Lead Software Engineer, AI Workflow Generation (Agentforce Operations)

Salesforce•San Francisco, CA

About The Position

Salesforce is hiring a Lead Software Engineer for the Agentforce Operations Process Generation Team. The team builds agents that capture how customers run their businesses, propose improvements, and turn the resulting workflows into executable blueprints of agent and human tasks. These agents plan work in advance and execute it to deliver consistency, correctness, and automation at scale. Agentforce Operations is an AI-powered platform for designing, automating, and running end-to-end business processes, including collaboration through channels such as email. The role is part of a high-velocity team with startup roots, operating within Salesforce with access to its Data Cloud and security infrastructure. The position involves developing a 0-to-1 product for global-scale use.

Requirements

Bachelor of Science in Computer Science or equivalent, with coursework in Artificial Intelligence.
At least 5 years of industry experience in Software Engineering focused on AI/ML; the posting specifies 7–12 years for Lead roles.
Proficiency in multiple programming languages, such as Python, Go, Java, or C++.
Strong background in APIs, data modeling, and databases.
Ability to work independently and collaboratively in a dynamic environment.
Expertise in model evaluation, including designing custom benchmarks and automated testing suites for complex models, and integrating production telemetry to monitor live model performance and data drift.

Nice To Haves

Master’s degree preferred.
Understanding of current LLM orchestration frameworks and experience moving beyond them when necessary.
Passion for continuous learning and development in AI technologies, and enthusiasm for mentoring peers.
Ability to collaborate, manage stakeholders, and drive consensus across engineering and product teams.
Experience with enterprise-grade observability tools such as Splunk and cloud infrastructure such as AWS or GCP.

Responsibilities

Lead development of intelligent agents that complete complex supply chain tasks reliably and consistently.
Spearhead architectural decisions for distributed systems serving millions of users with 24/7 availability.
Design and implement planning systems that enable agents to autonomously execute multi-step workflows.
Partner with Product Management and Executive Leadership to translate business vision into multi-year technical roadmaps.
Guide technical decisions for AI model deployment, safety constraints, and reliability frameworks.
Drive adoption of enterprise-grade observability tools and cloud infrastructure best practices.
Mentor engineers in code quality, AI/ML practices, and system design.
Collaborate with Design, Product Management, and industry experts to build product features.
Engage directly with customers to gather insights and validate technical approaches.
Participate in hiring decisions and contribute to a culture of continuous learning.
Take on new challenges and responsibilities as needed and contribute as a team player in a dynamic environment.