AI Engineer, Agent Systems at Salesforce

AI Engineer, Agent Systems

Company: Salesforce Job ID: JR329631

Salesforce seeks a Lead AI Engineer for their AI Research Incubation Team to design and build production-grade AI agent systems that transform research into scalable platform capabilities.

Key Responsibilities

Design AI agent systems including lifecycle management, orchestration, and execution control

Develop scalable pipelines for tool invocation, agent planning, memory, and state management

Collaborate with AI researchers to operationalize research outputs

Define best practices for agent reliability, safety, observability, and cost control

Lead API and service design for agent runtime and coordination

Drive architectural decisions for agent frameworks

Troubleshoot complex system-level issues

Mentor engineers and provide technical leadership

Required Qualifications

Bachelor's degree in Computer Science, Software Engineering, or related field

5+ years backend or distributed systems engineering experience

Strong Python proficiency

Production system experience with LLMs, AI services, or agent workflows

Deep understanding of RESTful APIs and service-oriented architectures

Cloud platform experience (AWS, GCP) and containerized environments (Docker, Kubernetes)

Strong debugging skills across distributed systems

Excellent cross-team collaboration abilities

Preferred Qualifications

AI agent frameworks and orchestration systems experience

RAG systems, vector databases, or memory architecture familiarity

Safety guardrails and AI observability implementation

Event-driven architecture and message queue exposure

Research-adjacent environment experience

Compensation

Standard: $172,500-$260,100

SF/NYC metro: $207,800-$285,800

Location: Telecommute / Palo Alto, California Employment Type: Full-time

Benefits: Medical, dental, vision, mental health support, paid parental leave, life/disability insurance, 401(k), employee stock purchase program, and time-off programs.