AI Forward Deployed Engineer Leader

Innovaccer is building a customer-embedded AI engineering organization focused on rapidly operationalizing AI inside healthcare customer environments. As an AI Forward Deployed Engineer Leader, you will build, lead, and scale a team of AI Forward Deployed Engineers to design, build, and deploy AI solutions on the Gravity platform, ensuring that AI capabilities deliver measurable clinical, operational, and financial outcomes.

Responsibilities:

• 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
• 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

Requirements:

• 12–18+ years of experience in software engineering, applied AI, customer engineering, or platform delivery
• Demonstrated healthcare experience working with: Health systems, payers, or life sciences organizations; Clinical, operational, or analytics workflows; Healthcare data platforms or health IT systems
• Proven experience building and leading customer-facing engineering teams
• Deep hands-on understanding of LLMs and agentic AI systems
• Strong familiarity with modern agentic and orchestration frameworks (LangGraph, AutoGen, CrewAI, n8n, Temporal, etc.)
• Strong software engineering fundamentals (APIs, distributed systems, cloud architectures)
• Experience deploying AI solutions in production, regulated healthcare environments
• Executive presence with ability to engage CIOs, CMIOs, CTOs, and healthcare executives
• Ability to balance speed of execution with healthcare-grade rigor and compliance
• Experience with healthcare data standards (HL7, FHIR, C-CDA, claims)
• Familiarity with HIPAA, data governance, and healthcare privacy/security requirements
• Experience scaling early AI solutions into repeatable healthcare platform capabilities
• Background in customer-embedded engineering, applied AI, or solutions architecture roles