Datavant · 6 hours ago
Unified Communication - AI Automation / Integration Engineer
Datavant is a data platform company and the world’s leader in health data exchange. They are seeking an AI Staff Engineer to lead the technical direction and architecture for their Voice AI and Agentic Agent platforms, focusing on building production-grade systems and ensuring compliance and reliability.
BiopharmaClinical TrialsData IntegrationHealth CareSoftware
Responsibilities
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
Qualification
Required
8+ years of experience in software engineering, with significant focus on AI, automation, or platform engineering
Deep hands-on experience with Voice AI systems, including: LLMs, NLMs, NLP/NLU
Speech-to-Text (STT) and Text-to-Speech (TTS)
Real-time conversational workflows
Strong experience designing agentic or autonomous AI systems
Proven expertise in API architecture, distributed systems, and integrations
Experience with CCaaS / Voice platforms (Five9, Genesys, NICE, or similar)
Strong proficiency in Python or another modern backend language (Node.js, Java, Go)
Demonstrated ability to lead technically without direct authority
Excellent communication and documentation skills
Preferred
Hands-on experience with AI orchestration frameworks (LangChain, LangGraph, AutoGen, CrewAI, or similar)
Experience deploying AI systems on AWS (certification a plus)
Familiarity with telecom, IVR, call routing, and speech pipelines
Experience with analytics, telemetry, and reporting platforms (e.g., Power BI, Fivetran, MuleSoft)
Prior experience operating AI systems in regulated environments
Company
Datavant
Datavant protects, connects, and delivers the world’s health data to power better decisions and advance human health.
Funding
Current Stage
Late StageTotal Funding
$80.5MKey Investors
Transformation Capital
2020-10-08Series B· $40M
2018-04-30Series Unknown· $40.5M
Recent News
2026-01-19
2025-12-31
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