Work Flexibility: Hybrid or Onsite# **Vocera, now part of Stryker**Vocera, now part of Stryker, is seeking a highly experienced and visionary **Principal Engineer – AI/ML** to lead the architecture, strategy, and technical direction of our AI-powered speech and voice intelligence platforms.This role serves as the **AI/ML Architect** for real-time speech, conversational AI, and GenAI-driven clinical communication systems. You will define long-term technical vision, establish scalable AI architecture patterns, and guide engineering teams in delivering reliable, secure, and high-performance AI systems deployed at enterprise scale on Microsoft Azure.This is a hands-on architectural leadership role requiring deep expertise in speech technologies, modern ML/LLM systems, distributed architecture, and cloud-native AI platforms.## **What You Will Do**### **AI/ML Architecture & Technical Strategy*** Define and own the end-to-end AI/ML architecture for speech, voice intelligence, and GenAI platforms.* Establish scalable patterns for real-time speech processing (low-latency ASR, TTS, streaming pipelines).* Architect RAG-based systems, LLM orchestration layers, semantic search, and conversational AI frameworks.* Drive design decisions across model hosting, inference optimization, observability, reliability, and cost efficiency.* Define evaluation frameworks for model quality, accuracy, bias, hallucination control, and safety.### **Platform & System Design*** Design enterprise-grade, cloud-native AI systems on Microsoft Azure.* Lead architectural decisions for: + Model lifecycle management + Multi-model orchestration + Feature stores and vector databases + High-throughput inference pipelines + Secure data handling in healthcare environments* Ensure systems meet performance SLAs (latency, throughput, error rates) and compliance requirements.* Drive multi-region scalability and disaster recovery strategy for AI workloads.### **Speech & Voice Intelligence Leadership*** Architect solutions for: + Real-time speech-to-text and text-to-speech + Domain-adapted ASR models + Intent recognition and entity extraction + Conversational AI assistants + Summarization and contextual intelligence* Define strategies for handling accents, noisy environments, and healthcare-specific terminology.* Guide model fine-tuning and adaptation for clinical communication use cases.### **GenAI & LLM Systems*** Lead adoption of LLM-based architectures including: + RAG pipelines + Prompt orchestration frameworks + Guardrails and safety layers + Evaluation and monitoring systems* Define best practices for prompt engineering, model benchmarking, and production hardening.* Drive responsible AI practices including governance, auditability, and compliance.### **Engineering Leadership & Influence*** Provide architectural guidance across multiple pods and teams.* Review and approve technical designs impacting AI systems.* Mentor senior engineers and elevate AI engineering maturity across the organization.* Partner with Product, UX, Security, DevOps, and Platform teams to align AI capabilities with business strategy.* Participate in customer and executive discussions to translate technical vision into business value.* Drive innovation initiatives, patents, and strategic technical investments.## **Required Qualifications*** Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field.* 12+ years of experience in software engineering with substantial experience in AI/ML systems.* 6+ years of experience designing and deploying production-grade AI/ML architectures.* Deep expertise in speech technologies (ASR/TTS), NLP, and modern LLM systems.* Strong proficiency in Python and AI frameworks (PyTorch, TensorFlow, etc.).* Proven experience architecting AI workloads on Microsoft Azure.* Strong background in distributed systems, backend architecture, APIs, and data pipelines.* Demonstrated experience leading architecture decisions across multiple teams.## **Preferred / Strongly Desired Qualifications**### **AI / ML & GenAI*** Hands-on experience with Azure OpenAI, Azure ML, and enterprise LLM deployments.* Experience designing RAG architectures with vector databases and semantic search.* Expertise in model evaluation frameworks, ML observability, and performance tuning.* Experience adapting or fine-tuning speech models for domain-specific use cases.* Familiarity with LangChain, MLflow, prompt evaluation tooling, and model governance frameworks.### **Cloud & Platform*** Deep experience with: + Azure OpenAI + Azure ML + Azure AI Search + Azure Functions / Container Apps + Kubernetes-based model serving* Experience with CI/CD for ML systems (MLOps best practices).* Exposure to AWS or GCP AI services is a plus.### **Healthcare / Enterprise Systems*** Experience building secure, compliant systems in regulated environments.* Understanding of PHI handling, data privacy, and enterprise-grade security controls.Travel Percentage: 10%
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