Kaleris

Kaleris

VP, AI Execution

Remote USA · Vp

Sponsorship not specifiedDetected 5 days ago
Vector DatabasesAWSAzureCI/CDGraphQLRESTgRPCKafkaMachine LearningLLMsRAGMLOpsAI OrchestrationComplianceJiraSalesforceCRMERPHRISResearchLeadershipCommunicationNetSuite

About the role

  • Job Description: Position Overview The Sr.
  • Kaleris is an equal opportunity employer.
  • We celebrate diversity and are committed to creating an inclusive environment for all employees.

Responsibilities

  • Own the enterprise AI/ML technology roadmap across all business domains - ERP, CRM, HRIS, BI, PSA.
  • Build, hire, and scale the AI Platform organization, including the architecture function led by the AI Principal Solutions Architect, and applied AI talent.
  • Informs the build-vs-buy calls on AI/ML frameworks, LLM orchestration platforms, and cloud AI services, informed by architecture recommendations from Principal Architect(s).
  • Hold ultimate accountability for the AI platform architecture spanning Azure AI Studio, Azure OpenAI Service, Microsoft Fabric, and multi-agent orchestration layers - designed and maintained day-to-day by your Principal Solutions Architect and architecture team.
  • Sponsor and resource the shared services model (Auth/IAM, Event Bus, Notifications, Data Layer, Observability) that your architects design and enforce.
  • Own the path from research/prototype to production: ensure models and AI features move through a repeatable, scalable deployment pipeline rather than staying stuck in pilot mode.
  • Infrastructure Management: Build and maintain AI infrastructure, including cloud resources.
  • Cross-Functional Leadership: Bridge the gap between, software engineering, product managers, and business units to ensure AI adoption drives ROI.
  • Own the AI governance program for Kaleris, ensuring the internal AI framework (aligned to NIST AI RMF, EU AI Act, and Microsoft Responsible AI Standard) authored by your architecture team is enforced across the org.
  • Partner with the CISO, Legal, and Compliance to ensure AI deployments meet SOC 2, GDPR, and ISO 27001 requirements.

Requirements

  • 12+ years in enterprise software/IT, including 5+ years in senior engineering leadership with direct people-management responsibility for architects and engineers.
  • Demonstrated experience setting enterprise AI/ML architecture standards through a principal-level technical leader, or having held that kind of role yourself before moving into management.
  • Experience integrating AI into enterprise platforms such as Salesforce, NetSuite, Workday, and similar ERP/CRM/HRIS systems.
  • Experience operating in compliance-sensitive environments (SOC 2, GDPR, ISO 27001) with accountability for AI governance.
  • working knowledge of AWS (SageMaker, Bedrock) for multi-cloud, vendor-agnostic architecture decisions.

Nice to have

  • Experience with Salesforce Einstein/Agentforce or similar embedded enterprise AI.
  • Direct prior experience as a Principal/Staff/Distinguished architect before transitioning to management.
  • ROI modeling and TCO analysis for AI investments at $1M+ scale.
  • Relevant certifications a plus (Azure Solutions Architect Expert, TOGAF, etc.) but not required at this level.

Skills

  • Build and maintain AI infrastructure, including cloud resources.
  • Set SLAs and reliability standards for AI features running inside mission-critical, 24/7 terminal and yard operations.

Company info

  • Position Overview
  • Director of AI Execution owns Kaleris's enterprise AI strategy, architecture, and delivery organization end to end - turning AI from research and prototypes into production-grade systems that run the business.
  • This role sets the multi-year AI roadmap, builds and leads the engineering and architecture talent that executes it, and is directly accountable for the technical leaders who define how AI gets built across the company.
  • Operates at the intersection of architecture, engineering, product, and the
  • Hold the org accountable for model performance in production - monitoring accuracy, latency, and inference cost, and prioritizing optimization work where it impacts customers or unit economics.

Visa & Work Authorization

  • Sponsor and resource the shared services model (Auth/IAM, Event Bus, Notifications, Data Layer, Observability) that your architects design and enforce
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This listing is sourced directly from Kaleris's careers page and normalized into a canonical job model.