• Act as Staff-level technical owner for Voice AI and Agentic Agent architecture across Datavant. • Define reference architectures, best practices, and design patterns for Voice LLM workflows, orchestration, and integrations. • Lead technical decision-making for build vs. buy, platform selection, and long-term scalability. • Design and implement end-to-end Voice AI systems using LLMs, NLMs, NLP/NLU, STT, and TTS technologies. • Build agentic, multi-step conversational workflows capable of tool use, memory, escalation, and human handoff. • Optimize real-time and near-real-time Voice AI performance (latency, accuracy, reliability). • Architect and build API-first, event-driven systems integrating CCaaS platforms, data pipelines, and AI services. • Integrate with CCaaS and Voice platforms (e.g., Five9, Genesys, NICE, Cognigy, Kore.ai, PolyAI, or similar). • Ensure clean interfaces between AI agents, telecom infrastructure, and downstream systems. • Partner with Security and Legal to ensure HIPAA, HITECH, and privacy-by-design compliance across all Voice AI workflows. • Implement observability, auditing, and reporting for AI decisions, conversations, and outcomes. • Design systems that are fault-tolerant, testable, and production-ready. • Mentor senior and mid-level engineers in AI, Voice, and distributed systems design. • Influence roadmap and prioritization through strong technical partnership with Product and Leadership. • Raise the technical bar through reviews, documentation, and shared standards.