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Datavant logo
Datavant

Datavant is a software development company working to eliminate the silos of healthcare information that hold back improved patient care and innovative medical research. Employing

Unified Communication – AI Automation / Integration Engineer

Location

United States

Posted

115 days ago

Salary

$110.5K - $130K / year

Seniority

Lead

Bachelor Degree8 yrs expEnglishDistributed SystemsJavaJavaScriptNode.jsPython

Job Description

Unified Communication – AI Automation / Integration Engineer

Datavant

• 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.

Job 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.

Benefits

  • Health insurance
  • 401(k) matching
  • Remote work options
  • Paid time off
  • Professional development opportunities

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