[Remote] Senior AI Engineer, Agentforce Operations

Note: The job is a remote job and is open to candidates in USA. Salesforce is hiring a Senior AI Engineer to build AI products and platform capabilities for Agentforce Operations and its public-sector counterpart, Missionforce Operations. The role focuses on developing reliable, secure, and cost-effective AI systems for complex public-sector supply chain workflows, while guiding technical strategy and mentoring engineers.

Responsibilities

• 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
• 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

Skills

• B.S. in Computer Science or equivalent with coursework in Artificial Intelligence
• 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
• M.S. is a plus
• Experience building products for regulated industries, particularly the public sector or environments with strong security, compliance, and data-sovereignty requirements
• Familiarity with developing for classified or limited-connectivity environments, including Department of Defense Impact Levels such as IL6
• Experience with enterprise-grade observability platforms, such as infrastructure as code, and cloud-native deployment practices
• Experience with containerization and orchestration technologies, such as Docker and Kubernetes
• Experience building AI products for supply chain, logistics, manufacturing, or operational workflows
• Contributions to open-source software, patents, publications, or other notable technical work

Benefits

• Certain roles may be eligible for incentive compensation, equity, and benefits, as applicable.
• Time off programs
• Medical
• Dental
• Vision
• Mental health support
• Paid parental leave
• Life and disability insurance
• 401(k)
• An employee stock purchasing program

Company Overview

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