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Principal AI Engineer leads the architecture and evolution of a company-wide AI assistant platform, owning full-stack technical decisions from models to governance for a scalable, multi-layer AI ecosystem.
Own delivery of complex AI customer deployments and internal programs that scale enterprise readiness, coordinating engineering, product, and GTM teams to ship high-quality implementations on time.
Build and own Natera’s Voice AI platform handling real-time patient calls, speech-to-text, and conversational AI for test results, billing, and agent routing.
Build and maintain a secure AI platform for law-enforcement investigations, integrating LLMs, RAG, and agentic workflows with backend services and frontend interfaces.
Build and scale distributed training infrastructure for large-scale AI avatar models, optimizing GPU clusters, parallelism, and multimodal data pipelines for real-time, full-duplex training.
Red-team conversational AI models to find jailbreaks, prompt injections, and bias risks, then document reproducible attack cases for customers.
Red-team conversational AI models by probing for jailbreaks, prompt injections, and bias to uncover vulnerabilities and systemic risks.
Lead a team deploying enterprise-scale GenAI solutions on ServiceNow for Fortune 500 clients, setting technical direction, removing blockers, and mentoring engineers while translating trade-offs for C-suite stakeholders.
Design and advise customers on generative AI and ML solutions using AWS services like Bedrock, SageMaker, and Nova, including RAG pipelines, agentic workflows, and model customization.
Design and evolve customer service and support tech ecosystems, integrating chatbots, AI, and cloud platforms like AWS and Genesys to improve CX and agent workflows.
Build and deploy scalable AI/LLM solutions for Johnson Controls, focusing on generative AI, retrieval-augmented generation, and cloud-based ML pipelines to drive digital transformation.
Designs enterprise AI solutions on Microsoft’s stack, setting standards and guiding teams to build secure, scalable GenAI apps using Azure AI, Copilot Studio, and modern frameworks.
Design, deploy, and maintain cloud-based AI systems for Vanguard’s India office, troubleshooting issues and ensuring stable production environments.
Demonstrate and sell Sestek’s AI-powered conversational automation suite (Speech Recognition, TTS, Voice Biometrics) to US enterprises, scoping POCs and translating customer needs into technical solutions.
Lead AI/LLM feature development for Adobe.com, defining roadmaps and shipping conversational AI, RAG, and agentic systems for both public users and internal teams.
Designs and builds enterprise-grade Agentic AI and automation solutions using LLMs, CrewAI, and UiPath to automate workflows across Pearson’s education products.
Designs conversational flows and AI-driven chat/voice experiences for JPMorgan’s Business Banking customers, iterating with cross-functional teams to improve clarity and task success.
Build and test AI-powered prototypes and integrations in Python/C# to enhance products and workflows, focusing on LLMs, RAG, and prompt engineering.
A Moving Experience. Cerence is seeking a Business Development Partner to drive revenue growth through direct customer engagement and channel partner relationships. This role will focus on identifying, developing, and…
Own the roadmap for B2B customer and partner portals on Salesforce Experience Cloud, driving self-service, automation, and AI-enabled service to reduce friction and improve transparency.
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