We’re looking for a senior engineer who can take Vi’s AI agent capabilities and make them work in production environments. You’ll build and ship AI systems and predictive models for healthcare and life sciences clients — owning everything from data ingestion and CRM integration to real-time agent infrastructure and HIPAA-compliant delivery. This is a client-facing role: you work closely with enterprise customers to understand their workflows, then you build AI orchestrated workflows that automate them.
Key Responsibilities:
Customer-Embedded Deployments
- Serve as the primary technical partner to 2–5 strategic enterprise customers, translating business objectives into operational AI use cases
- Lead deployment of Vi’s intelligent agent platform across initial customer workflows (e.g., patient communications, market research, clinical operations)
- Integrate Vi’s AI systems with customer data and tech environments; collaborate with internal product and engineering teams to tailor solutions
Technical Execution & System Integration
- Understand and lightly contribute to code where needed (Javascript, Python, APIs, data integration pipelines)
- Ensure technical feasibility, scalability, and security of deployments in healthcare environments
- Partner with the Operate and Product teams to evolve the shared agentic capabilities of Vi’s platform
Commercial Expansion
- Identify additional high-ROI opportunities post-deployment, leading expansion and upsell efforts in collaboration with Account Management and Growth teams
- Quantify business impact and create case studies to demonstrate measurable value and drive renewals and expansion
- Act as a trusted advisor to customer technical and business leaders
Leadership & Scale
- Define the AI Deployment function’s charter, metrics, and best practices
- Hire and mentor a small, high-impact team of AI Deployment Engineers as the model scales
- Partner cross-functionally with Sales, Product, Engineering, and Customer Operations to ensure frictionless delivery and rapid iterations
Must-Have Experience/Traits:
- 7+ years of experience in a technical, customer-facing role (e.g., solutions engineering, AI/ML deployment, data platform integration, or forward-deployed engineering)
- Strong understanding of AI/ML systems, APIs, data architecture, and healthcare enterprise environments
- Hands-on familiarity with coding or scripting (Javascript, Python, SQL, or similar) and modern cloud/data stack integrations.
- Familiarity with the top three cloud providers (AWS, GCP, Azure)
- Exceptional ability to translate technical concepts into business outcomes — both in customer conversations and in executive settings
- Experience identifying and driving commercial growth within existing accounts
- Comfort operating in ambiguous, high-growth startup environments and building 0→1 functions