Senior AI Engineer, Agentforce Operations

As a Senior AI Engineer for Agentforce Operations and Missionforce Operations, you will help build trusted, mission-critical AI agent and platform capabilities for public-sector workflows at Salesforce. The focus is dependable execution of complex, multi-step tasks, with security, compliance, reliability, and cost management integrated into the engineering approach.

What You’ll Do

• Collaborate with product and forward-deployed engineers to deliver reliable new features for the AI platform.
• Lead development of intelligent agents that complete complex supply chain tasks with consistent reliability.
• Design and implement planning, orchestration, and evaluation systems that allow agents to execute multi-step workflows autonomously.
• Drive architectural decisions for mission-critical, highly available systems operating across varied and constrained deployment environments.
• Define and refine 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.
• Set technical strategy for AI model deployment, safety constraints, reliability frameworks, and evaluation methodologies.
• Drive enterprise-grade observability, operational excellence, and cloud infrastructure practices.
• Identify and mitigate technical risks across security, compliance, scale, availability, and model behavior.
• Contribute to organizational impact by raising the engineering bar, supporting hiring, and promoting continuous learning and high ownership.

Required Qualifications

• 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 custom benchmarks, automated evaluation suites, and production telemetry to monitor model quality, drift, reliability, and safety.
• Experience building production systems using LLM orchestration frameworks, with the judgment to extend or move beyond frameworks when reliability needs require it.
• Proven ability to lead complex technical initiatives, make sound architectural decisions, and deliver through ambiguity.
• Demonstrated collaboration across engineering, product, customer-facing, and executive stakeholders to align and drive decisions.
• Experience mentoring engineers and improving technical execution across the team.
• Excellent written and verbal communication skills.
• Strong interest in learning and growing as a software engineer, and supporting peers in doing the same.

Preferred Qualifications

• Experience building products for regulated industries, especially 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, including 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.

Technologies

• Artificial Intelligence
• Python, Go, Java, C++
• LLM orchestration frameworks
• APIs, data models
• Containerization, Docker, Kubernetes

Location and Compensation

Location: San Francisco, CA (onsite)

Compensation: USD 148,500 - 223,900 per year

Accommodations

If you need a reasonable accommodation during the application or recruiting process, submit a request via the Accommodations Request Form.