Senior AI Engineer, Agentforce Operations
$149k - $224k • Remote • California - San Francisco
Posted 22d ago
Job Location
California - San Francisco
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Agent Engineer
About the job
Salesforce is seeking a Senior AI Engineer to join the Agentforce Operations team, a high-velocity 'startup-within-Salesforce' focused on revolutionizing the public sector supply chain with an AI-powered platform. This role offers the unique opportunity to build a '0 to 1' product in a rapidly growing vertical, working alongside a founding team with deep startup roots but backed by the global scale of Salesforce. You will be instrumental in shaping both the product and the engineering team, partnering with product leaders and sector experts to deliver trusted AI systems for mission-critical public-sector workflows. The role involves building AI features tailored to public-sector customers, designing systems with security, compliance, reliability, and operational constraints at their core, and operating with wide autonomy to raise the bar for technical quality and mentorship.
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.
Requirements
- 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.
- Experience building products for regulated industries (preferred).