Senior AI Engineer, Agentforce Operations
Salesforce2 days ago
Base Salary
$149k - $246k/yr
Responsibilities
- Partner with product and forward-deployed engineers to build reliable AI platform features.
- Lead development of intelligent agents that perform complex supply chain tasks.
- Design planning, orchestration, and evaluation systems for autonomous multi-step workflows.
- Make architectural decisions for highly available systems across varied and constrained deployment environments.
- Establish practices for model evaluation, AI safety, observability, reliability, and cost management.
- Translate product vision into multi-year technical roadmaps and guide AI deployment, safety, reliability, and evaluation strategy.
- Identify and mitigate risks involving security, compliance, scale, availability, and model behavior.
- Mentor engineers, contribute to hiring, and raise technical execution standards across the team.
Requirements
- Bachelor of Science in Computer Science or equivalent with coursework in Artificial Intelligence is required; a master’s degree is a plus.
- At least 4 years of industry software engineering experience focused on AI/ML is required.
- Strong proficiency in multiple 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 model quality, drift, reliability, and safety.
- Experience building production systems with LLM orchestration frameworks and extending or replacing them when reliability requirements demand it.
- Ability to lead complex technical initiatives, make architectural decisions, and deliver through ambiguity.
- Experience collaborating across engineering, product, customer-facing, and executive stakeholders.
- Experience mentoring engineers and improving technical execution across a team.
- Preferred qualifications include experience in regulated or public-sector industries, classified or limited-connectivity environments such as DoD IL6, enterprise observability, infrastructure as code, cloud-native deployment, Docker, Kubernetes, and AI products for supply chain, logistics, manufacturing, or operational workflows.
- Open-source contributions, patents, publications, or other notable technical work are preferred.
Benefits
- Benefits include time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
- Certain roles may be eligible for incentive compensation, equity, and benefits.
Categories
About Salesforce
Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.