Senior AI Engineer, Agentforce Operations

Salesforce

. Partner with product and forward-deployed engineers to build reliable new features for the AI platform .

Posted 9/29/2026full-timeUnited StatesSenior💰 $148,500 - $246,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML software engineering, focusing on building reliable AI systems and production-grade distributed systems. Proficient in model evaluation, architectural decision-making, and fostering collaboration across technical teams and stakeholders.

Highest-signal resume keywords

AI/ML Software EngineeringModel Evaluation ExpertiseProduction-Grade Distributed SystemsCloud Infrastructure PracticesLeadership in Technical Initiatives

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonGoJavaC++Model EvaluationLLM Orchestration FrameworksAPIsData ModelsDockerKubernetes

Soft Skills

Excellent Communication SkillsMentoringCollaborationContinuous LearningProblem-Solving

Tools & Technologies

Enterprise-Grade Observability PlatformsInfrastructure as CodeCloud-Native Deployment Practices

Industry Keywords

Public SectorSecurity ComplianceData SovereigntySupply ChainLogisticsManufacturingOperational WorkflowsDepartment of Defense Impact Levels

Tech Stack

Tools & technologies

CloudDistributed SystemsDockerJavaKubernetesPythonC++Go

About the role

Key responsibilities & impact

Partner with product and forward-deployed engineers to build reliable new features for the AI platform
Lead development of intelligent agents that complete complex supply chain tasks reliably and consistently
Design and implement planning, orchestration, and evaluation systems for autonomous multi-step workflows
Make architectural decisions for mission-critical, highly available systems across varied and constrained deployment environments
Establish engineering practices for model evaluation, AI safety, observability, reliability, and cost management
Translate product vision into multi-year technical roadmaps with Product Management and executive leadership
Guide technical strategy for AI model deployment, safety constraints, reliability frameworks, and evaluation methodologies
Drive enterprise-grade observability, operational excellence, and cloud infrastructure practices
Identify and mitigate risks related to security, compliance, scale, availability, and model behavior
Raise the engineering bar, contribute to hiring, and foster continuous learning and high ownership
Build trusted AI systems for mission-critical public-sector workflows and help shape the product and engineering team

Requirements

What you’ll need

B.S. in Computer Science or equivalent with coursework in Artificial Intelligence
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 custom benchmarks, automated evaluation suites, and production telemetry for monitoring model quality, drift, reliability, and safety
Experience building production systems with LLM orchestration frameworks
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
Experience mentoring engineers and raising technical execution quality across a team
Excellent written and verbal communication skills
Enthusiasm for learning and helping peers grow
Experience with regulated industries, particularly public sector or environments with strong security, compliance, and data-sovereignty requirements
Familiarity with classified or limited-connectivity environments, including Department of Defense Impact Levels such as IL6
Experience with enterprise-grade observability platforms, infrastructure as code, and cloud-native deployment practices
Experience with Docker and Kubernetes
Experience building AI products for supply chain, logistics, manufacturing, or operational workflows
Contributions to open-source software, patents, publications, or other notable technical work

Benefits

Comp & perks

Time off programs
Medical insurance
Dental insurance
Vision insurance
Mental health support
Paid parental leave
Life insurance
Disability insurance
401(k)
Employee stock purchasing program
Incentive compensation may be available for certain roles
Equity may be available for certain roles
Reasonable accommodation during the application or recruiting process