AI Careers

Partners with clinical and IT leadership to deploy and govern AI-based clinical decision support tools.

Works directly with health systems to deploy and fine-tune AI agents for clinical patient interactions.

Acts as a tactical partner to the Chief Product Officer to integrate AI into clinical workflows and operations.

Oversees regulatory strategy and compliance for AI-native healthcare products and safety-critical medical agents.

Research and implement novel NLP techniques to improve language understanding and generation in multilingual contexts.

Develops and maintains technical enablement programs for customer-facing engineers to ensure they ramp quickly on Scale's AI platform.

Consultative sales role focused on demonstrating the value of AI-driven life sciences cloud platforms to prospective clients.

Review and grade AI outputs against current nursing clinical standards to ensure accuracy and safety in AI-driven healthcare tools.

Develop and deploy advanced machine learning models to enhance academic integrity and AI-driven feedback systems.

Collaborate with researchers to design rigorous experiments and build predictive models for complex AI systems.

Define and execute growth strategies for AI-powered customer experience transformation across payers, providers, and life sciences.

Develop and maintain MLOps frameworks to support the deployment of machine learning models in autonomous systems.

Manage the lifecycle of machine learning models, focusing on automated deployment, monitoring, and scaling.

Drive AI transformation for higher education and public sector institutions by managing strategic commercial relationships.

Build and ship LLM systems to production, focusing on complex agentic workflows beyond simple prompt loops.

Manage a team of AI engineers building autonomous agent platforms for industrial robotics applications.

Supports the sales process for an AI-powered underwriting platform by providing technical expertise and solution design for credit risk management.

Act as a technical advisor for complex enterprise deals involving generative AI agents and AI-powered customer experience platforms.

Partner with model and product teams to develop, validate, and improve medical large language models (LLMs) by ensuring clinical accuracy and safety.

Leads the development of innovative clinical decision support (CDS) content for AI-driven EHR-embedded applications.

Implement and deploy generative AI solutions, driving platform integration for large-scale enterprise customers.

Conduct cutting-edge research in deep learning architectures to improve model efficiency and reasoning capabilities.

Lead the go-to-market strategy for generative AI and data solutions within the healthcare and life sciences vertical.

Execute sales processes for AI-based software solutions with a focus on recurring commission-based revenue.

Train and evaluate large language models by providing high-quality feedback and fine-tuning data for AI agents.

Lead AI enablement engineering, treating platform capabilities as a product with a focus on user adoption and rapid AI iteration.

Strategizes, designs, and executes technical enablement programs for AI products and cloud technologies within the Google Cloud GTM team.

Provides specialized sales training and coaching for teams adopting AI sales platforms and automated outreach tools.

Apply advanced statistical modeling and machine learning to optimize financial services and risk assessment.

Collaborate with engineering, data science, and clinical teams to build safe, trustworthy, and scalable AI solutions for healthcare.

Perform clinical review of AI outputs, grading dosing logic and differential reasoning for advanced AI patient-monitoring platforms.

Design high-quality evaluation suites to measure and improve AI performance across various enterprise applications.

Drive the adoption of data-as-a-product principles and manage AI engineering teams focused on core digital health products.

Develop and deploy generative AI models for enterprise clients, managing the technical lifecycle from prototype to production.

Sell AI-powered marketing products specifically designed for local business growth and customer acquisition.

Utilize clinical expertise to provide high-quality training data for AI models to improve healthcare education and clinical research.

Develop autonomous AI agents capable of executing complex multi-step tasks across various software platforms.

Manage AI-driven content platform operations, leveraging machine learning to optimize publishing workflows and content delivery.

Work cross-functionally to define AI roadmap priorities and architect machine learning solutions for the insurance industry.

Develop and implement ethical AI frameworks and policy guidelines for internal AI product development teams.

Analyze emerging AI trends and draft policy recommendations for responsible AI development and deployment.

Responsible for the day-to-day scientific execution of oncology AI clinical development and strategy.

Implement generative models to enhance content discovery and user interaction features on the platform.

Own the enterprise platform product area, including APIs, integrations, and AI governance frameworks for large-scale deployment.

Design scalable AI/ML architectures for enterprise clients, focusing on LLM integration and cloud-native AI platforms.

Provides expert-level training on AI tools for marketing and sales teams within the Meridial contractor network.

Evaluate AI triage logic and differential reasoning to ensure clinical safety and adherence to nursing protocols.

Develop computer vision algorithms for real-time image processing and object detection in smart home AI applications.

Consult with clients to bridge the gap between market needs and AI product development, focusing on AI-first solutions.

Lead a remote red-team track for stress-testing AI systems against adversarial prompts to ensure safety and governance compliance.

Lead high-level AI strategy engagements for Fortune 500 clients, focusing on AI transformation and ROI.

This role operationalizes AI governance frameworks and manages the AI initiative portfolio while ensuring alignment with regulatory requirements.

Own enterprise pipeline for autonomous AI agents that operate in the shell, selling technical value to SRE and IT leadership.

Acts as a subject matter expert to train teams on AI-driven product marketing strategies and platform capabilities.

Build NLP pipelines and AI agents for clinical data intelligence platforms and automated biostatistics workflows.

Build the tooling and services necessary to deliver ML and generative AI-based products for mental health support.

Serve as technical lead for AI-driven banking products, establishing partnerships with product management to scale AI capabilities.

Bring structure to product workflows for AI-focused SaaS platforms, overseeing the development of complex, high-quality AI products.

Leads recurring training on sales methodology and technical product selling to help reps articulate AI-native value to executive buyers.

Lead a team of engineers guiding enterprise clients through the technical implementation and production deployment of AI models.

Develop resource-efficient agents and multi-modal systems capable of running on diverse hardware configurations.

Sell enterprise AI automation solutions to help businesses integrate AI agents into their existing workflows.

Analyze and support the adoption of AI tools within sales teams to improve productivity and revenue outcomes.

Optimize LLM performance through advanced prompt engineering and iterative testing for customer-facing AI agents.

Build AI-powered clinical documentation tools that assist healthcare professionals in real-time.

Design and operationalize scalable AI infrastructure to support large-scale model training and inference.

Lead the product vision and execution for a transformational frontier AI agent currently in MVP state, translating agent patterns into scalable platform primitives.

Own the roadmap for The Lab, Storyblocks' AI product team, focusing on search quality, memory, and AI-driven content distribution.

Manage AI product development initiatives within a research hospital environment, focusing on clinical AI applications.

Ensure successful adoption of AI automation platforms for real estate clients, managing the customer journey and AI performance metrics.

Lead the design and evolution of platforms and governance practices that enable scalable machine learning and generative AI products.

Build and maintain data pipelines specifically designed to feed high-quality datasets into large-scale AI training models.

Own the product roadmap for business products targeting professional creatives, building security and privacy foundations for organizational AI adoption.

Lead multi-product AI transformation projects, helping clients integrate AI into their existing business workflows.

Lead the customer success team for an AI agent platform, helping enterprise users optimize their agentic workflows.

Manage the development of diagnostic AI products, working closely with medical researchers and data scientists.

Leads sales initiatives for AI-driven financial infrastructure products, managing enterprise accounts and sales strategy.

Supports the development of healthcare technology by providing feedback on AI-powered clinical decision-support tools.

Challenge and train advanced large language models on complex medical topics to improve scientific discovery engines.

Lead the development of computer vision pipelines for industrial automation and quality control systems.

Architect data infrastructure to support real-time machine learning model training and feature engineering.

Oversee AI risk management and regulatory compliance for financial AI products, ensuring adherence to global AI standards.