Artificial Intelligence Jobs in Irvine, CA

Lead IT-side program management for an Oracle ERP transformation: own integrated plans, governance, RAID/dependency management, readiness reviews, and vendor coordination. Use AI tools to synthesize status, detect risks/dependencies, automate PMO workflows, and enable responsible AI adoption across delivery.

Lead GenAI strategy and research to develop scalable LLM and agentic AI applications (e.g., conversational assistants). Analyze data to personalize investment outcomes, collaborate with engineers, productionize models, ensure best practices in data management and evaluation, publish research, and mentor applied scientists.

Lead design and delivery of enterprise-scale AI/GenAI platforms and Databricks architectures across major cloud providers. Drive technical strategy, client discovery, reference architectures (data pipelines, feature stores, model training, vector DBs, real-time inference), mentor teams, define responsible-AI and security best practices, and represent the firm externally.

Develop, validate, and improve machine learning models (regression, classification, forecasting, optimization). Prepare data, perform feature engineering, train and evaluate models, and support deployment with Data/ML Engineering. Communicate results, document methods, and collaborate on experiments and cross-functional initiatives.

Own product marketing strategy and execution for AI laptops/desktops/workstations. Develop positioning, messaging, launch and go-to-market plans; translate technical AI/NPU capabilities into customer value; create sales and communications assets; coordinate regional localization; track product performance; support PR, events, and cross-functional stakeholders throughout the product lifecycle.

Design, build, and operate AWS-native AI/ML systems: RAG pipelines, fine-tuned LLMs, and microservices. Implement IaC (Terraform), CI/CD, policy guardrails, and production deployments integrating Bedrock/SageMaker, LangChain, and telemetry for secure, scalable enterprise use.

Lead AI infrastructure projects, develop GenAI solutions, drive automation strategy, and collaborate with IT and business teams for implementation.

Lead growth strategy and execution for UpToDate Expert AI across awareness, acquisition, activation, and early engagement. Drive cross-functional initiatives with marketing, sales, engineering, and data teams to improve discovery, onboarding, and activation. Define OKRs, measurement frameworks, run experiments, and translate clinician insights into product and go-to-market actions while balancing clinical, privacy, and regulatory constraints.

Lead presales for data and AI initiatives: design and present Microsoft Fabric-based data platforms, run discovery and AI workshops, scope proposals, translate technical designs into business value, mentor delivery, and support go-to-market and thought leadership.

Lead and manage SAP ERP and procurement systems while developing AI-powered analytics, agents, and modern dashboards. Ensure integrations, data integrity, and adoption of global ERP initiatives. Build Python-based applications, implement RAG solutions, develop SQL data pipelines and REST APIs, and partner with stakeholders to deliver scalable automation and reporting.

Lead AI/ML product strategy and execution: translate business needs into scalable, secure AI-enabled solutions; define product vision and governance; prioritize and manage backlog; partner with engineering, data science, and platform teams; ensure technical soundness, MLOps readiness, and regulatory/responsible AI alignment; drive delivery, adoption, and measurable business value from ideation through launch and post-launch evaluation.

As an AI/ML Engineer, you will develop multimodal AI models, focusing on computer vision and agentic capabilities. Responsibilities include data curation, model training, evaluation, and deployment while working with real robotic systems.

The AI/Machine Learning Engineer II will design and develop models to analyze data for health monitoring devices, focusing on diagnosis and prediction using various algorithms.

The Sr Engineer will develop AI/ML models for health monitoring devices, focusing on algorithm development, data analysis, and cross-functional collaboration.