VP, Implementation Engineer (Remote - EST Hours)

Key Responsibilities

• Translates AI strategy into scalable engineering execution—ensuring AI systems are safe, observable, cost-effective, compliant, and aligned with product and business outcomes.
• Architect and govern AI/ML system designs including multi-agent flows, complex orchestrations, RAG, classical ML services and hybrid architectures.
• Productionize AI/ML solutions into stable, low-latency, compliant, scalable applications.
• Build, lead, and develop a multi-team AI/ML engineering organization—including managers and senior engineers—setting technical standards and a culture of rigorous, maintainable delivery.
• Drive organization-wide alignment by influencing senior executives, peer engineering leaders, and product leaders; resolve prioritization conflicts and clarify accountability boundaries.
• AI/ML Lifecycle Ownership: Spearhead the AI/ML Software Development Life Cycle (SDLC) balancing rapid experimentation with scalable, production-grade engineering standards.
• Establish robust practices for versioning, deployment, CI/CD pipelines, logging, and automated rollback strategies.
• Build and operate observability, monitoring, and alerting systems to track model drift, latency, throughput, and cloud computing cost governance.

Required Skills / Experience

• 10+ years of software engineering and/or automation engineering experience.
• 8+ years of people leadership experience, including leading other managers and leaders.
• Demonstrated experience building production grade AI and/or ML systems.
• Resilient problem solving — comfortable with ambiguous problems.
• Exceptional communication and influence; able to operate across teams.