Unified Communication – AI Automation / Integration Engineer
Job Description:
• 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
Apply Now
Apply Now
• 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
Apply Now
Apply Now