AI Solutions Engineer (New York)

Key Responsibilities

• Engage with customers post-close to understand workflows, operational processes, and deployment requirements.
• Translate findings into clear implementation plans for AI-powered solutions.
• Partner with customers to assess data readiness and gather inputs for AI workflows.
• Configure and integrate AI components into tailored, AI-driven workflows.
• Collaborate with R&D to close data gaps and extend product capabilities when needed.
• Own end-to-end solution deployment and ensure models meet performance and business value expectations.
• Define success metrics and drive adoption post-launch.
• Lead integrations with enterprise systems (e.g., Finance, ERP, email platforms), ensuring scalability and security.
• Guide customers through security, compliance, and IT approval processes.
• Plan and execute rollout to drive smooth implementation and adoption.

Qualifications

• 7+ years of experience in Implementation Engineering, Solutions Engineering, Technical Consulting, Professional Services or a similar post-sale customer-facing role.
• Strong analytical skills with the ability to translate business needs into technical solutions.
• Strong understanding of AI concepts and their enterprise applications.
• High adoption of modern AI tools and workflows.
• Experience supporting deployments across cloud environments and enterprise system integrations.
• Excellent communication and stakeholder management skills.
• Demonstrated ability to manage solution delivery across the full post-sale customer lifecycle.

Nice to Have

• Experience with process mining, workflow mapping, or operational analytics.
• Familiarity with enterprise platforms.
• Financial services industry experience.