Unified Communication - AI Automation / Integration Engineer

Datavant•Dallas, TX

21h

About The Position

Datavant is a data platform company and the world’s leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world’s leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you’re stepping onto a high-performing, values-driven team. Together, we’re rising to the challenge of tackling some of healthcare’s most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. About Datavant Datavant is a technology-first company on a mission to transform the future of data-driven healthcare. As we transition toward an Agentic Agent–focused organization, we are redefining how automation, AI, and modern cloud technologies come together to create seamless and intelligent experiences. Role Overview We are seeking an AI Staff Engineer – Voice AI & Agentic Systems to serve as a technical leader and architect for Datavant’s next-generation Voice AI and Agentic Agent platforms. This role goes beyond implementation: you will set technical direction, define architecture standards, and mentor engineers while building production-grade Voice AI systems operating at enterprise scale. You will own the design and evolution of LLM-driven, voice-first workflows across CCaaS, IVA, and internal automation platforms—ensuring they are secure, observable, compliant, and resilient. This role partners closely with Product, Security, Telecom/UCC, and Data teams to turn strategy into working systems.

Requirements

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

Nice To Haves

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

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.