Unified Communication – AI Automation / Integration Engineer
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Job Description
AI Staff Engineer for Datavant leading Voice AI and Agentic systems design. Collaborating with cross-functional teams to implement cutting-edge AI technology solutions.
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.
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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