experience in Software Engineering, with a focus in AI/ML
• Strong proficiency in multiple programming languages, such as Python, Go, Java, or C++
• Experience designing and operating production-grade distributed systems, APIs and data models
• Deep expertise in model evaluation, including designing custom benchmarks, automated evaluation suites, and production telemetry for monitoring model quality, drift, reliability, and safety
• Experience building production systems with LLM orchestration frameworks, along with the judgment to extend or move beyond those frameworks when reliability requirements demand it
• Demonstrated ability to lead complex technical initiatives, make sound architectural decisions, and deliver through ambiguity
• Proven ability to collaborate across engineering, product, customer-facing, and executive stakeholders to build alignment and drive decisions
• Experience mentoring engineers and raising the quality of technical execution across a team
• Excellent written and verbal communication skills
• Enthusiasm for learning and growing as a software engineer, and for helping your peers do the same

Desirable

• Join an agile team with deep startup roots
• We operate as a high-velocity 'startup-within-Salesforce,' following our recent acquisition
• You’ll be working alongside the founding team and engineers in an organization 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 in one of the fastest growing verticals within Salesforce
• Global supply chains still rely on slow, manual processes—email, spreadsheets, and fragmented data
• Nowhere does modernizing them matter more than in the public sector, where the scale and stakes are highest
• Missionforce Operations is reimagining the public sector 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 into public sector back office processes, 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.”
• As a Senior AI Angineer Agentforce & Missionforce Operations, you will help shape both the product and the engineering team
• You will partner closely with product leaders, sector experts, and platform and forward-deployed engineers to deliver trusted AI systems for mission-critical public-sector workflows
• Missionforce Operations is Agentforce Operations’ public-sector counterpart: rebuilt from the ground up to bring core capabilities to some of the world's most sensitive operating environments
• In this role, you will lead the development of AI products and platform capabilities that perform complex tasks reliably, securely, and cost-effectively in environments where trust is mission-critical and data classification requirements are uncompromising
• You will tackle a broad range of challenges, from building AI features tailored to public-sector customers, to designing systems with security, compliance, reliability, and operational constraints at their core
• You will operate with wide autonomy, build alignment across engineering and product stakeholders, and raise the bar for technical quality, execution, and mentorship across the team
• Day-to-Day & Project Execution
• Partner with product and forward-deployed engineers to build reliable new features for our AI platform
• Lead development of intelligent agents that complete complex supply chain tasks with reliability and consistency
• Design and implement planning, orchestration, and evaluation systems that enable agents to execute multi-step workflows autonomously
• Make and drive architectural decisions for mission-critical, highly available systems that operate across varied and constrained deployment environments
• Establish engineering practices for model evaluation, AI safety, observability, reliability, and cost management
• Long-Term Goals & Strategic Impact
• Partner with Product Management and executive leadership to translate product vision into multi-year technical roadmaps
• Guide technical strategy for AI model deployment, safety constraints, reliability frameworks, and evaluation methodologies
• Drive the adoption of enterprise-grade observability, operational excellence, and cloud infrastructure practices
• Identify and mitigate technical risks related to security, compliance, scale, availability, and model behavior
• Help shape the organization by raising the engineering bar, contributing to hiring, and fostering a culture of continuous learning and high ownership