Senior AI Engineer, Agentforce Operations

What you'll do

• Develop intelligent agents that perform complex supply chain tasks with reliability and consistency.
• Design and implement planning, orchestration, and evaluation systems for autonomous multi-step workflows.
• Make architectural decisions for mission-critical, highly available systems in constrained deployment environments.
• Establish engineering practices for model evaluation, AI safety, observability, and cost management.
• Translate product vision into multi-year technical roadmaps in collaboration with leadership.
• Guide technical strategy for AI model deployment, safety constraints, and reliability frameworks.
• Identify and mitigate risks related to security, compliance, scale, and model behavior.
• Mentor engineers and contribute to hiring to raise the overall engineering bar of the team.

What we're looking for

• 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 on AI/ML.
• 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.
• Experience building production systems with LLM orchestration frameworks.
• Demonstrated ability to lead complex technical initiatives and make sound architectural decisions.
• Experience mentoring engineers and collaborating across engineering, product, and executive stakeholders.
• Experience building products for regulated industries or high-security environments (preferred).
• Familiarity with developing for classified or limited-connectivity environments like DoD IL6 (preferred).
• Experience with enterprise-grade observability, containerization, and cloud-native deployment practices (preferred).
• Experience building AI products for supply chain, logistics, manufacturing, or operational workflows (preferred).