• Build AI-powered workflows using tools like Make, Zapier, OpenPipe, LangChain, GPT, and more • Automate recurring internal processes to improve speed, visibility, and accuracy • Develop external-facing automations to help our clients scale faster and serve better • Build internal dashboards or toolkits that give visibility into data, status, or success metrics • Rapidly prototype, test, and refine new ideas — and document what works • Stay ahead of what’s possible in AI tooling and bring those ideas to life inside our systems • Collaborate with our founder and operations team to turn insights into action — fast

• Perform complex delivery management on client engagements, defining project roadmaps, financials, and timelines for multiple workstreams. • Define and work within an agile project governance framework, facilitating backlog refinement, sprint planning, and Scrum ceremonies to drive team velocity. • Act as the "Navigator", guiding the roadmap and anticipating risks to ensure the solution moves smoothly from idea to prototype to production. • Serve as the "Translator", converting business goals into actionable technical requirements and explaining technical constraints back to stakeholders. • Operate as an "Air Traffic Controller", managing cross-team dependencies, prioritizing work, and keeping delivery moving safely without collision. • Act as a "Therapist" for the project, listening deeply to stakeholders to cut through noise and identify the true business need behind the request. • Serve as the functional authority for Data, Technology, & AI solutions, evaluating use case feasibility and mapping data lineage and schema needs. • Partner with Solution Architects and Engineers to align on technical strategy, understanding pipelines and models to validate the approach. • Manage quality assurance by defining success metrics, overseeing User Acceptance Testing (UAT), and manually validating data quality and model readiness

• Support and foster a quality-first, agile culture that is built on partnership, trust and sharing • Design, develop and maintain functionalities to create new solutions on the platform. • Learning and understanding all aspects of the framework and the project deliverables. • Be technically deep and provide input on architecture, design and code. • Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. • Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements. • Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. • Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing. • Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. • Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership. • Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills.

• Hire, develop, and lead a high-caliber team of AI Forward Deployed Engineers with healthcare domain depth. • Define the AI FDE operating model, engagement patterns, and delivery standards for healthcare customers. • Create a culture of speed, accountability, technical excellence, and patient-impact awareness. • Establish clear career paths, skill expectations, and performance metrics for FDEs. • Own end-to-end success of AI deployments at healthcare customers—from discovery to production. • Partner directly with CIOs, CMIOs, CTOs, clinical leaders, data leaders, and operations executives. • Act as the executive escalation point for complex AI delivery, data, and adoption challenges. • Ensure AI solutions are clinically safe, operationally usable, and embedded in real healthcare workflows. • Provide hands-on technical leadership across agentic AI architectures applied to healthcare use cases. • Drive adoption of modern frameworks and patterns, including: LangGraph, CrewAI, AutoGen, Semantic Kernel, LlamaIndex Agents, Haystack, Workflow orchestration platforms such as n8n, Temporal, Prefect, Dagster, MCP (Model Context Protocol), function calling, and tool-using agents. • Ensure AI agents are designed with strong guardrails and failure handling, human-in-the-loop workflows, explainability and auditability, healthcare-grade observability and logging. • Translate customer-specific healthcare AI solutions into reusable Gravity platform capabilities. • Influence the Gravity AI roadmap based on real-world healthcare deployments. • Partner with Product, Engineering, Security, Compliance, and Privacy teams to ensure HIPAA-aligned AI deployments. • Ensure learnings from healthcare deployments are captured and upstreamed. Outcomes, Adoption & Scale. • Own success metrics for AI FDE engagements, including: Time-to-value for healthcare customers, Adoption and usage by clinical and operational users, Stability, reliability, and data quality, Customer satisfaction (NPS/CSAT). • Drive repeatable AI deployment playbooks that scale across healthcare customers. • Ensure AI delivery compounds into long-term platform value, not one-off implementations.