Senior AI Engineer, Agentforce Operations

Salesforce is seeking a Senior AI Engineer to support Agentforce Operations and Missionforce Operations. In this onsite role in San Francisco, you will lead development of trusted, mission-critical AI agent and platform capabilities for public-sector workflows, emphasizing reliable execution of complex, multi-step tasks with security, compliance, reliability, and cost management built in.

Key Responsibilities

• Partner 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 consistency and 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.
• Establish engineering practices covering model evaluation, AI safety, observability, reliability, and cost management.
• Collaborate with Product Management and executive leadership to translate product direction into multi-year technical roadmaps.
• Set technical strategy for AI model deployment, safety constraints, reliability frameworks, and evaluation methodologies.
• Advance adoption of enterprise-grade observability, operational excellence, and cloud infrastructure practices.
• Identify and mitigate technical risks across security, compliance, scale, availability, and model behavior.
• Raise the engineering bar through hiring contributions, mentorship, and a culture of continuous learning and high ownership.

Required Qualifications

• B.S. in Computer Science or equivalent, including coursework in Artificial Intelligence (M.S. is a plus).
• 4+ years of industry experience in Software Engineering, with a focus on 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 for monitoring model quality, drift, reliability, and safety.
• Experience building production systems with LLM orchestration frameworks, plus judgment to extend or move beyond frameworks when reliability requirements require it.
• Ability to lead complex technical initiatives, make sound architectural decisions, and deliver through ambiguity.
• Proven collaboration across engineering, product, customer-facing teams, and executive stakeholders.
• Experience mentoring engineers and improving technical execution across a team.
• Excellent written and verbal communication skills.
• Interest in ongoing learning and in helping peers grow as software engineers.

Technologies

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

Preferred Qualifications

• Experience building products for regulated industries, particularly public sector use cases or environments with strong security, compliance, and data-sovereignty requirements.
• Familiarity with 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.

Accommodation

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

Role Details

• Location: San Francisco, CA (onsite)
• Compensation: USD 148,500 - 223,900 per year
• Minimum Experience: 4 years