Senior AI Engineer, Agentforce Operations

As a Senior AI Engineer, Agentforce & Missionforce Operations, you will help shape both the product and the engineering team. You will partner closely with product leaders, sector experts, and platform and forward-deployed engineers to deliver trusted AI systems for mission-critical public-sector workflows.

Responsibilities

Day-to-Day & Project Execution

• 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.

Long-Term Goals & Strategic Impact

• 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.

Required Qualifications

• 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.