Principal Engineer – AI ML (Speech, Voice & GenAI Architecture)
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Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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
Bachelors or Masters 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.
Required Experience:
Staff IC
Key Skills
- EIGRP
- VOIP
- VMware
- Avaya
- BGP
- LAN
- OSPF
- QoS
- Project Planning
- Scripting
- Unity
- Troubleshooting
About Company
Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongsid ... View more
